How AI Helps Retailers Reduce Food Waste While Improving Profitability

AI helps retailers reduce food waste by optimizing demand forecasting, automating order decisions, and improving inventory management, enabling higher margins, fewer losses, and more sustainable handling of fresh products.

Using AI to Optimize Fresh Product Inventory

Fresh products are among the most waste-prone categories in retail. AI-powered software analyzes sales patterns, seasonality, and store-specific data to recommend optimal order quantities and timing.

Automating Order Proposals and Management

By automating order proposals, AI reduces human error and overstocking. Retailers can adjust purchasing decisions in real time, aligning supply more closely with actual demand.

Reducing Waste While Protecting Margins

Limiting unsold inventory directly reduces losses. AI solutions help retailers strike the right balance between availability and scarcity, preserving revenue while minimizing discarded products.

Scaling Food Waste Reduction With Software

Founded by Mateo Beacco, Ida has developed an AI-driven solution dedicated to fresh food management. The platform shows how software can scale waste reduction across multiple retail locations.

Aligning Sustainability and Business Performance

AI proves that reducing food waste does not require sacrificing profitability. Instead, smarter data-driven decisions allow retailers to improve both environmental impact and financial performance simultaneously.