The challenge
A leading retail enterprise had business units building isolated ML models for demand forecasting, propensity, stockout prediction and churn. Redundant workloads, inconsistent feature definitions and fragmented deployment pipelines took weeks per model, with no cross-unit governance and growing regulatory exposure as the business expanded into stricter jurisdictions.
What we did
Built a unified platform standardising governance and operations across business units, centralising model access behind a governed gateway without slowing team productivity.
The outcome
Unified ML operations across business units, reduced model deployment time, established continuous compliance through governed pipelines, and enabled measurable ROI through reusable AI components and workflows.
Unified fragmented, business-unit ML operations into one governed platform with faster deployment and continuous compliance.
A shared gateway and feature layer replaced bespoke per-unit pipelines, with Unity Catalog governance and reusable components cutting weeks of duplicated engineering per model to a governed, repeatable process.