Data Science
Reducing Food Waste by 18%
Client: Multi-Location Cafe Chain
The Challenge
A rapidly growing cafe chain was struggling with inconsistent inventory management across 15 locations, leading to significant perishable waste and lost revenue.
The Solution
We developed a custom machine learning model that integrates with their POS and supply chain data. The system generates daily 'Smart Orders' based on seasonal trends, local events, and historical demand.
Impact & Outcomes
18% overall reduction in food waste within 6 months.
94% forecast accuracy on core perishable items.
12% improvement in net margin due to optimized purchasing.