Jason Hosking

Hivery builds AI retail category management and space optimisation software that uses machine learning to recommend which products to stock, in what quantities, and in which planogram positions to maximise sales and profitability at the individual store level across retail networks. The Sydney company applies AI to the assortment and space planning decisions that category managers make for each product category in each store, accounting for local demand patterns that differ from national average demand assumptions.\n\nThe company raised approximately $35 million in venture funding from investors including Main Sequence Ventures, Coca-Cola Europacific Partners, and Blackbird Ventures. Hivery counts major retail networks and beverage companies including Coca-Cola as clients, deploying AI-generated planogram recommendations that are translated into store-level implementation instructions for category management teams.\n\nHivery competes in the retail AI optimisation market against Blue Yonder, RELEX Solutions, and Nielsen, which provide category management and space planning tools. Its AI-first approach to store-level demand modelling, which generates individualised recommendations for each store rather than applying national average demand patterns, is the primary technical differentiator in category management software where traditional approaches aggregate demand to cluster or national levels that miss local demand variation. The Coca-Cola strategic investment reflects beverage manufacturer interest in optimising cooler and shelf space decisions at the point of sale where product visibility directly drives beverage category sales.