Description
Heuritech is a leading AI-driven platform specializing in fashion trend forecasting. Founded in 2013 by two PhDs in Machine Learning, the company utilizes advanced visual recognition technology and forecasting models to help apparel brands quantify and predict fashion trends. By analyzing millions of social media images monthly, Heuritech provides unbiased data on market trends, enabling brands to create balanced collections tailored to regional market specificities and reduce overstock.
The platform detects over 2,000 fashion attributes, including macro prints, colors, fabrics, and granular shapes, offering brands insights into consumer demand for upcoming seasons. Heuritech's technology empowers creative and analytical teams to refine assortments and sharpen competitive positioning, ensuring products resonate with consumers.
Heuritech's AI forecasts achieve high accuracy, leveraging proprietary algorithms and real-time data analysis to predict trend growth up to 24 months in advance. This enables brands to optimize production, reduce uncertainty, and maximize sell-through rates. The platform is designed for global fashion and luxury brands seeking data-driven decision-making.
Pricing for Heuritech is customized based on the data insights required by the client. Brands interested in integrating Heuritech's predictive analytics can contact the company to discover the right pricing model for their needs. The platform is available as a SaaS solution, offered either as a platform or API, fostering digital transformation and enhancing cross-team collaboration.
Heuritech's Core Features
AI-powered trend forecasting
Visual recognition technology
Social media image analysis
Detection of 2000 fashion attributes
Predictive insights for upcoming seasons
High accuracy forecasts
SaaS platform and API
Customized pricing model
How to use Heuritech?
Configure: Set up data preferences
Use: Analyze social media images
Optimize: Refine collection assortments
Collaborate: Enhance cross-team communication
Heuritech's Use Cases
- Trend Analysis
- Collection Optimization
- Demand Forecasting
- Overstock Reduction
- Competitive Positioning





