Fresh-food growth is forcing retailers to choose between availability and waste less often; AI can treat shelf life, day-of-week demand and delivery timing as one planning problem.1
Convenience operators face the sharpest pressure because ultrafresh items must be available by daypart but may expire before the next cycle.2
Customer cases show why write-offs, not just sales, belong in the forecast scorecard.3
5 episodes
LEAFIO AI forecasts perishable demand around shelf life, variability, store layout, and delivery windows.
LEAFIO demonstrates AI replenishment for reducing stockouts, fresh waste, and inventory imbalance.
Baltic Petroleum uses LEAFIO AI to lift sales 62%, halve overstock and automate replenishment across 86 outlets.
Daily Supermarket uses LEAFIO AI to lift sales 23%, turnover 16%, and product availability 8%.
LEAFIO explains how shelf life, demand variability, promotions and data quality shape fresh replenishment.
