Beyond spotting what's trending, the real value of AI lies in turning data into concrete collection decisions: what to develop, when to launch, in which markets, and at what scale. Through real use cases, from designers betting on early signals to merchandisers sizing their allocations, discover how Heuritech's AI helps brands build collections that match real demand while reducing the risk of overstock
Noémie Voyer (Creative Director, Heuritech)
Victoria Di Giorgio (Senior Product Manager, Heuritech)
Seminar in English - Amphithéâtre
Heuritech quantifies and predicts consumer demand with the largest dataset on fashion and the most accurate forecasting model. Created in 2013 by two PhDs in Machine Learning, Heuritech possesses an AI-based visual recognition technology applied to big data panels and a forecasting model allowing apparel brands to quantify and predict what people wear. For what? To help fashion companies, retailers and manufacturers produce only what people want. Leading to a balanced collection assortment adapted to regional market specificities and reduced overstock.
