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How does a recommendation model choose which products to put in one shopper’s personal offer? The model works from similarity of behaviour rather than from customer attributes: it finds the shoppers whose baskets resemble this one, and ranks every product by how likely this particular customer is to buy it. The input is transaction data… Read More »How AI builds a personal offer for an individual shopper

How can stockouts on fresh products be avoided without increasing waste? Fresh availability and waste are controlled together by sizing each order against both forecasted demand and the time the product has left to sell, so the shelf stays stocked without buying more than will clear before its date. Fresh and other short-life categories break… Read More »Ordering fresh products for availability without waste in grocery retail

How does AI-powered planogram software improve shelf performance as assortment and demand change? The gain comes from how often a layout can be corrected, not from any single planogram: AI-powered planogram software recalculates space allocation as sales, assortment and equipment change, which is what keeps shelf performance from decaying between category resets. Retano Shelfplan derives… Read More »Shelf Performance & Out-of-Stock Prevention