Static 'best before' dates are a costly hedge, forcing waste when products are fine and risking quality when they are not. A dynamic model automates this by ingesting real-time IoT sensor data (temperature, humidity), transit logs, and initial quality scores for each pallet or SKU. This continuous evaluation, powered by a predictive model, calculates a precise remaining shelf-life, enabling intelligent FEFO routing in the warehouse and optimizing sell-through before spoilage, directly protecting margin.




