Case Study: Inchcape halves model deployment time with DataRobot

Inchcape cuts model deployment time by 50% with DataRobot

Inchcape, a global automotive distributor with an £8.1B business, faced the challenge of rapidly building a new global analytics capability. Their newly formed team needed to find the highest-value AI models and deploy them across 200 business units, requiring a single platform to manage the entire AI lifecycle for rapid experimentation and scaling. They turned to DataRobot and its Enterprise AI platform to address this challenge.

By implementing DataRobot's full AI lifecycle solution, Inchcape automated processes and accelerated experimentation. The results were significant, with the team creating, testing, and deploying models 50% faster. A key measurable impact was on pricing optimization, where identifying the best pricing across thousands of SKUs was achieved 75% faster, reducing the process from 16 weeks to just 3-4 weeks. DataRobot enabled Inchcape to scale to over 100 production AI models, drastically cutting time to market and improving margins.

Inchcape