Case Study

Retail AI Copilot

A multi-brand retailer needed to improve merchandising and support teams with real-time product, stock, and pricing insights across fragmented systems.

RetailAI and Data Platforms
Retail AI Copilot

Challenge

A multi-brand retailer needed to improve merchandising and support teams with real-time product, stock, and pricing insights across fragmented systems.

Solution

We delivered an AI copilot architecture with governed retrieval, role-based access, and MLOps guardrails integrated into existing workflows.

Outcome

The program cut average decision latency by 42% and improved campaign planning precision across commercial and operations teams.