Intelligent Demand Forecasting for Multi-Location Retail
The Challenge
Inconsistent stock levels across 12 locations were causing €320k in annual waste from overstocking and €95k in lost sales from stockouts.
Our Solution
Developed a machine learning demand forecasting system integrating POS data, seasonal patterns, local events, and supplier lead times to optimise inventory across all locations.
Results
41%
Waste Reduction
Overstock waste decreased by 41% through accurate demand prediction at the location level.
73%
Stockout Reduction
Lost sales from stockouts dropped by 73%, recovering significant previously missed revenue.
+28%
Inventory Efficiency
Overall inventory turnover improved by 28%, freeing working capital across the business.
Strategic Impact
The forecasting system became the foundation for a broader data strategy, informing location expansion decisions and supplier negotiations with unprecedented precision.
“For the first time, we're making inventory decisions based on intelligence rather than instinct.”