Perishable goods like fruits, vegetables, and dairy require precise inventory planning. Overstock leads to wastage, while understock results in empty shelves and lost sales.
solution
Our Solution
We built an AI shelf-life forecasting system that predicts demand for perishable goods, recommends stock levels, and automates markdowns for items nearing expiry.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Collect sales + expiry data across SKUs.
Step 2
Factor in weather, holidays, and regional demand shifts.
Step 3
Run time-series forecasting + perishability models.
Step 4
Automate replenishment and markdowns at store level.
Quantifiable Benefits
Reduction in food wastage
%
Fewer stockouts on perishable items
0%
Cost savings in inventory holding
%
Higher freshness scores & customer satisfaction
0%
Who’s Using This
Large supermarkets (Tesco, Walmart)
Online grocery players with cold-chain operations
Food retailers managing short shelf-life products
Why It Matters
Optimized perishable management reduces waste, ensures availability, and contributes to both sustainability and profitability.
case studies
Real Results. Real Impact.
See how these use cases helped industry leaders transform operations with AI & XR.