Machine Learning: Predicting Demand in Fashion

Ritesh Madan shows how Celect uses the historical data (point of sales transaction, inventory, product attributes, product images, product descriptions) to build a SaaS solution that helps buyers and merchants predict the future demand of products for the upcoming season. The short talk covers the real life problem statement, high level ML frameworks, and how the product is used by buyers and merchants. This video was recorded at QCon.ai 2018: bit.ly/2piRtLl The InfoQ Architects' Newsletter is your monthly guide to all the topics, technologies and techniques that every professional or aspiring software architect needs to know about. Over 200,000 software architects, team leads, CTOs are subscribed to it.