Consumer fashion may be among the most unpredictable markets on the planet, but one startup in India has created an AI-based demand sensing platform that combines the brilliance of data scientists with seasoned industry experts to ferret out trends with uncanny accuracy. The idea is to close the gap between supply and demand. Omni-channel retailers are using AI to synch design and merchandising decisions with breaking consumer demand trends for sustainable growth. "We help companies create demand-driven fashion forecasts from consumer data across a holistic value chain," Ganesh Subramanian, founder and CEO at Stylumia. "Our demand sensing engine collects and analyzes publicly available global data to rank product trends, providing fashion designers, retail buyers, and merchandisers with a much deeper understanding of real-time consumer demand signals."

Indian artificial intelligence startups are disrupting the fashion industry by helping brands identify trends on how consumers buy clothes. Brands are crunching time to bring new designs to market using the underlying technology that help predict consumer trends, while increasing sales of their new selections. Typically, brands freeze new designs nine months to one year in advance of the respective seasons. "More than half of the branded clothes by big retailers are sold in discounts. Brands think they know their customers, yet they have not been able to clearly identify what their choice is," says Ganesh Subramanian, founder and chief executive officer of Stylumia, an artificial intelligence and computer vision startup.