Category : Digital Transformation

Digital Transformation

How MACH architecture enables agile & scalable digital solutions

Transforming digital experiences with MACH architecture

MACH architecture offers a framework for building adaptable digital solutions. It promotes a modular approach, using best-of-breed services and technologies to solve business challenges. MACH (Microservices, API-first, Cloud-native, and Headless) empowers organizations to create flexible, future-proof systems by enabling the composition of pluggable, scalable, and independently deployable components. This architecture is essential for businesses seeking to rapidly innovate and deliver exceptional user experiences in today’s dynamic digital landscape. Let’s look at some aspects of the MACH architecture:

Microservices:

Microservices within MACH architecture break down applications into independently deployable, small services. Each service focuses on a specific business capability and communicates using lightweight APIs. This approach fosters flexibility and rapid development, essential for today’s dynamic digital landscape.

API-first:

An API-first approach prioritizes APIs as the foundation for building applications and services. By developing APIs initially, organizations ensure all functionalities are accessible through standardized interfaces. This promotes integration, flexibility, and streamlined front-end development.

Cloud-native:

Cloud-native applications are designed to fully leverage cloud computing capabilities. By utilizing cloud infrastructure, these applications achieve scalability, resilience, and flexibility. Unlike traditional applications, they can adapt to changing demands and ensure high availability.

Headless:

Headless architecture decouples a web application’s front-end/mobile app from its back-end. This enables independent development and management of the user interface and data storage layers. APIs deliver content, products, or services to any device, while content creators focus on content management without UI constraints.

 

MACH architecture driving digital experience

MACH architecture: driving digital transformation

MACH architecture is a cornerstone of modern software development. Its emphasis on agility, scalability, and flexibility aligns perfectly with today’s fast-paced digital landscape. By shifting from monolithic systems to composable architectures, MACH empowers businesses to innovate rapidly and deliver exceptional customer experiences.

  • Catalyst for market speed and agility: MACH architecture empowers businesses to match the market’s rapid pace and adaptability. This is achieved through accelerated development and deployment, as well as flexible scaling. Microservices, the foundation of MACH architecture, streamline development by breaking down applications into smaller, independent components. This modular approach expedites updates and improvements, enabling faster response to market shifts and customer demands. Cloud-native design is the other key element. It provides the agility to scale resources up or down in response to real-time needs. This dynamic approach optimizes costs while maintaining performance.
  • Enhances customer experience: MACH architecture significantly enhances customer experience through personalized and seamless digital interactions. The headless component empowers businesses to deliver tailored content across various platforms and devices, creating highly personalized experiences. By decoupling front-end and back-end, MACH offers unparalleled content flexibility. The API-first approach fosters seamless integration of functionalities, resulting in a cohesive and engaging user journey. This enables richer feature sets and smoother interactions.
  • Future-proofing and continuous innovation: MACH architecture positions businesses for long-term success by enabling future-proofing and continuous innovation. Its modular structure facilitates seamless integration of emerging technologies like AI, IoT, and machine learning. This adaptability accelerates innovation and market entry for new solutions and services. Beyond agility, MACH offers sustainable scalability. Businesses can expand operations without compromising performance or efficiency. This ensures long-term growth and operational viability.
  • Enhances reliability and security: MACH architecture significantly improves system reliability and security compared to traditional architectures. The microservices approach isolates issues, preventing system-wide failures. This ensures continuous operation and service delivery. The API-first design provides granular security control through controlled access points. This reduces vulnerabilities and strengthens overall system security.
  • Drives economic efficiency: MACH architecture optimizes economic efficiency through cost-effective scaling and resource utilization. Cloud-native infrastructure enables pay-as-you-go pricing, aligning resource consumption with actual demand. This reduces costs and promotes scalability without compromising performance. Microservices and API-first approaches further enhance efficiency by optimizing resource allocation, simplifying updates, and streamlining processes.

By combining agility, adaptability, and economic efficiency, MACH architecture empowers businesses to implement advanced digital solutions while effectively managing financial resources and operational costs.

Real-life examples of MACH architecture

  • Contentful: A cloud-native content management system that uses a Headless architecture to deliver content across multiple channels and devices. It is API-first, enabling developers to create custom content models and integrate with other systems and services efficiently.
  • Shopify: A cloud-based e-commerce platform employing a Headless architecture, allowing developers to create custom storefronts and shopping experiences. As an API-first platform, Shopify facilitates easy integration with other systems and services.
  • Moltin: A cloud-native e-commerce platform built on a Microservices architecture, allowing developers to quickly and easily create custom e-commerce experiences. It is also API-first, simplifying integration with other systems and services.
  • Algolia: A cloud-native search-as-a-service platform using a Microservices architecture to provide fast and flexible search experiences. Like the others, Algolia is API-first, allowing seamless integration with other systems and services.

These examples illustrate how MACH architecture can create flexible, scalable, and personalized digital experiences across various industries and use cases.

Monolithic architecture vs MACH architecture: A Comparison

Monolithic architecture and MACH architecture represent two distinct approaches to creating digital experiences. Below is a comparison between them:

iMACH architecture and Monolithic architecture comparison

The choice between Monolithic and Microservices should be based on carefully considering the specific requirements and trade-offs of the project at hand.

Evaluating MACH architecture

Determining if MACH architecture suits your digital projects requires considering several factors:

  • Business Needs: Assess MACH’s alignment with your organization’s goals, focusing on scalability, flexibility, speed, and personalization.
  • Technical Expertise: Evaluate your team’s capabilities or the need for external expertise to implement MACH architecture.
  • Integration: Determine MACH’s compatibility with your existing systems and infrastructure, including cloud readiness.
  • Cost: Analyze the financial implications of adopting MACH, including infrastructure, tools, and personnel investments.
  • User Experience: Assess MACH’s potential to enhance personalization, page load times, and overall customer engagement.

In conclusion, MACH architecture is a transformative approach that empowers organizations to build adaptable, scalable, and customer-centric digital solutions. By embracing microservices, API-first principles, cloud-native technologies, and headless architecture, businesses can unlock new opportunities, accelerate innovation, and deliver exceptional experiences. While the journey to adopting MACH may present challenges, the long-term benefits in terms of agility, efficiency, and competitive advantage are undeniable. As the digital landscape continues to evolve, MACH architecture stands as a robust foundation for future-proof success.

Read More
Digital Transformation

Data visualization and digital transformation: a powerful partnership

Data visualization is the process of translating data into a visual format, such as a chart or graph, to make it easier to understand and interpret. It is the key to unlocking the insights hidden in your data. It is a powerful tool that can be used to communicate insights, identify trends, and make informed decisions.

Data visualization is becoming increasingly important in today’s data-driven world. Companies of all sizes use it to improve their operations, make better business decisions, and communicate their findings to stakeholders. However, data visualization can be complex to implement, and many companies face challenges such as a lack of expertise, limited resources, data silos, and compliance concerns.

A digital transformation partner can help companies overcome these challenges and get the most out of data visualization. With their expertise, experience, and resources, digital transformation partners can help companies develop and implement data visualization solutions tailored to their needs.

How to Get Value from Data Visualization: A Step-by-Step Guide

Data visualization is a powerful tool for communicating insights and driving action. However, simply creating charts and graphs is not enough. To get the most value from data visualization, it is essential to take a thoughtful approach that considers the goals of the visualization, the audience, the type of data, and the design principles involved.

Here is a step-by-step guide to help you get value from data visualization:

  • Define your objectives: What do you want to achieve with your data visualization? Do you want to inform a decision, drive action, or communicate a complex idea? Once you know your objectives, you can choose the right visualization type and design approach.
  • Know your audience: Who will be viewing your data visualization? Tailor the visualization to their knowledge and interests. Consider their level of expertise in the subject matter and preferred style of consuming information.
  • Choose the right visualization type: Many data visualizations are available, each with strengths and weaknesses. Choose a visualization type that effectively represents your data and aligns with your objectives. Some common types include bar charts, line charts, pie charts, scatter plots, and heat maps.
  • Simplify and focus: Keep your visualization simple and clutter-free. Remove any unnecessary elements that do not contribute to the message. Focus on highlighting the most critical insights or trends within the data.
  • Use appropriate scales: Ensure that the rankings and axes in your visualization are relevant and do not distort the data. Use linear or logarithmic scales as needed. Label axes, including units of measurement, to aid interpretation.
  • Emphasize storytelling: Craft a narrative around your data visualization. Explain the context, background, and significance of the data. Guide your audience through the story your data tells using annotations, captions, and headings.
  • Interactivity: Consider adding interactive visual elements, such as tooltips, filters, or drill-down options. Interactivity can engage your audience and allow them to explore the data independently.
  • Data integrity and accuracy: Ensure your data is accurate and current. Any errors or inaccuracies can lead to misleading conclusions or a lack of confidence in the tool. Cite your data sources and provide transparency about any data preprocessing or transformations.
  • Design aesthetics: Consider design principles like color choice, font selection, and visual consistency. Use color purposefully to draw attention to essential elements or to represent categorical data. Today’s audiences typically react better to flat design principles.
  • Test and iterate: Once you have created a draft of your data visualization, test it with a sample of your target audience to gather feedback. Continuously refine and improve your visualization based on user feedback and changing requirements.
  • Mobile and accessibility: Ensure that your visualization is accessible to a wide range of users, including those who are color blind in some spectrums. Optimize for mobile devices, as many people access data on smartphones and tablets.
  • Measure impact: After deploying your data visualization, measure its effects on decision-making or understanding. Analyze user engagement and gather feedback to assess whether your objectives were met.

By following these steps, you can create data visualizations that are informative, engaging, and effective. This approach is valuable because it helps to transform raw data into meaningful insights that can inform decisions, drive action, and communicate complex information effectively. Effective data visualization can make data more accessible, engaging, and memorable, leading to better-informed decisions and improved communication of insights to a diverse audience.

Benefits of Informative, Engaging, and Effective Data Visualization

Critical Attributes of a Data Visualization Tool

When choosing a data visualization tool, it is essential to consider the following critical attributes:

  • Ease of use: The tool should have an intuitive interface that is easy to learn and use, even for users with limited technical expertise.
  • Data integration: The tool should be able to import and connect to various data sources, including spreadsheets, databases, cloud services, and APIs.
  • Visualization types: The tool should offer various visualization types, including bar charts, line charts, pie charts, scatter plots, heat maps, and maps.
  • Customization options: The tool should allow you to customize the appearance of your visualizations, including colors, fonts, labels, and interactive elements.
  • Interactivity: The tool should support interactive features, such as tooltips, drill-down options, filters, and hover effects, to enhance user engagement and exploration.
  • Performance: The tool should be able to handle large datasets and complex visualizations without significant lag or slowdowns.
  • Export and sharing: The tool should allow you to export visualizations in various formats, such as images, PDFs, and interactive web formats, and easily share them with others.
  • Collaboration: If you need to collaborate on data visualization projects, consider tools that offer real-time collaboration features and version control.
  • Integration with other tools: Check if the tool integrates with other software you use, such as data analysis tools, business intelligence platforms, or reporting software.
  • Automation and templates: Some tools offer automation features and templates to streamline the creation of standard visualizations and reports.
  • Data security: Ensure the tool adheres to security and compliance standards, especially when working with sensitive or regulated data.
  • Cost and licensing: Consider the pricing model of the tool and the total cost of ownership.

 

Leading Data Visualization Tools

Optimizing Data Visualization: Key Errors to Avoid

The most significant mistake data visualization users make is misrepresenting or misinterpreting data due to poor design choices or a lack of critical thinking. This can lead to misleading or inaccurate conclusions and poor decision-making.

Some common errors and mistakes include:

  • Misleading visuals: They can include using inappropriate scales, truncated axes, or omitting data points.
  • Overcomplicating visuals: Trying to convey too much information in a single visualization can overwhelm the audience and make it difficult to discern the key insights.
  • Lack of context: Failing to provide sufficient context or background information to help the audience understand the data’s significance or the visualization’s purpose.
  • Ignoring data quality: Using incomplete, inaccurate, or improperly cleaned data can lead to incorrect conclusions and decisions.
  • Choosing the wrong visualization type: Select a visualization type that doesn’t align with the data’s characteristics or the message you want to convey. For example, using a pie chart to show time trends.
  • Ineffective use of color: Poor color choices can confuse or mislead viewers. Using too many colors, inconsistent color schemes, or failing to distinguish between categorical and sequential data can be problematic.
  • Omitting labels and legends: Missing or incomplete axis labels are often a key source of confusion. Data legends are also important. Be sure to include information about the represented start and end time period.
  • Not testing with the audience: Failing to gather feedback from the intended audience or stakeholders can result in visualizations that don’t effectively communicate the desired message.
  • Overloading with data: Visualizing massive datasets without proper aggregation or summarization can result in cluttered and unreadable visuals.
  • Copying reports without adapting: Simply replicating the visualization format of previous information on new data without understanding the appropriateness for that unique situation or audience.
  • Failure to update: Not updating visualizations with new data or changes in the underlying dataset can lead to outdated and potentially misleading information.

To avoid these mistakes, data visualization users should:

  • Prioritize data accuracy: Ensure the data is clean, complete, and current before creating any visualizations.
  • Maintain a critical mindset: Be aware of the potential for bias and deception in data visualization. Question your assumptions and challenge the status quo.
  • Seek feedback: Get feedback from the intended audience or stakeholders before sharing your visualizations.
  • Invest time learning best practices in data visualization: Many resources are available to help you create compelling and informative data visualizations.

Effective data visualization is more than just creating appealing graphics; it’s about accurately communicating meaningful insights from data. By avoiding the mistakes listed above and following the tips provided, you can create data visualizations that are informative, engaging, and trustworthy.

How can a Digital Transformation Partner Help Enhance Data Visualization?

A full-service digital transformation partner can add significant value to a data visualization tool by:

  • Customizing data visualizations: Developing custom data visualization components tailored to the specific needs and requirements of the company’s clients. This may involve creating unique chart types, dashboards, or data representation techniques not readily available in off-the-shelf tools.
  • Integrating with existing applications: Integrating the data visualization tool seamlessly into the company’s software applications can help ensure a unified and streamlined experience, allowing users to better visualize and analyze data within the context of their workflow.
  • Enabling real-time data visualization: Enabling real-time data streaming and visualization capabilities. This is valuable for applications that require monitoring and immediate insights into changing data, such as IoT (Internet of Things) applications or financial trading platforms.
  • Expanding data source connectivity: Expanding the visualization tool’s capabilities by enabling connections to various data sources, including databases, APIs, cloud storage, and external data providers. This flexibility allows users to work with diverse datasets.
  • Incorporating advanced analytics: Incorporating advanced analytics and machine learning capabilities into the data visualization tool. This can empower users to perform predictive analysis, anomaly detection, clustering, or other data-driven tasks directly within the application.
  • Developing custom reporting features: Developing custom reporting features that allow users to generate and export reports based on visualized data. This is valuable for business intelligence and data-driven decision-making.
  • Implementing robust security and access control: Security features like user authentication, profile-based access levels, and data encryption can help protect sensitive information.
  • Optimizing for scalability and performance: Optimizing the data visualization tool for scalability and performance to handle large datasets and a growing user base without compromising speed or responsiveness.
  • Ensuring cross-platform compatibility: Ensuring that the tool is compatible with various operating systems and devices, including web browsers, mobile devices, and desktop applications, to maximize accessibility.
  • Applying design thinking: Ensuring the overall experience meets users’ needs.
  • Gathering feedback and iterating: Continuously gathering user feedback to identify areas for improvement and refine the data visualization tool’s features and usability.
  • Ensuring compliance with data privacy and regulatory requirements: Ensure that interactive user features such as drill-down capabilities do not inadvertently expose sensitive customer data in ways that were not intended.

digital transformation partner help transform data visualization

 

Adding these value-added features and capabilities to a data visualization tool, a full-service digital transformation company can add considerable value and provide clients with more powerful tools for extracting insights from their data. This can increase customer satisfaction and create a competitive edge in industries that rely on data-driven decision-making.

data visualization and digital transformation a powerful partnership

Read More
Digital Transformation

Digital Transformation in Education industry – Challenges & Solutions

“The modern student expects immediate results and real-time experiences, and if education can’t give them those things, we live in a second-class environment.”

The world will spend $7.3 trillion on education by 2025, and only 5% of that will be allocated toward digital education. This shows that education still has a long way to go before digital technological advancements are considered core strategies or skills.

Even though digital tools have the potential to change how students learn and how teachers teach, many schools and universities still need to use and implement technology well enough.

In this blog post, we’ll talk about why the education industry is still behind in adopting digital technology and what could be done to help it catch up.

#1: Attention Recession

A recent survey showed that up to 70% of Dutch students are unhappy with how lessons are taught now, especially in virtual classrooms. These students have said they would like more personalized lessons, more chances to work together, and more help from their teachers.

While some students have cited technical difficulties as a reason for poor attendance during virtual classes, it is important to note that the underlying issue is a lack of connection between teachers and students.

This disconnect highlights the limitations of a one-size-fits-all approach to education, which fails to consider each student’s unique learning needs. As a result, educational institutions face high dropout rates and increased stress levels for teachers and students. To deal with these problems, schools must use strategies that put personalized instruction first and give teachers and students more help. This will make learning more effective and less stressful.

The Solution? – Personalization and Gamification to Create Habit Loops

Institutions of learning need to prioritize personalized learning methods and offer flexible solutions based on each student’s strengths and weaknesses. This can be achieved by customizing courses to meet the specific needs of each learner.

Another effective strategy is to incorporate the gamification of education into mobile applications, utilizing game-based elements such as points, badges, rewards, and certifications to enhance engagement and retention and allow more adaptive learning. The ultimate objectives of implementing gamification include increased traffic, repeat visits, and higher student engagement.

This helps empower more blended learning, engagingly utilizing digital resources, and student-centered learning. It also helps to identify at-risk learners and provide the most effective support for each person, enabling lifelong learning.

Educational institutions must also implement a streamlined, intuitive platform with a user-friendly interface that guides students step-by-step through tasks and has multiple microservices to support the various disciplines. This type of system would benefit students and faculty and enhance collaboration among them.

#2: Underinvestment in Educator Training

Back in 2013, the Los Angeles Unified School District initiated a program to furnish every student with an iPad to augment technology access and improve the classroom experience. However, the program was beset by various challenges from its inception. One significant challenge was the need for more appropriate iPad content and resources.

Furthermore, many teachers reported needing to be provided with adequate training to utilize the technology in their classrooms effectively. Additionally, students were able to circumvent security features on the iPads, leading to non-educational usage. Another significant challenge was the program’s substantial cost, with a total expenditure of $1.3 billion.

This drew criticism from some who believed the funds could have been allocated to other educational programs. The program also encountered numerous security issues, with the personal data of students being compromised and students accessing inappropriate content.

Due to these challenges, the program was ultimately terminated, resulting in significant financial losses for the district. This case illustrates the importance of thoroughly assessing all training and support aspects before implementing educational technology and keeping up with the digital transformation industry trends.

The Solution? – Advancing the Skills to Utilize Technology

By hiring a full-service digital transformation agency, teachers and faculty can get specific, expert-led professional development to help them use technology better in the classroom. An agency can assist in the implementation process, providing ongoing support to ensure technology is utilized to its full potential. It can also provide the necessary support to overcome any technical difficulties that may arise while using technology in education.

 

Robosoft Contact Us

 

#3: Inability to Keep the Digital Equity

The proliferation of technology has the potential to bridge the digital divide. However, it also highlights existing educational disparities for students from different geographic regions and those from varying socio-economic backgrounds.

The Solution? – Implementing Connected Learning Communities through Digital Transformation

This helps students in faraway places connect with teachers, mentors, and peers from other places to solve this problem. It also provides valuable opportunities for collaboration and learning and facilitates professional development and the sharing of best practices among educators.

Using a mobile app with geo-location tracking technology can help this effort even more by putting students and teachers in touch with the resources and opportunities closest to them and most useful to them.

Room to Read

Robosoft helped Room to Read, an NGO, transform underprivileged children’s lives worldwide through technology. It developed an innovative online reading platform that provides children with access to a vast library of books, videos, and resources in over 28 languages, empowering them with the tools and knowledge they need to succeed in the future.

The platform also has videos that show teachers how to do practical reading activities with children. It also helps local writers and illustrators make culturally relevant and age-appropriate children’s books. This empowers the next generation of change-makers, inspiring hope and creating a better world.

#4: Minimizing Customer Acquisition Costs

With the modern student seeking immediate results and real-time experiences, universities face the challenge of providing assistance outside of traditional business hours. The inability to offer assistance to prospects seeking information during non-business hours could lead to a decrease in engagement on university websites and an increase in customer acquisition costs.

The Solution? – Deploy AI-powered Assistants to Enhance Customer Experience

Deploying automated digital assistants ensures students have access to information whenever they need it. Some tasks, like responding to frequently asked questions, are better suited for digital assistants than humans.
On the other hand, the university staff is better prepared to handle later-stage engagement, such as inviting students to visit the campus. This contributes to shrinking acquisition costs and more meaningful engagement with prospects.

 

Robosoft Edutech & Learning Case Studies

 

#5: Data Working in Silos

Many organizations need help to utilize the vast amount of data they collect effectively. They tend to categorize this information, with different departments collecting data on various aspects of their operations, such as website engagement and application rates.

However, this lack of data integration results in a lack of comprehensive understanding of their target audience, student engagement, and the institution’s ability to retain students from initial engagement to graduation.
This inability to effectively collect and integrate data puts the organization at a disadvantage. Without a complete and accurate understanding of their operations and audience, decisions regarding marketing, class creation, and other operations may not be based on complete information.

The Solution? – Adopt Data-Driven Technology

Higher education institutions must harness the power of data-driven technology and analytics to stay competitive in today’s data-driven world. By collecting and analyzing data on students, operations, and engagement, institutions can gain valuable insights that can be used to improve student outcomes, optimize resource allocation, and drive better performance.

Predictive analytics can also identify at-risk students early and intervene to improve outcomes. In addition, data-driven technology and analytics can help institutions with their marketing and enrollment efforts by identifying the key factors influencing enrollment decisions and targeting their marketing efforts more effectively.

#6: Absence of a Roadmap

Adopting new technology can be daunting for any organization, especially for large schools undergoing a digital transformation. A lack of strategy can pose a significant challenge, making it difficult to know how to achieve desired outcomes and measure progress.

The Solution? – Define a Set of Clear Objectives and Goals

To ensure a successful transition, it is crucial to establish a clear direction and objectives from the beginning. This includes outlining what the school hopes to accomplish by the end of the transformation and the steps it will take to reach this goal.

Additionally, providing support to educators throughout the process can help ease any anxiety and ensure a smooth transition. By outlining a comprehensive strategy that includes specific objectives, steps, and support, the school can not only keep the process on track but also measure progress and achieve desired outcomes.

How Can Robosoft Assist the Education Industry with a Successful Digital Transformation?

The education industry is facing a critical need for digital transformation to keep pace with the changing needs of students and educators. Robosoft can assist in this process by providing a wide range of solutions that help optimize the educational experience. These solutions include automating repetitive and mundane tasks, using AI-based technologies to personalize learning, providing analytics and insights to make data-driven decisions, implementing virtual and augmented reality technologies to enhance classroom experiences, and providing a secure and reliable infrastructure for online learning.

Robosoft can also assist in integrating new technologies, support the training of educators, and provide ongoing maintenance and support to ensure that the digital transformation in higher education is successful.

Additionally, Robosoft can help education institutions develop a comprehensive digital transformation strategy that aligns with their specific goals and objectives. By utilizing Robosoft’s expertise and solutions, education institutions can ensure they are well-equipped to meet the digital age’s demands and provide their students with the highest quality education. For more information on how to have a seamless transition to digital transformation, contact us.

Read More
Digital Transformation Travel, Tourism & Leisure

New Age Flyers Want a Seamless Airport Experience

An airport is no longer just a temporary home for passengers in transit or those making their way to scheduled flights. Airport users can spend their waiting time between flights at any of the retail outlets, food courts, gaming arena or lounge areas for infotainment/recreational experiences.

However, as more airports get privatized, they’re under pressure to show profitability by increasing their overall revenue with an emphasis on generating more revenue per customer. Considering the change in the nature of the airport experience, airport operators have the opportunity to transform the airport from a point of transit to a destination in itself. As a result, they can grow revenues by enhancing the emotional connection with customers and enabling a superior experience they would want to repeat – by crafting relevant digital solutions.

The Airports Council International shared an interesting overview of the airport economy:

Passenger satisfaction can be achieved in two ways at the airport – by ensuring seamless transit or by keeping them engaged during their time at the airport. In recent years, technology has proved to be the differentiator between a nightmarish or boring experience, and a memorable experience they would eagerly repeat. As illustrated below, there are infinite touchpoints at the airport where technology can help airport management design a welcoming and intuitive experience for passengers.

Passenger touchpoints at the airport

The need for a unified and seamless experience for airport users

Many airports offer a fragmented customer experience as they force passengers to crisscross different touch-points from the point of entry through to parking, check-in, baggage, navigation, food and recreation, boarding, immigration, and so on. Often, they lack a single source of information and don’t have digital means to pre-book or check availability of certain services such as lounge area etc. In specific cases of first-time travelers or elderly flyers, navigating through busy, large airports can be overwhelming and disorienting.

Current airport structure

However, through technology interventions, airports can go a long way to provide a more unified and harmonious experience for airport users. For example, they could develop a mobile-based app or website that integrates the passenger’s journey at various touch points and enables a single point of information for all their needs from the time they arrive, transit, and depart from the airport.

Here, we illustrate the different possible ways in which technology can intervene to enable a unified and seamless airport experience.

Technology enabling a unified and seamless airport experience

Many airports, including the best, busiest, largest, and popular ones, are implementing some of these digital solutions. Here, we present some of the innovative use cases that are emerging as a result.

Simplifying the passenger experience through technology

Airports of the scale of Changi or Heathrow are among the busiest in the world and navigating through these crowded spaces can be a stressful, even tedious experience for passengers. Listed below are some of the passenger-centric digital paths that are redefining and simplifying the airport experience across different touch points.

#1 Smart parking – Airports can integrate a parking solution on their app/website that allows passengers, especially those who are hard-pressed for time, to reserve spots in advance. They can use their allocated QR codes to pay for this service and enjoy the benefits of knowing exactly where to park and plan their travel/commute accordingly. This can address the stress points and improve efficiencies for airport authorities and passengers as well.

#2 Easy navigation enabled by Augmented Reality (AR) – Passengers can use AR guided navigation on their phones to find their way through vast airport spaces, avoid crowded spaces, find the least congested lounge areas or restrooms, and get to their destination gates faster, especially when they are running late. The UK’s Gatwick airport has invested in beacon technology in the form of 2,000 battery-powered Bluetooth Low Energy beacons for this purpose. Also using beacon technology at United Airlines’ Newark airport hub, its app users can pin their location inside the airport and be guided to their boarding gate, ATM, restroom, dining area, waiting areas and more. This is drastically reducing travel day friction for the airline and its passengers at the airport. Other approaches being developed in this area include built-in mobile sensors and cloud-based AR that superimposes user-centric digital content over physical objects.

#3 Information and navigation with robots as guides can provide flight-based information to help passengers navigate through the airport unhampered. British Airways has invested in autonomous robots who interact with passengers at Terminal 5 in multiple languages and keep them informed with real-time updates. Also at Heathrow’s busiest terminal, self-driving luggage vehicles are being used to trim down lengthy waiting lines. The future for robots at airports looks promising with other airports including Seoul, Munich, and New York’s LaGuardia also trying out autonomous machines on their premises. Robots will take over check-in processes by the end of the decade predicts a 2020 report by Vero Solutions.

#4 Wheelchair assistance using AI & ML – Clever implementation of AI and ML can help those with mobility challenges or sensory impairments who need to be assisted through airport procedures including check-in, security, baggage claim etc. An innovative example of this is being implemented at India’s Sardar Vallabhbhai Patel International Airport in their AI-based surveillance desk that will serve senior citizens, infants and other passengers seeking timely wheelchair assistance in case of an emergency.

Enhancing leisure and entertainment at airports

The convenience industry is growing significantly as people expect everything to be delivered wherever they are. Digitalization is enabling this along with time saving, cost-saving benefits for the airport authorities who need to deploy fewer staff for various processes. For passengers, the biggest advantage is less time spent at the airport as they don’t have to come hours in advance to the airport to complete checking in before boarding their flights. But there are times when passengers are forced to have long layovers especially, in international travel. Here, the airport management knows that real value comes from offering premium services in ways that make users feel the premium-ness of the experience.

Airports are using several technology deployments to create a premium leisure experience and increase their non-aeronautical revenue.

#5 One-stop-shop for all travel-related info, especially when traveling in countries where passengers don’t understand the local language, having a single app can smoothen their transit with timely notifications to move from point A to B and so on seamlessly. If their layover is lengthy, they could also benefit from local travel suggestions, and personalized offers and recommendations for leisure, entertainment, food as well.

#6 Gamification opportunities at the airport – Authorities at Cochin’s International Airport introduced interactive video games to inform passengers of first-aid principles for heart disease. Gamification will allow new-age travelers who have long layovers to entertain or distract themselves. There could be a competitive element introduced by offering players discounts or airport-specific reward points that can be redeemed at retail or duty-free outlets. Airport authorities can also draw more attention to certain portions of the premises such as lounges and direct people towards these in order to decongest other parts of the airport.

#7 Using geofencing/ beacon technology and location, airport apps may be able to push targeted offers and messages to people at the airport. For example, the Miami International Airport app sends offers and recommendations to travelers prompting them to patronize food and retail outlets.

The age of the digital airport is here

Technologies like AI/ML, AR/VR are holding sway in the market as they continue to disrupt, enable, and engage passengers with the power of digital experiences at airports. These digital solutions offer benefits to the airports, airlines, and travelers alike and the opportunities that they open up, are truly infinite.

Using these solutions innovatively, airports certainly have significant potential to grow non-aeronautical revenues while strengthening ecosystem relationships and addressing some of the inherent complexities and pain points in the industry. These possibilities are captured in the visual below.

Nevertheless, the new-age traveler still expects the human touch to an extent. Therefore, airport authorities must refrain from blindly investing in technologies, which can be costly and ineffective. Instead, they need to take an iterative approach to digitalization and create a clear blueprint of the right technologies and tools that retain enough of the physical aspects to make the digital airport experience real and memorable.

Read More
Digital Transformation

From the Ford Model T to IoT: the automobile revolution

When motorized vehicles were first seen in the early 1800s, these ‘horseless carriages’ were perceived with ‘magic and wonder’. They brought with them a paradigm shift in the way people moved and lived.

In 1902, Henry Ford built his own ‘horseless carriage’, but had already failed twice at manufacturing commercial automobiles. It was his partnership with Alexander Y. Malcomson, Detroit’s largest coal dealer, that helped him succeed with his third attempt – . Ford’s Model T.

He revolutionized mass production of these ‘magical vehicles’ that were affordable and targeted at the masses. Using assembly lines, around 10,000 cars were being produced each day; this was a milestone moment in automation for the entire manufacturing sector, changing the very nature of production. Over the years, several car manufacturers entered the fray and automation in the manufacturing sector increased several fold, sparking a revolution in the manufacturing industry.

The next milestone in automobile evolution is here – digitalization is sparking a new revolution for the sector, redefining personal transportation yet again. New horizons are emerging around digitalization, especially through ‘Industry 4.0’ and Industrial Internet of Things (IIoT).

Digitalization is re-defining mobility and the car ownership experience

Digitalization and automation are re-defining mobility and can be seen as a win-win for both, car owners and automobile manufacturers.

While cars were earlier seen as a luxury, they have now become a necessity and an integral part of lifestyle experience. They are much more than just means of personal commute. Apart from the avenues that mobility opened up for them, car owners are now ready for a new relationship with their vehicles, through smart cars and in-built ‘digital assistants’.

Digital is bringing next automobile revolution

For car manufacturers, digitalization is helping them maintain an ongoing and direct relationship with their customers, apart from getting access to data collected by these smart vehicles. This data is helping car manufacturers get insights into the ownership experience, driving behavior and vehicle response in different conditions, which aids their future development and business strategies. Digitalization is also automating the manufacturing processes with new efficiencies and helping them innovate on behalf of consumers with partners in the ecosystem, such as dealers and insurance providers.

Manufacturers are increasingly relying on technology across their processes

Automobile manufacturers are depending on digitalization like never before. Digital technologies are being applied across processes, right from product design to customer engagement. These include:

  • Digital technologies are being used for product and process simulations, closing the gap between product design and manufacturing feasibility. With virtual prototypes reducing cost of research and development, it is also leading to faster production and easy management of complexities.
  • With Supply Chain 4.0, supply chain management and logistics have become more automated.
  • Dealers and service networks are now closer to the automobile manufacturers, thanks to digitalization. Dealerships have become touchpoints for customer experience.
  • With customers moving to digital buying experiences, sales and marketing is embracing new technologies to include personalization and improve the car buying experience.

Digital technologies fulfill the promise of personalized mobility

With the advent of ‘smart’ cars that often come inbuilt with digital assistants, the relationship that people have come to have with their vehicles has transformed. Right from research around the kind of vehicle they want to buy, to the purchasing cycle that follows, people are turning to online channels or a combination of online and physical channels. This is the reason that many automobile manufacturers are turning to digital channels – to attract buyers and maintain a sustained relationship with customers.

With increasing digitalization, the driving experience has also seen a transformation. Smart cars are improving the driving experience in a myriad of ways – by informing their owners about the time taken to reach their destination, vital parameters such as air pressure in the tires, roads to avoid, parking assistance, speed warnings – and this is just the beginning.

Dashboards in cars have been reimagined and now are a portal for a host of infotainment and telematics services. In-car digital assistants not just improve conveniences, but also offer a host of services, such as vehicle tracking, security and 24/7 road assistance in case of any breakdown/ accident.

Reshaping public commercial transportation

Digital disruption is also now igniting imagination of new systems around public and commercial transportation. Online ticketing, online payments, tracking and other digital options are now seen as pre-requisites of an efficient public transport system. But to popularize use of public transport, urban planners are looking at the opportunities digitalization has to offer.

Digital solutions for fleet management and route optimization are being used by several public transport operators across the world, while apps integrating different modes of public transport – buses, trams, metro rail, mono rail etc. – are either already in use or are being developed in several cities.

The future of transport with autonomous, electric, connected and personal vehicles

The automobile sector is going through another paradigm shift. With climate change now more real than ever, automobile manufacturers are investing heavily in electric vehicles. Research is ongoing into the sphere of autonomous or self-driven cars, which is likely to herald a completely new era of transportation.

Despite the ground-breaking research and huge investment in these areas, car ownership has seen a decline. Towards this end, shared mobility, such as ride sharing or carpooling, could see a rise in the future.

Read More
Digital Transformation

Building Blocks for Successful Digital Transformation Programs: my experiences from Japan

Digital transformation or DX can be defined as bringing cultural, organizational, and operational changes in the organization, and across entire ecosystem through digital technologies, processes, and competencies across all function levels.

Over the past few years, Japanese companies have been focusing on digital transformation and modernizing their businesses to accelerate their growth. Pandemic gave an opportunity to further accelerate the transformation for the organizations.

Current scenario: Digital Transformation is serious business

Not just businesses, but even the Government of Japan is showing a keen interest in digital transformation and sees that as an opportunity to drive up productivity and build a stronger nation. They have set up an ambitious plan called Society 5.0 which is defined as ‘a human-cantered society that balances economic advancement with the resolution of social problems by a system that highly integrates cyberspace and physical space’. In order to meet this objective they aim to integrate cyberspace & physical space, use technologies such as AI, IoT and Robotics.

However, certain structural challenges such as the ageing population and increasing skills gaps have hindered their digital transformation efforts. According to IMD’s Digital Competitiveness metric 2021, digital talent in Japan is just 1% of its entire workforce and the country ranks 28 in digital and global competitiveness. Further delays in digital transformation could jeopardize their position as the third-largest economy.

Japan Digital Score Card

Japan Digital Score Card, Source: Deloitte

Improvement in workforce productivity especially in the areas of digital experiences has been a challenge for several years. Japan has a digital workforce productivity of 7.6 as compared to US which is at 13.3.

I have lived and worked in Japan for almost a decade and my areas of expertise span across IT Consulting, large-scale Digital Transformations, bootstrapping IT setup and scaling it across organizations to drive business growth. Based on my interactions with business and technology stakeholders across leading organizations in Japan, I would like to explain how this problem can be tackled efficiently.

Challenge #1: Understanding the “WHY” part of transformation

McKinsey’s recent report on Transformation Change says that only 16% of digital transformations are successful. Lack of clear strategy could be one of the reasons for such a low rate. The ideal approach would be to start with a clear strategy. Start with knowing the ‘why’. For example, ask yourself why is digital transformation necessary? Will it increase the revenue or decrease the overall OPEX? Knowing the answer to the ‘why’ will give you a head start to a smooth and successful implementation. It is important to involve the Business & IT Strategy teams. The business strategy is the outcome that the company plans to achieve through transformation. The IT strategy involves the technologies that will be used to make the transformation successful.

Actionable tips

  • Build business-IT alignment and consensus. Research shows that better IT and business team alignment can improve operational efficiency by 58% and customer experience by 54%.
  • While both Business & IT teams find ways to build the consensus, IT teams can take the lead in explaining the values it can generate for the business. Visualization, road shows can help to solve this problem. They should be able to explain how the changes can help the business unit improve its productivity or enhance performance.
  • Seek help from a technology partner company to help you sharpen your technology strategy. This could be the best chance to overhaul your complete enterprise architecture as well.

Challenge #2: Resistance to change

Willingness to change is an important factor contributing to the success of Digital Transformation. Change in the mindset is very much required to improve the adoption of Digital Principles in running the IT of organizations.

According to McKinsey’s research, two out of three Japanese managers feel they are not fully prepared to undertake digital transformation projects. There’s also the fear of failure, as only 16% of projects in Japan have been successful. Getting executive and stakeholder buy-in is vital to greenlight the project with adequate budget and resource allocation.

DT readiness globally

Actionable tips

  • Stakeholder buy-in and continuous engagement is of paramount importance.
  • Organizational Change Management practices must be followed and a Change Manager must be appointed.
  • Take help from technology partner companies to develop a proof of concept (POC) or proof of technology (POT)
  • Robosoft, for instance, does lighthouse projects to build POCs and POTs. We pick up small-scope projects that can be completed within weeks and collaborate closely with the customer teams. We demonstrate the outcome, show that as quick wins, conduct demos and help to win the confidence of stake holders. We observed this helps the customers to overcome the fear of failure, encourage them to adopt technologies and set their foot in right direction.

Challenge #3: Increasing skills gap

Call it a symptom of ageing demography or the dynamic nature of technologies that change quickly, Japan has a shortage of skilled resources. 68% of Japanese companies cited human resources shortage as a challenge. The reports showed that the country has a massive shortage of artificial intelligence and data analytics specialists and a major factor for this problem is the lack of funding and support on new investments in digital areas. Cloud Engineering, Artificial Intelligence, Analytics is expected to grow to 15.6 million and it is high time for the Japanese Organizations to catch up with this speed.

ICT investments in Japan

Actionable tips

  • Ongoing wave of digital disruptions requires multitude of roles within the organizations. They must re-organize their IT teams and fill key roles such as Product Managers, Product Owners, Scrum Masters, Change Managers, Enterprise Architect, Data Analysts etc. Companies must understand the typical roles they would need to keep it in house and start hiring for the same
  • Organizations traditional thought process to outsourcing – While the organization is building its own team, it is also equally important to start identifying outsourcing partner with whom the internal teams can work and gain exposure.
  • Do not ignore your internal team of experts. The external partner brings global and technical expertise and experience. But the internal teams know the business processes and systems of the company well. They represent the company and know what they want. They act as a support function and subject matter expert to the external technology partner. Always take a hybrid approach wherever possible.

Challenge #4: Lack of meaningful relationships with external technology partners

Traditionally, Japanese companies rely heavily on external partner companies for system integration and other tasks that are ideally done by the in-house teams. However, most of these external partner companies have a tough time understanding the business needs and have limited ability to perform a full-scale digital transformation. It is important to evaluate the technical partner on multiple fronts before you select the right partner.

Actionable tips

What the CXOs expect in their partner companies before choosing one and why Robosoft can be the preferred choice.

  • Global expertise is a must have for partner companies. Working with multiple global organizations ensures understanding of a wider spectrum of business and solutions.
  • Working with larger organizations helps to clearly demonstrate best practices, do’s and don’ts of DX and get unbiased advice.
  • Time to market is always a critical factor. Technology Partner to have readily available and skilled talent pool.
  • Quality always matters. The availability of Subject Matter Experts in the domain and a strong Technical Team is imperative.
  • Ability to work as a trusted partner understanding the larger picture of business and to provide proactive solutions.

Challenge #5: Choice overload

There are hundreds of service vendors each in SaaS, PaaS, XaaS, pure play services IT play. Do you know that there are over 360 vendors for PaaS offerings alone? Companies are spoiled for choices. They can choose from an array of technology options and service providers. While this is good, so many choices can overwhelm you. CXOs often get caught up in the decision-making process.

Actionable tips

  • Find a partner who can work at all 3 levels of an organization: Executive, Business and Project”. At Robosoft we aim to build deep relationships at level to align ourselves with the vision & mission, business goals of the organizations. Further, we help to narrow down the choices so you can make the right decision. Here’s how we do it for our clients.

Robosoft's engagement model

Enterprises want to make impactful strides in terms of scalable digital transformation and the Government of Japan is also pushing them to make efforts to deliver results. Despite the challenges organizations are well poised to take the next big leap. The right technology partner can accelerate your digital transformation project and help you realize its full potential.

Read More
Digital Transformation

How Digital Transformation is Enabling a Swift Strategic M&A in Automotive Industry

If anything history has taught us, it is the brave, innovative, believers, and risk-takers who emerge the strongest after a catastrophe. The pandemic brought such an unprecedented event to people, businesses, and industries in general.

The COVID-19 pandemic brought additional challenges to the automotive industry which deeply impacted manufacturing quantity and quality, supply chains, chip shortages, and already shrinking global demand for vehicles. The pandemic, economic downturn due to the Russia-Ukraine war, etc. has leveled the playing field for auto manufacturers and original equipment manufacturers or OEMs globally. The field is set for proactive players to leverage this opportunity to the fullest.

We are already witnessing an increase in M&A and disposal activities as companies are focusing on rapid strategy execution. Using M&A, companies are now capturing and accelerating new capabilities, improving delivery time, and even improving their position in the market.

Automotive mergers and acquisitions since 2021

Mergers & Acquisition activities in the news

 

Mergers and Acquisitions in automobile industry since 2019

Source: Crunchbase

Auto manufacturers and OEMs are now finding that sweet spot of incorporating technology not only into their production but in mergers and acquisitions as well.

Disruptions due to digital transformation in the automotive industry

There was a time when legacy organizations held steadfast to their age-old beliefs and showed great aversion to any kind of change including technology.

But as we witness day after day, digital transformation is simplifying the lives of millions worldwide, and legacy organizations have started taking note. They are now becoming the beacons of change and leading the digital transformation revolution across industries.

The automotive industry is a highly competitive industry that is now continuously evolving by rapidly digitizing its operations. Digital transformation positively influences the entire value chain and impacts all stakeholders alike – consumers, suppliers, dealerships, manufacturers, and financial institutions.

New customer experience trends are now driving the digital transformation in the automotive industry. Customers are now seeking connected vehicles that offer a personalized driving experience. This rise in demand has come at such a crucial juncture where automotive manufacturers are short on supplies and going into losses.

Automotive majors took this opportunity to become more technology-centric organizations by adopting various tools such as big data analytics, cloud computing, and body/road sensors. The influence of technology could also be seen in establishing an efficient supply chain management system and enhancing vehicle performance through remote diagnostics.

Current Trends and Key Challenges for OEMs facing an Uncertain Future due to Changes in the Industry

Original equipment manufacturers face several challenges in today’s automotive industry from supply chain disruptions to shortage of semiconductor chips and skilled labor. This is why we will see companies increasing M&A activities in near future to acquire the capabilities they need to produce existing products as well as develop future ones.

#1 Surge in demand for Electric Vehicles or EVs

Since the introduction and favorable government norms, there has been an exponential increase in demand for EVs.

Electric Vehicles market in 2030s

Source: marketsandmarkets.com

We are now witnessing various M&A related to EVs and autonomous vehicles (AV) between auto manufacturers, OEMs, and technology companies. It could well be a continuation of the trend from 2021 of SPAC mergers with early-stage automotive companies in the EV and AV space.

The increased demands for EVs mean key players will shift their R&D and production capacities to electrification, digital transformation deals (software, connectivity, customized chips), EV battery and fuel cell technologies, and charging infrastructure.

#2 Major disruptions from changed market behavior and expectations

The demand for new and costly features by customers with higher-tech means more pressure on OEMs to deliver quality in a shorter time frame. Adding to this, there are challenges with regulators rightfully demanding the strictest adherence to environmental and safety standards.

The impact of CASE (Connected, Autonomous, Shared, and Electric) megatrends also could be denied by OEMs to further increase the pressure on them. The disruption caused by these trends is restructuring the market with the future automotive industry likely to look substantially different from that of today.

Thus, OEMs are likely to enter into joint ventures sharing their R&D expenses and gaining access to scarce components such as semiconductors. Further, there will be alignment challenges with the governments to create the necessary charging infrastructure for EVs.

#3 Minimal differentiating factors

Earlier, manufacturers differentiated themselves on economies of scale, standardization, and product differentiation. Now with a seismic shift in the auto industry with advanced digital technologies, the differentiation factors have also changed.

Incorporating analytics, automation, and AI to improve efficiency across supply chain management to product development and customer relationship management is a must for almost any organization now. If businesses can’t keep up with the digital transformation, their businesses start bearing negative results.

In extreme cases, some traditional automotive suppliers must build exit strategies amid technological disruption across the sector. The financially and technologically weakest companies could be easy identifiers for turnarounds or restructuring by larger and technologically adept players.

#4 Change in organizational goals

The time is ripe for up-and-coming players in the auto industry to reconsider their vision for the future. They must now identify likely changing areas of profitability using scenario planning over the course of the next 10-15 years. Aligning your goals with changing times could prove to be vital as coming years declare a stark warning to those OEMs who are standing still.

Opportunities in Strategic M&A of Auto Manufacturers and OEMs

#1 New product line and business models

The first movers among the OEM and auto manufacturers are investing heavily in digital transformation to gain a competitive advantage. They are also competing with tech companies to enter into new businesses such as autonomous driving, connected services, etc. The strategic M&A with digital companies is also opening up new avenues for OEMs to establish communication channels with customers for selling vehicles, accessories, and services directly.

#2 Flexibility in choosing available strategic options

OEMs and their partners currently have three options to tackle the change and disruption in the industry – build, buy, or partner.

buy build partner for OEMs

Buy

Small to mid-size automotive companies continuing their own production are bearing double expenses. There are two primary reasons for this –
(i) Continue manufacturing their existing products with upgraded features
and (ii) Developing hybrid and electric vehicles autonomously

Despite the heavy cost, the main advantage of adopting a build strategy by OEMs is preserving the rights to the intellectual property associated with the capability or technology they have built.

Build

Companies can supplement in-house development with strategic M&A that helps fill the gaps and get instant access to required technologies. However, the increased costs of these assets act as a barrier to this method for most.

Moreover, the pandemic and lack of resources have made sought-after assets such as electric powertrain or connected car assets highly desirable and relatively rare. Also, there is a scarcity of assets associated with future technologies with appropriate scale.

However, there is an influx of capital toward tech-enabled companies that use intangible assets to serve customers. These companies are using newer business models with revised goals and letting technology play a far greater role than ever. Investors are betting big on these tech-enabled companies to provide important CASE capabilities to incumbent players in the auto industry.

Partner

Various analysis of the auto industry indicates a continuity in partnerships between automotive businesses as joint ventures or strategic partnerships. The main objective behind these partnerships is to share the burden of product and capability development.

Recent years have shown various automakers and OEMs to get involved in next-generation technology-related partnerships. We can expect full mergers between an auto manufacturer and a technology partner to create larger companies with larger balance sheets and larger capital spending capabilities.

Whichever strategic direction a business may choose to go, they must regroup first and ask important questions to themselves about their long-term and short-term plans. They must be open and honest to themselves about what new capabilities they need to bring into their organization, what are the gaps, and which strategy among build/buy/partner will be beneficial for them to fulfill those gaps.

Impact of Digitization on M&A of Automotive Manufacturers and OEMs

Improved efficiency: As automotive manufacturers and OEMs are gearing up toward the next generation of mobility, they are increasingly leveraging digital transformation to improve development time to market, reduce costs and improve efficiency.

Value addition for customers: While buying a company with an established working model, having a strong clientele base, talented workforce and technical know-how give automotive companies a head-start in achieving their business goals – acquiring digital assets enables them to not just accelerate but also add value to their existing operations which in return adds value to the customers.

New innovation and development: Automotive companies have also been looking at mergers and acquisitions as a way to innovate and develop new technologies for emerging mobility products such as e-vehicles, autonomous vehicles, connected vehicles, etc., which needs quick access to a talent pool with new capabilities.

Harmonious integrations: Digital transformation has opened up opportunities for automotive firms to integrate platforms from different industries that weren’t even previously considered part of vehicular services. For example – A car rental app can be integrated into an autonomous vehicle so that users can call upon them through voice commands on demand.

Digitization enables a quick M&A in the automotive industry

Some of the factors that play a role in the industry-wide changes could be found among the following:

  • Governments impose stringent emission norms for passenger cars due to environmental regulations. These strict norms reduce profitability for OEMs who relied on cheaper but environmentally harmful emission parts for vehicles. Now every manufacturer has to consider environmental friendliness while manufacturing parts
  • The economic downturn and the pandemic along with digital transformation have acted in conjunction to let smaller car manufacturers enter the market rather easily. The bigger players now not only have to reduce cost, increase profitability, and introduce digital, but also take care of competition from small players
  • The lack of resources and skilled labor has significantly increased product development costs. Companies are now in a conundrum to carve out non-profit making bodies and sell for capital while making sure they don’t look desperate to maintain their stock price

With all these factors pressing down on them, many auto manufacturers and OEMs are left wondering how they can survive the digital transformation in this sector.

Introducing digitization in any M&A significantly speeds up the process which proves to be beneficial for both parties involved.

A swift merger & acquisition between two parties can be done with the help of the right technology partner.

What is the importance of choosing the right digital partner?

Digital transformation brings a fundamental change to the companies by helping them embed required technologies across functions.

When done properly, digital transformation increases efficiency, develops greater business agility, and ultimately unlocks new values for employees, customers, and shareholders.

This is why it becomes critical for companies to seek help only from experts and specialists with a proven track record. The right technology partner can keep your company on track and guide you throughout the process of M&A.

Conclusion

Customer experience is becoming an important factor in driving digital transformation across the automotive industry. OEMs and dealers too must be in tune with the changing behavior of consumers or they risk falling behind.

Since it is not entirely a new thing, changing trends will call for more quick mergers between auto manufacturers and OEMs. Both parties should look for a quicker turnaround time for the merger. A swift action ensures profitability and scalability measures are taken as quickly as possible post-merger.

This trend will only gain more momentum as the introduction of electric vehicles is now bringing a whole new shift in the dynamics of the automotive industry. The future looks equally scary and exciting for auto manufacturers and OEMs depending on how brave and innovative they are and fast they can act and adapt.

Read More
Customer Experience Digital Transformation

5 Customer Experience Trends in Automotive Industry Shifting Gears towards Digital Transformation

The automotive industry is one of the major industries that has witnessed a massive digital transformation in recent years. Digital is revolutionizing the automotive experience for consumers. The recent innovations in automobiles are designed to complement the overall driving experience of a consumer. One could even go on and say there is a clear shift from RPM (Revolutions Per Minute) to EPM (Experiences Per Mile) when it comes to customer needs from their automobile. The industry must quickly find new ways to adapt to this growing customer need or risk being left behind. One major factor of digital transformation is mobility where customers want to get everything done from their always evolving smartphones. But the future of mobility in the automotive industry doesn’t lie in the features offered for the vehicle but lies in redefining what “moves consumers” emotionally when they purchase an automobile.

Here are 5 trends on how the automobile industry is evolving to meet changing consumer behavior and expectations.

Customer experience and behavior trends in automotive industry triggered by digital transformation

1. Automobile buying experience shifting from physical to digital

The traditional model of car buying experience involved physical visits to the car dealerships to know about the cars and their features before deciding to purchase one. However, two disruptions in recent years have somewhat changed the entire complexion of this car buying experience.

The first major disruption was the emergence of the mobile-first generation with the purchasing power who value experience over possessions. And the second disruption was caused by the pandemic which forever changed the way a few industries and their customers operate and behave. The pandemic prevented customers from visiting the commercial premises and the dealerships too started closing to prevent the virus from spreading. These two disruptions, on top of the arrival of technologies such as AR/VR, 360-degree views, and standardizations in other areas, have made Digital possible in the car buying space and accelerated the digital transformation.

[su_youtube url=”https://youtu.be/kt3e-90JTQ4″]

In one of their insights, McKinsey validates the importance of car dealers having a digital presence for their customers. The report suggests the purchase intent of customers mainly using digital channels dropped by only 2 percent while for offline buying journeys the purchase intent dropped by 8 percent post-pandemic. As digital is becoming increasingly important in the automotive buying experience, those brands that dive in and create brand affinity through experience on the digital channel are reaping the benefits.

[su_spacer size=”10″]

[su_spacer size=”10″]

2. Auto manufacturers and OEMs must adopt a retail approach for digital-savvy customers

Leading e-commerce brands not only changed the retail industry forever, but they also trained consumer minds to expect a retail service in every other industry, the automotive industry included. The abundance of information and availability of data along with the latest technology made it possible for modern consumers to do thorough research and compare the products themselves, replacing the need for in-person discussions.

The post-pandemic era saw more and more consumers choosing a digital-first approach for many touchpoints of their buying journey. In this approach, the customers are demanding online platforms that enable accurate product searches and comparisons which in turn enables them to finalize buying decisions online.

It may be noted that so far very few auto manufacturers like Tesla and Mercedes Benz have adopted a direct-to-consumer e-commerce approach. This is a unique opportunity for auto manufacturers to create a competitive advantage by positioning themselves as digital innovators.

Tesla online purchase experience

3. Seamless customer experience journey management with digital adoption

Customers now have the privilege to enjoy the benefits of a connected vehicle making it safer to drive and less stressful. This increased connectivity not only improves the overall driving experience, but also enables the vehicle to generate and process a large amount of customer data for a more seamless experience.

However, there are still some areas of improvement in handling such a large amount of customer data by the dealerships and OEMs. Since most of the dealers still rely on physical processes in the customer journey, it invites greater chances of human error in data handling. With proper digital systems in place, making the jump from physical to digital will eradicate such minor issues leading to better management of customer journeys. Once you assess the viability of digital transformation in your organization and adopt the way, it opens up a world of opportunities for you. Adopting a digital approach minimizes errors, makes your team more agile and responds better and faster to clients’ requirements. As a result, it improves customer experience operationally as well.

Mercedes-Benz was looking for a solution to better serve its customers in Brazil, which has the second-largest plant followed by Germany. They invested in a Microsoft Azure cloud solution coupled with Power BI and Cortana Intelligence to map their sales processes, and analyze decades worth of data like license plate records, macroeconomic indicators, regulations, sales information, and statistics by each region of the country. Through this change in data analysis and interpretation model, Mercedes-Benz was able to:

  • Provide 180 service locations around Brazil with consistent, actionable information to ensure each location could provide accurate proposals to their clients.
  • Assist sales reps to engage with consumers proactively before a need is even expressed with the help of predictive analysis.
  • Support employees in engaging and serving customers better, and in improving overall customer experience and satisfaction.

Connected car generates vast customer data from multiple touchpoints

Digitization enables manufacturers to identify additional customer touchpoints to make them understand the customer better. They can now better understand what motivates customers to defect to other brands before it happens and find resolutions for these issues.

4. Possession or ride experience – changing preferences

According to a survey of 7000 people by Accenture, 48% of respondents said they would consider giving up car ownership in favor of using autonomous mobility solutions. Another research by PwC suggests that by 2030, more than 1 in 3 kilometers driven would involve sharing concepts. These researches point to a shift in the attitude of car owners from possession to ride experience. Personal mode of transportation is being avoided by the younger generation in favor of mobility solutions like ride-sharing, subscription models, or even rental services.

This changing scenario is forcing manufacturers and dealerships to find new ways to keep their customers satisfied and loyal to them. One such example would be Porsche launching its ‘Porsche Passport’ service back in late 2017. According to this service, Porsche customers could pay a fixed fee per month in return to use up to 22 different cars based on their needs or desires. The idea was to offer greater flexibility to customers in terms of options to switch along with insurance, maintenance, and roadside assistance. The whole idea underscored the need to cater to consumer experience rather than ownership.

Porsche car membership for customers

5. Increased focus on both purchase and service experience

As mentioned previously, digitization offers auto manufacturers and OEMs a larger pool of actionable customer data. Companies can collect and connect millions of such touchpoints from call centers, surveys, dealer management systems, and communications to visualize each customer journey. The companies can now use this visual map to better monitor and action planning of each customer’s journey experience by appointing “journey owners”. Thanks to technology, dealerships can offer IoT based servicing and car care to their customers.

A survey by McKinsey & Company shows almost 50 percent of customers believe a better service experience is more influential than the actual purchase experience in the customer journey.

McKinsey customer experience vs service experience survey

As millennials are increasingly becoming the foremost segment in car ownership, it is becoming more difficult for dealerships to attract them with the traditional approach. This customer segment is accustomed to instant gratification in the digital space and hence very time-intensive. Dealerships who cater to these specific requirements from the millennials along with their other services will increase conversions and thereby increase revenues.

Digital Transformation is building a case for CASE to improve CX in the automotive industry

The automotive industry is in a state of continuous disruptive transition. Newer technologies like AI, ML, AR, Big Data are influencing the customer experiences more and more with each passing day. Dealerships are using eCommerce as an option to improve customer experiences or sell their products be it vehicles, automobile parts, or even accessories. For example, we can see how Tesla has included artificial intelligence, solar panels & electric vehicles in its portfolio.

Customers are now experiencing newer vehicle capabilities and changing behavior according to newer realities and increased convenience. This led to the industry aggressively shifting gears and setting forward on an ambitious new course: “CASE”— the push for more Connected, Autonomous, Shared, Electric vehicles, and mobility solutions.

Connected

A fully connected car relies on three pillars of connectivity – infotainment, infrastructure, and telematics.

In today’s digital age and mobile-first generation, customers are expecting similar seamless experiences everywhere. The same expectations are there from newer vehicles in the market. These expectations include everything from high-quality infotainment systems for passengers to assisted driving and parking with payment from the dashboard.

People can now watch movies, use Google Maps, listen to music with Bluetooth connectivity, and more thanks to connectivity capabilities like Bluetooth and Wi-Fi. Smart vehicles detect drivers’ sleepiness, and the galvanic skin-response sensors can give a metric for stress to warn the driver and avoid any harmful accidents. On the outside of the car, radar, cameras, and laser scanners can “read” the road and then respond. All the above features and more come preloaded or customized based on the demands of the consumer.

Automotive telematics assesses the driver’s behaviors from timely insurance payments to driving routes. It also can be used to optimize the fleets in a car-sharing model. Automobile manufacturers have released their own telematics apps that connect with their selected cars. Honda Connect lets your car get connected with Amazon’s Alexa provides over 32 ingenious features for the safety and convenience of the riders. Similarly, Suzuki Connect lets you connect with the car and offers dynamic attributes such as 24X7 roadside assistance, driving analytics reports, functional alerts, live vehicle tracking, and many more.

Autonomous

The vehicles are being manufactured with the increased ability to safely operate with less and eventually no input from the driver. With no driver, the autonomous vehicle experience is all about making an impactful product design. The driving pattern of automated cars can be algorithmically optimized, increasing the capacity on any highway.

Although with autonomy comes the fear of the unknown and being out of control. It is our innate human nature to be in control of things to feel calm. So here is an opportunity for automakers to make it a much more fulfilling experience for customers via the following:

1. The rider of an autonomous vehicle is quite likely to experience anxieties arising from loss of control. It presents a huge opportunity for CX to help calm the rider by providing several inputs and communications.

2. From a servicing perspective, the car can book a servicing appointment and drive itself to the service station at the scheduled time and return after servicing.

3. The rider can use their mobile to summon the vehicle when required.

[su_note note_color=”#e6e6e3″ text_color=”#2f312f” radius=”4″]All autonomous vehicles in near future will require a human-machine interface (HMI) to communicate with the driver as well as the pedestrians. The features of this HMI interface include – Haptic controls with embedded touch controls, a touch screen with possible haptic feedback, gesture control with visual feedback, and voice control and feedback. These cars could not only understand, inform, and ensure passenger safety but also entertain passengers.[/su_note]

[su_spacer size=”5″]

4. Speech recognition (Voice to Text) to tell the car your destination, temperature control, music choice, etc. The autonomous vehicle would store these preferences and recreate via voice detection/face detection of the customer.

Increased acceptance of autonomous vehicles presents a unique opportunity for ambitious automotive companies to break away from the clutter with an increased focus on optimal customer service as a point of differentiation. They need to develop new business models that cater to field services of these autonomous vehicles by offering after-sales customer support and maintenance “in the field”.

[su_note note_color=”#e6e6e3″ text_color=”#2f312f” radius=”4″]Autonomous vehicles however present a big dilemma in front of the insurance industry and could prove to be a big disruptor in the future. If the driver is taken out of the question, who does the risk shift to in case of an accident? Who will be liable for the payment of the insurance? As of now the OEMs and manufacturers are taking the heat as we see Tesla being charged with many lawsuits for its driverless vehicle accidents. But with time, the vehicles will be safer which in turn brings down the risk and then will bring down the insurance amount – making a huge dent in the insurance industry. There is also the case of reimagining traffic management by regulating autonomous and self-driven vehicles.[/su_note]

[su_spacer size=”5″]

Shared

In major markets like the US, the ownership of vehicles per household is almost double the number of households which leads to vehicles sitting idly for a large portion of each day. To lessen this implication, the mobility industry is rapidly deploying new forms of car ownership models – carsharing, ridesharing, and ride-hailing services, to the customers. Combining ride sharing and car sharing could take every passenger to a destination with nearly 80% fewer cars in metro cities.

The negative implications of newer forms of car ownership models are seen in declining sales figures for automotive companies. The automotive companies now not only have to battle against each other for market share but well-funded car-sharing technology companies as well. To tackle this situation the automotive companies are now starting their ride-sharing or shared leasing systems with the help of capable technology partners.

The benefits of these new car ownership models are seen around us. Fewer cars mean a lower cost of building and maintaining the roads. Also less noise pollution, less environmental damage. This is one of the main reasons most Governments are pushing for completely having electric vehicles on the road.

Electrification

Disruptive OEMs and startups are expanding the capabilities of a vehicle and demonstrating compelling options for the end consumer. Add this to the rising global energy costs, resource scarcity, global climate change, and increased government incentives/regulations leading to the invention of green energy and environment-friendly vehicles.

Electric vehicles are perfect examples of sustainable mobility solutions that will revolutionize the automotive industry soon. The need of the hour for existing manufacturers is to support new software-based architectures capable of driving needed chemistry efficiencies.

Initially, the adoption of EVs was slow among customers. But with each iteration, electric vehicles are becoming more and more cost-efficient with increased access to charging stations everywhere.

[su_note note_color=”#e6e6e3″ text_color=”#2f312f” radius=”4″]However, all is not well for the future of Electric Vehicles or EVs if proper measures aren’t taken now. One such would be making a proper scrappage policy. The rise of EVs on the road would lead to scrapping a lot of polluting vehicles. Also, the batteries of the EVs need to be scrapped properly. A standard battery has a life of 4 years. We can expect massive battery junk to pile up if a disposal strategy isn’t in place.[/su_note]

[su_spacer size=”5″]

Hitachi’s new compact, lightweight direct-drive system combines the motor, inverter, and brake into a single unit and installs the entire system into the wheel. This EV claims to reduce the energy loss by 30% and increase the single charge range of the vehicle.

[su_youtube url=”https://youtu.be/mnuQI83idEc”]

Key stakeholders of digital transformation in the automobile industry

Customer

Sam Walton, Founder of Walmart, once famously said, ”There is only one boss. The customer.”

The center of any digital transformation for any industry is the customer. Everything done by the automaker is intended to provide a seamless, delightful customer experience. Online car purchases without a single visit to dealerships, safer cars with driverless assistants, sensors, radars, and cameras are some positives for customers. HMI is being used more and more to operate vehicles. Smart virtual assistants take care of activities such as taking a call, sending a message, playing a track, and rerouting while the driver can focus on driving down the road.

Auto manufacturers and Distributors

Auto manufacturers now are looking towards technologies and software capabilities like IoT, connectivity, autonomous, 3D printing while designing a car. Software competencies are increasingly becoming a key differentiating factor for providing ADAS – Advanced Driver Assistance System.

Huge car manufacturers are partnering with Google, Tesla, or Apple for in-car infotainment systems and car connectivity with customers’ smartphones. Manufacturers are using data collection methods and analytics to make various decisions during the lifecycle of the vehicle. They can also predict the car inventory replacement cycles and new sales thanks to digital transformation.

What are the key takeaways from the trends discussed?

The sales of automobiles were at an all-time low in recent years due to many reasons – the pandemic and chip shortages among major reasons. This led to manufacturers finding new ways to connect and retain their customers. Manufacturers are now exploring going direct in addition to going via dealers to establish a connection with their customers.

The pandemic was a boon in disguise for the physical to the digital movement of products and services. The increased acceptance and affinity towards contactless services opened the doors to a complete digital customer journey in the automotive industry. The dealerships are moving on from pull marketing strategies to push marketing strategies. The focus is not much on bringing customers to the dealership and building relations but to showcase the product and stand out among the competing products.

Autonomous cars have become a reality and it created a few more avenues for automakers to provide a seamless customer experience. Electric Vehicles are becoming the new normal in the automotive industry and we can now see many manufacturers and even governments promoting the usage of EVs.

There is a clear indication of buyers, especially millennial buyers, inclining more towards vehicle riding experience rather than possession. They are ready to give up their car ownership in favor of convenient mobility solutions that fulfill their needs of transporting from one location to another.

These new trends and other disruptions mean automakers and dealerships are now focusing more than ever on delivering the perfect customer experience.

How automakers are delivering perfect customer experience

Customer experience is primarily about establishing an emotional connection with the client. We can dissect customer experience at the brand level and product level. Automotive manufacturers and OEMs can establish an emotional connection with their customers at both brand and product levels. Let’s discuss these two in detail.

Brand level connection

The human brain is divided into two halves, one part is emotional while the other part is rational. A brand-level connection with the customer would require engaging with both these parts and evoking a response. All the branding and marketing efforts from the automakers and dealerships focus on either of these two halves to position themselves in the minds of their consumers.

Typically the brand connection can further be subcategorized into – Sentimental connection and Rational connection.

i) Sentimental connection

A strong emotional connection gives an extra advantage over your competition. More often than not customers are swayed by their emotions when making a purchase. Automakers run campaigns that try to evoke a response from the consumer.

[su_quote cite=”The New Science of Customer Emotions, Nov 2015, Harvard Business Review” url=”https://hbr.org/2015/11/the-new-science-of-customer-emotions”]“The advent of big data analytics brings clarity, discipline, and rigor to companies’ long-held desire to connect with the customer emotions that truly matter.”[/su_quote]

In the middle of 2021, Lamborghini ran a campaign with the tagline “It takes time to become timeless.” Here the intention of the automaker was to position themselves as someone who had been there forever for the consumers irrespective of time, and situation. The goal is to free Lamborghini designs to any new automobile design trends and separate itself from the competition as one of its kind.

Lamborghini Timeless campaign

Not everyone likes a drastic change to an old hit – be it music, a motorcycle, or a car. Lamborghini banked on that human emotion towards finding similarities to drive their campaign.

Similarly, there are other examples of automakers targeting particular sentiments of consumers to run their campaigns.

Ferrari never talks about luxury or driving as its customer segment only cares about sports cars. Hence, Ferrari takes extra care in hugely popular F1 grand prix and other such racing tournaments to promote its brand.

Ferrari drivers after Grand prix win

BMW collects goodwill by taking calculated measures to become a fully sustainable company in the future. It has firmly embedded ecological and social sustainability along with the entire value chain into its strategies. Environment-friendly and sustainable approaches are what drive the corporate strategies of BMW – be it cutting CO2 emissions and recycling to expanding hydrogen technologies.

BMW environment conscious image

People like to associate themselves with something good. And when you drive a BMW, you are bound to feel better knowing you are contributing something good for the environment.

ii) Rational connection

Unlike purchasing groceries, buying a car isn’t a decision made in a matter of seconds. It may come down to a final standoff between two or three options and the consumer may make the decision based on emotional parameters. But the period between recognition of the need to buy a car and the actual purchase may run into many weeks or even months. During the whole period, consumers will assign certain values to different parameters involved in purchasing the car. It is up to the automakers to keep persuading their consumers with the right message at each decision-making journey so that the consumer continues to keep them in consideration.

“What I try to impress on people is that the rational brain is not good at being rational, but instead is good at simply rationalizing what the emotional brain has already decided to do, and this happens non-consciously. You need to know how to structure decisions so that, when the context demands it, you can minimize the role of emotion. The easiest way to do this is distill whatever variables you can to numbers.”

~ Baba Shiv, Professor of Marketing at Stanford GSB

Along with the features of the vehicle, several rational parameters come into play when forming a buying decision. Some of these are value for money, a better resale value, access to service centers in proximity, higher quality, and reliability of the material and engines, low cost of spares, and a lower total cost of ownership. These parameters may not affect the buying decision much when it comes to luxury cars. But the luxury car segment only covers about 20% of all vehicle sales in the US. The remaining 80% is still going to consider the above factors.

In price-sensitive markets like India, where consumers seek great value and prioritize rational parameters, brands such as Maruti and Hero do well. This is the reason Maruti and Hero MotoCorp are market leaders with a market share of 48% and 37% respectively. Both these vehicles have lower costs of ownership, better sale value, lower costs of spares, and easily available service centers.

Product level connection

The brand-level connection ensures the consumer has your attention, but you still have to deliver a perfect vehicle of their choice to them. The automakers and OEMs need to create a fascination with the product in the minds of the consumer.

In the earlier days, buyers would look for design, mileage, material, and comfort in their vehicle. But thanks to continuous innovations and changing customer expectations, vehicles are now equipped with much more hi-tech features which make a difference.

Features such as infotainment, voice-activated facilities, autonomous parking assistant, wireless charging, proactive servicing, and parts replacement, roadside assistance, looks, mileage, comfort and convenience, cockpit, charging stations play a major role in helping customers choose their ideal vehicle.

Delivering a superior overall purchase experience has become first and foremost priority for automakers.

Consumers constantly search for review videos on YouTube and get a 360-degree view of the vehicles they desire to own. This process goes on for weeks to months, collecting all possible information from the automaker website to third-party websites. If a consumer has his priorities set and is well researched, it is more likely he will purchase the vehicle after just one test ride. So it becomes imperative for the dealerships to present all required information easily to their consumers through various sources and assist them well in their purchase journey.

Establishing a product-level connection also includes delivering a superior service experience.

Some of the ways automakers and OEMs can ensure superior service are mentioned below:

(i) Proactive reminders to the customer for servicing and parts replacement.

(ii) Digital appointment setting with the service centers and dealers.

(iii) Automated fault detection in the car.

(iv) Auto estimate preparation for the service entailed.

(v) Auto payments for the services to the dealerships and service centers.

(vi) Autonomous cars driving to service stations and back without interference from the customer.

Key benefits of digital transformation for manufacturers and OEMs

1. Improved campaign effectiveness

“The secret to developing personalized campaigns that will reach the right customers in the right moments is data. In the digital age in which we live, we must live and breathe data.”
~ Shashi Seth, Sr. Vice President of Oracle Marketing Cloud

The biggest advantage of increased customer touchpoints and a multitude of data is the number of accurate information companies could get about the customer. They can now leverage the power of technology and advanced software tools to run personalized and targeted advertisements. It gives the capability to adjust the messaging to individual customers for increased engagements during a campaign.

2. Build customer satisfaction

Manufacturers and OEMs can reduce the overall transaction time using customer insights to connect and extend key business processes. Digital transformation gives an opportunity to provide an enterprise-class, comprehensive, cross-channel solution for managing the complete loyalty life cycle of the customers. Dealerships can now track, reward, and recognize customer behavior in every aspect. This includes tracking and analyzing repeat purchases of products, referrals, social activities, and business with loyalty partners.

3. Increase prospect generation

Running personalized targeted campaigns ensures proper incentives are offered to customers who demonstrate a higher willingness to purchase specific products. It also helps in delivering adaptive, intelligent recommendations through optimized analytics and algorithms.

4. Achieve the coveted 360-degree view of the customer

Digital transformation with proper partners ensures you have single cloud analytics and data platform. It helps you visualize a single, consolidated view of the customer through their entire lifecycle journey. You can now reap maximum benefits after providing the best experiences to your customers.

Look beyond the horizon

The digital transformation in the automotive industry is bringing some big changes for automakers worldwide. It opens up a vast level playing field for all the automotive players. The industry incumbents need to come out of their comfort zones and match stride for stride with technology to succeed. The automakers need to better understand the customer experience demands of their new-gen mobility customers so that they can be provided with new value opportunities.

Read More
Digital Transformation

The ripple effect of hyperconnectivity: accelerating DX

How many connected devices do you own? Chances are, even accounting for smart speakers or smartwatches, the number may be in the region of 4 or 5. However, by 2030 it is believed that each human will have more than 20 connected devices, thanks to hyperconnectivity. The effects it will trigger points to a world where everyone and every ‘thing’ will be connected, intelligent, and talking to each other.

The term hyperconnectivity has been used for many years in the context of interconnected devices or merely being ‘always online’. In the near future, it will take on an altogether different meaning. 5G mobile networks, the Internet of Things, and big data will trigger an explosion of smart cities, homes, and workplaces. In turn, these will result in millions of connected devices, smooth data flows, and networks. This never before convergence will give a boost to not just the adoption of digital experience (DX) across enterprises but the nature and scope of such.

DX beyond mobile apps & websites

Today, DX still largely refers to the nature of customer interaction on websites, mobile apps, and such. Undoubtedly these have simplified our lives. For example, a few airports have offered self-check-in kiosks and automated boarding through facial recognition for some time now. Native apps of airlines such as United are more accessible to people with visual disabilities.

But over the last few years, especially in the post-COVID world, forward-thinking enterprises have re-oriented themselves to adopt business processes that have digital at the core, in order to improve the performance in an integrated fashion. A bank may employ Artificial Intelligence to assess the credit risk of consumers and make personalize offerings or communication. At an airport, inter-connected processes such as automated identity-screening and deployment of the Internet of Things can ease the customer experience beyond just a well-designed mobile app. These can help in airport navigation, tracking checked luggage, and smart retail operations.

The key aspects of our hyperconnected world which will impact the way enterprises design their services and accelerate the growth of DX will be: 5G-powered applications, Cloud, E-commerce, Artificial Intelligence, and Cybersecurity. We have already seen how e-commerce has re-shaped post the COVID-19 pandemic. Aside from essentials such as groceries & pharmaceuticals many industries have adapted to re-wire their business for the remote world. They have understood the core emotions of the customer and offer reassurance of hygiene practices, virtual tryouts, and no-touch delivery. Video streaming, which was only associated with media & entertainment is now part of retail therapy too.

Connected Living and its impact

Machine Learning and AI have already begun to play a role in crafting digital experiences across industries. In the hyperconnected world, such technologies along with conversational computing and asset tracking will have a far-reaching impact. In many business value chains, logistics plays a critical role. Tracking of assets such as a package to determine which truck, vessel, or location it is in, will deliver efficiencies and peace of mind. Where needed, sensors can detect vital information such as temperature (in a cold chain) or other key parameters and keep the various stakeholders informed.  Such technologies can also help in creating customer delight: over time, the system can evolve to offer predictive logistics and get into pre-emptive shipment mode. If a customer orders a shaving kit on a regular basis, imagine the delight when an order arrives within minutes of placing it, instead of days – as the system would have pre-empted the order. Over the last few years, we would have read about smart refrigerators that ‘detect’ what needs to be ordered and so on. Such concepts need not be fantasy anymore as smart devices and logistics can make these a reality. Warehouses, fulfillment centers, and the entire value can get more efficient thanks to the ripple effects of hyperconnectivity.

The two places where we spend most of our time – home and work will transform beyond recognition. According to Frost & Sullivan, ‘the future home will become a ‘central hub’ for connected living’. Apple Watch is already powering Apple Fitness+, a service that then needs an Apple device to stream your personalized workouts. On-demand workspaces, entertainment centers, and Telehealth centers are also likely to emerge at home. The post-COVID world has also seen a demand for contactless biometrics and security technologies. All of these will get more personalized as data analytics, AI, augmented and virtual reality (AR/VR) and advanced computing come into play.

A hybrid work structure is likely to be a reality in the near future. The result? The need for digital, automated workflows (which eliminate manual, repetitive tasks) will rise leading to more productivity and employees with a sense of accomplishment. The pressure on government services to make the most of hyperconnectivity and create smart cities also offers opportunities for enterprises. Monitoring of physical structures such as bridges, friction-free citizen services, safe public places, connected cars, smart supply of essentials such as water & electricity have all critical digital components which need a combination of strategy, design, engineering, and analytics.

The possibilities of a hyperconnected future are limitless. It would mean immersive, personalized experiences for customers across shopping, Telehealth, gaming, and real-time collaboration. The explosion of data in the hyperconnected digital enterprise has implications in security too. But the positives of a connected ecosystem lie in making our lives simpler and better.

Read More
Digital Transformation

How to craft SuperApps, role of microservices in the experience economy and more: top 5 reads from our blog in 2020

Towards the end of last year, no one would have been able to predict how 2020 would fundamentally alter our lives. In the first quarter of this year itself change was forced upon us in the form of widespread lockdowns. This triggered a host of behavioral changes across the world, on a never-before scale. People became more conscious of health, learnt to adapt to new ways of living and working from home. Digital experiences played a crucial role in enabling such a lifestyle and behavioural changes. At Robosoft, we partnered with several enterprises in crafting products that made the everyday life of millions of consumers just a little bit easier – streaming services that brought entertainment, sports, and infotainment to mobile devices or utilities which made us more productive and enriched our lives. We have attempted to share our views on broad trends shaping these changes in digital experiences. Here are five of our top blog posts from 2020:

The Superpower of Super Apps and How to Create One

Apps that can help consumers accomplish a multitude of tasks – also known as Super Apps, were popular even prior to the COVID-19 outbreak especially in South and Southeast Asia. Such apps saw a widespread uptake in 2020 as they help consumers in many ways: providing convenience and simplicity, a unified and personalised user experience and more. In this article, our CEO, Ravi Teja Bommireddipalli outlines why Super Apps can help enterprises and shares key points to consider while building such experiences.

What Does it Take to Create Products That Consumers Love?

The world is increasingly dependent on digital products and platforms to accomplish many of their daily chores and needs. Hailing a cab, transferring funds to someone, consulting a doctor or shopping often involves a digital experience. In this context, the relevance and value of great product managers is critical. A product manager dons several hats: that of a CEO, fire-fighter or orchestra conductor depending on the product lifecycle and project needs. In this article, Syed Abbas our Principal Digital Consultant shares perspectives on what it takes to create products consumers love.  In this article, he writes about the key attributes of a product manager and the steps involved in creating a product road map.

Microservices and Digital Enterprises in the Experience Economy

The world has seen the agrarian, industrial, and services economies. We are currently in the experience economy, a term first coined in 1998.  In the experience economy, customers are expected to have two types of experiences: customer participation and connection. Microservices – an approach to developing a single application as a collection of small services is critical in the experience economy. In this article, our Rajeev Rajagopal outlines the differences between traditional software products and modern application. He also writes about the key components & benefits of the microservices architecture.

OTT Video in Retail: The Coming Revolution

The rise of audio and video streaming services during the lockdown period was natural and has been well documented. But beyond media & entertainment, there is tremendous scope for OTT services to be adopted by other industries such as retail, among others argues our Jay Shah, in this article. It is a new format of the familiar home shopping networks on TV and offers the best of both worlds in terms of showcasing the product and in-store experience.

The coming glut of online delivery apps:  takeaways to deliver the competitive edge in UX

While we may switch back to older ways of worry-free travel and in-store shopping sometime in the future, some of our behaviors have been fundamentally altered in 2020. Our preference for contactless delivery has been a key development that may change the business proposition of many an industry beyond just food delivery. The value proposition of brands may be similar in many cases and hence great user experience will be a competitive edge opines our Srinidhi Rao, in this article. Now more than ever, customers would appreciate any simplified process. So any experience which goes a long way in reducing friction or making life easy – ordering through voice-enabled speakers, messenger platforms, or a smartwatch, enabling a virtual trial of a dress re-order previously ordered medicines, or renewing a subscription service would be welcome he opines.

We hope you enjoyed our collection of top reads from 2020. As we step into the new year, we look forward to even more exciting opportunities to simplify lives of consumers.

Read More
1 2