Retail Analytics System Case Study

Client Context

A retail franchise managing 15 brick-and-mortar storefronts with over 30,000 distinct product SKU inventory tags.

The Challenge

A regional grocery supermarket franchise lacked insights into product demand curves, resulting in over-purchasing of seasonal perishables and stockouts on staple items.

System Architecture

• 1ETL data pipeline aggregating store register transactions hourly
• 2TimescaleDB relational databases tracking historical product checkout velocities
• 3Regression demand prediction algorithms forecasting inventory constraints
• 4Dynamic in-store interactive checker maps showcasing heat maps

The Engineering Solution

We designed an analytical dashboard system processing transaction history. The platform maps seasonal sales velocities, alerts store managers to reorder triggers, and displays customer foot traffic patterns.

Results & Commercial Impact

Store managers reduced seasonal perishable waste by 22% and minimized stockout occurrences on staple goods, leading to a 4.2% increase in store net margins.