AutoScout24 scales engineering with AI-powered workflows

Rebuilding engineering for speed, scale, and complexity

AutoScout24 Group⁠(opens in a new window) is the largest pan-European and Canadian online car marketplace, connecting more than 30 million monthly users with over two million vehicle listings. Operating across multiple brands—including AutoScout24 in Europe and AutoTrader.ca in Canada—the company supports a network of 45,000 dealer partners and employs around 2,000 people globally.

As product expectations increased and system complexity grew, AutoScout24 Group faced mounting pressure to deliver faster innovation without compromising reliability. This is closely tied to the company’s goal of continuously improving how buyers search, evaluate, and purchase vehicles, and how dealers successfully market and sell their inventory. With large-scale migrations, legacy systems, and rising engineering demand, incremental improvements were no longer sufficient. The emergence of large language models presented a timely opportunity to fundamentally rethink how software is built, tested, and scaled—making OpenAI a natural partner in driving this transformation.

“AI is changing how we build, but more importantly, it’s changing what we can deliver to our users and dealer partners. Faster iterations mean better experiences for buyers and more effective ways for dealers to reach and convert customers.”

—Frederik Kraus, Chief Technology Officer, AutoScout24 Group

Inside the rollout

AutoScout24 Group implemented a dual-layer AI adoption strategy to balance broad enablement with deep technical impact. ChatGPT was rolled out across the organization, giving approximately 2,000 employees access to AI tools and establishing a strong baseline of AI literacy across functions.

“Codex has emerged as a key enabler in our engineering workflows, delivering measurable impact in productivity, quality, and speed.”

—Frederik Kraus, Chief Technology Officer, AutoScout24 Group