AI-driven demand forecasting and autonomous retail decision-making

WAIR is a MACH-certified, business-driven AI company that helps fashion and lifestyle retailers improve profitability through daily, SKU- and location-specific demand forecasts. Its deep-learning time-series model blends ERP data with external signals, powering Wallie, an autonomous allocation agent designed to increase full-price sell-through and margins across omnichannel retail models. WAIR also supports performance-based wholesale through VMI using shopfloor-level insights and offers Suzie, an AI agent that generates multilingual, brand-aligned product descriptions directly from images.

Within the MACH ecosystem, WAIR contributes through composable, API-first integrations, collaboration with MACH partners on joint architectures, and active participation in the emerging AI Agent ecosystem. Team members are also encouraged to engage in Women in MACH.

WAIR’s mission is to automate retail decision-making while improving profitability, supported by a team of PhD-level scientists and rooted in the experience of its founder, a fashion retailer focused on efficiency and automation.

Recent innovations include Wallie, its autonomous SKU-level allocation agent; Suzie, for AI-generated product descriptions; a deep-learning forecasting engine; API-driven allocation loops; and a cloud-native, composable architecture.

WAIR aims to disrupt the market through its expanding pooled data model, enabling highly accurate daily predictions across retailers and brands. Beyond allocation, the company is developing agents for financial and assortment planning, with the long-term goal of supporting the full buying and production cycle through continuously updated demand predictions for higher accuracy, lower risk, and greater responsiveness.