A new generation of AI models is transforming how retailers manage perishable goods. By combining neural networks with optimisation techniques, these systems can forecast demand more accurately and adjust prices dynamically to reduce waste while protecting margins.
The approach aims to solve one of the supermarket sector’s perennial challenges: balancing freshness, availability, and profitability. Early tests suggest that dynamic pricing tied to real-time inventory and shelf life could significantly cut waste without alienating customers.
As sustainability expectations rise, retailers see these models as crucial tools in building more responsible and efficient fresh-food operations.