Static expiry dates are a blunt instrument, forcing write-offs of sellable inventory and missing spoilage risk in transit. A custom predictive freshness workflow fuses initial quality data from IoT sensors, real-time environmental conditions from telematics, and shelf-life models to generate dynamic risk scores for every lot. This enables prioritization for sale, markdown, or redistribution, directly attacking the $161B annual problem of food waste by converting perishable inventory from a liability into a managed asset with optimized margin.




