Case Study: Inchcape deploys models 50% faster across markets with DataRobot
Key results
The challenge
Inchcape, an £8.1B global automotive distributor operating across 40+ countries, needed to rapidly experiment with models to identify high-value opportunities and scale them across roughly 200 business units, while managing the full AI lifecycle through a single platform.
The solution
Inchcape used the DataRobot AI Platform for the full AI lifecycle — fast proofs of concept, quick deployment, and production monitoring — integrated via APIs with its existing Microsoft Azure, Databricks, and Google Cloud stack.
“We can test new ideas to quickly determine the value before we scale across markets. Now, DataRobot helps us deploy an end-to-end solution in a market in half the time.”
RTRam ThilakGroup Head, Data Science & AI, Inchcape
The results, in context
Inchcape deploys end-to-end solutions in a market 50% faster and identifies pricing across thousands of SKUs 75% faster. The approach let the team run more experiments before scaling models across markets.