Heuritech

Heuritech provides AI-powered trend forecasting and predictive analytics solutions for fashion, luxury, and sportswear brands. The company's technology analyzes over 3 million social media images daily using advanced visual recognition and artificial intelligence to detect over 2,000 fashion attributes including prints, colors, fabrics, and shapes. Through its Market Insights platform, offered as both a SaaS solution and API, Heuritech helps brands quantify and predict consumer demand up to 24 months in advance with 90% accuracy. The platform provides brands with visual data, past trend trajectories, and predictive insights to optimize collection planning and reduce overstock. By analyzing consumer panels ranging from celebrity influencers to mainstream consumers across different geographical markets, the technology enables brands to make data-driven decisions about product development and assortment planning. In 2023, the company was acquired by Luxurynsight to integrate its AI capabilities further into the luxury, fashion and beauty segments.

Heuritech's forecasting methodology involves defining representative consumer panels, applying computer vision technology to analyze millions of social media images, using machine learning algorithms to predict upcoming trends, and presenting actionable insights through its market intelligence platform. The company's research and development team continues to advance its deep learning and computer vision capabilities by publishing papers at major conferences and developing engineering solutions to analyze clothing at scale.

Key customers and partnerships

Heuritech has worked with several prominent fashion and luxury brands including Louis Vuitton, Dior, Sperry, Paco Rabanne, and Wolverine Worldwide. In terms of partnerships, the company collaborates with Pantone to provide color trend analysis services. The company also maintains thought leadership in the AI space as the founder and organizer of Deep-Learning Paris Meetup, a community of 5,000 researchers that meets monthly.