Case Study: Inchcape, the £8.1B global auto distributor, achieves 50% faster model launches and 75% faster pricing decisions with DataRobot

Models Launched 50% Faster at £8.1B Global Auto Distributor

Inchcape, a £8.1B global, multi-brand automotive distributor operating in 40+ countries, needed to build a centralized analytics capability that could rapidly experiment, identify high-value models, and scale them across roughly 200 business units. To achieve a single platform for end-to-end model development, deployment, and monitoring, Inchcape deployed DataRobot (including AI Foundation and Predictive AI) to accelerate experimentation and manage the entire AI lifecycle.

DataRobot provided an automated, full-lifecycle AI platform that connects to Inchcape’s Azure/Databricks/GCP stack, enabling fast proofs of concept, repeatable model templates, and production monitoring. The company now creates, tests, and deploys models 50% faster, identifies optimal pricing across thousands of SKUs about 75% faster (pricing use cases cut from ~16 weeks to 3–4 weeks), runs 100+ models in production, grew the analytics team from 5 to 230, and achieved measurable business impacts such as double-digit uplifts in workshop attendance—results driven by DataRobot.

Inchcape

Ram Thilak

Group Head, Data Science & AI