Content Hub

Stay ahead in the automotive digital landscape with insights on web development,
content management, stock integration, AI-driven solutions, and more.

video testimonial

Mouad Jaafari on working with Reffine and building client-first digital experiences for JLR MENA

After nearly a decade of close collaboration, few things resonate more deeply than hearing: “We feel like one single integrated family.” “They are not simply an agency servicing Jaguar Land Rover—they are our partners in thinking client-first.”

Read full testimonial of Mouad Jaafari, Regional Digital Infrastructures Lead for Jaguar Land Rover MENA.

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How OEMs Tackle Pricing and Payment Complexities

Different tax policies, disclaimers, pricing structures, and payment gateways all converge to create a uniquely challenging landscape.

We delve into these complexities, drawing on our internal know-how and real-life experiences while exploring how flexible solutions, such as our Stock Locator, can help OEMs and dealerships effectively manage them.

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From Clicks to Cars: Global Trends in Online Automotive Purchases

The automotive industry is undergoing a digital transformation, driven not by speculation, but by solid stats.

From regional preferences and mobile usage to the growing demand for end-to-end online transactions, discover the key figures driving change in how consumers buy cars today, and what it means for OEMs and dealers worldwide.

Case Study

How Jaguar Land Rover mastered market-specific e-commerce customizations in Japan

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.

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Streamlining operations: How JLR enhanced efficiency through CarSensor automation

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.

Case Study

How JLR tripled organic traffic and increased conversions and engagement in Poland

In partnership with Inchcape and top agencies, Reffine helped JLR achieve award-worthy SEO success: tripling organic traffic, boosting leads to more than 600 SEO-driven ones monthly, and increasing engagement.

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Centralized Stock Management: the heart of automotive efficiency in the agency model

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.

stock locator

API-first integrations for streamlined inventory management

These API-driven integrations designed to optimize car sales processes, streamline lead management, and enable secure transactions across diverse markets.

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Mastering the rollout: a strategic guide to seamless project launches

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.

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Google Vehicle Ads: potential impact and key considerations for OEMs and dealers

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.

Reffine Xmas Game

How did we train AI to learn to beat our Xmas Game? Can you beat it?

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.

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MLOps and model building pipelines: navigating the new frontier of AI

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.