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By tailoring every digital touchpoint to local expectations, from user behavior to mobile-first preferences, Jaguar Land Rover created an intuitive, streamlined online journey that resonated with Japanese customers.

This case study explores how collaboration, customization, and cultural insight powered JLR’s success in one of the world’s most demanding automotive markets.

For JLR, automating the data dispatch to CarSensor was an important step for streamlining their operations in Japan. 

JLR needed to maintain accurate and up-to-date listings. Automating this process allowed the automotive manufacturer to reduce manual work, minimize errors, and ensure that its vehicle data was consistently accurate across all platforms.

For the automotive industry, the agency model has transformed the way stock management and sales processes function. 

As the agency model grows more commonplace, centralized stock management becomes more critical. 

Launching a project successfully involves more than just planning—it’s about executing each phase with precision.

Learn about the key stages of a successful project launch; best practices for team collaboration and clear communication; how to anticipate and avoid common pitfalls.

Car dealerships have long utilized Google to reach potential customers, and now, the latest addition to their toolkit is Google Vehicle Ads.

Currently available in the US, Canada, UK, Denmark, France, Germany, and Australia, this feature is expected to arrive in India soon.

Learn about its benefits, limitations, and potential impact on the industry.

We trained AI to learn to play the game in two weeks. At first, it struggled with countless mistakes and couldn’t even finish. But after persistent training, it finally succeeded, setting an impressive time of 1:22.9!

Learn more about the process - watch a video!

And, of course, play the game.

Learn how MLOps automates and enhances machine learning workflows, ensuring scalability, collaboration, and continuous improvement.

With real-world examples from Amazon and Airbnb, see how integrating DevOps principles with ML can revolutionize AI projects.

In the global automotive industry, one size does not fit all.

Each market has unique requirements, preferences, and regulations that must be addressed to deliver an optimal customer experience. This necessitates smart customization in automotive digital solutions to enable companies to cater to diverse market needs effectively. 

Our team visited 32 websites and showrooms of different automotive brands, gaining invaluable insights. This hands-on approach revealed key areas for improvement and reinforced our commitment to innovation and empathy.

Discover how this experience is transforming our approach to digital car sales and why it’s crucial for the future.