£340K Annual Waste Eliminated Across 12 Locations

The Challenge

The retailer was ordering stock based on gut feel and last year's numbers. Seasonal lines were regularly over-ordered, markdown rates were climbing, and popular sizes sold out while others gathered dust. The buying team had no real-time view of what was actually selling where.

• Stock decisions based on intuition, not data
• 35% of seasonal stock ending up on clearance
• No visibility into real-time sales by size or location
• Manual reordering causing consistent over- and under-stocking

What We Built

We integrated their EPOS, warehouse management, and supplier systems into one AI layer. The system now forecasts demand by store, size, and colour — and automatically generates purchase orders that adapt weekly based on actual sell-through rates.

• AI demand forecasting by location, size, and product line
• Automated purchase order generation with supplier integration
• Real-time stock allocation recommendations across stores
• Markdown risk alerts before overstock becomes a problem

Results

• £340K Waste reduction — Annual saving from smarter stock buying
• 28% Sell-through rate — Improvement on seasonal lines
• 73% Stockouts — Fewer missed sales from out-of-stock items
• 19% Markdown rate — Reduction in clearance discounting