Stylumia is an AI-driven fashion intelligence platform forecasting trends, predicting demand, and optimizing retail inventory, built on proprietary “Demand Sensing” machine learning algorithms combined with real consumer demand signals.
Apollo, its demand prediction engine, uses an ensemble machine learning model combining product images and textual attributes to test product potential before any investment is made, while ImaGenie generates trend-relevant design concepts with a claimed 2x winning probability – and a Consumer Intelligence tool analyzes global fashion data across designers, brands, retailers, and runways to surface true consumer demand.
Stylumia targets designers and buyers, merchandisers and planners, market researchers, and retail executives, already used by over 100 brands and retailers reporting +60% sales velocity, +30% inventory turns, and +20% full-price sell-through improvements. Pricing isn’t disclosed – contact required via demo request.
