Joaquin Villalba

Nextail provides AI-powered retail merchandising and inventory optimisation software that helps fashion and apparel retailers manage stock allocation, transfer, and replenishment decisions across omnichannel networks using demand forecasting models and optimisation algorithms. The Madrid company focuses on the specific challenge of fashion retail, where short product lifecycles, large SKU proliferation, and seasonal demand patterns make traditional rule-based inventory management ineffective.\n\nThe company raised approximately $17 million in venture funding from investors including Target Global and JME Venture Capital. Nextail counts mid-market and premium fashion retailers across Europe and the Americas among its clients, deploying its platform to optimise inventory allocation decisions at the store, region, and channel level. The platform integrates with retail ERP and point-of-sale systems to consume transaction data and produce daily allocation and transfer recommendations that buyers and merchandisers execute through their existing workflows.\n\nNextail competes in the AI retail optimisation market against Blue Yonder, o9 Solutions, and RELEX Solutions, which address broader supply chain planning, as well as specialist fashion AI vendors including Heuritech and Impact Analytics. Fashion retail AI presents distinct modelling challenges compared to grocery or general merchandise optimisation because fashion demand is trend-driven and non-repeating, requiring models that can forecast demand for products with no sales history. The company focus on the fashion vertical gives it concentrated domain expertise in a segment where generic supply chain optimisation tools frequently underperform.