Quantify & predict what people wear with the power of AI
Heuritech was created in 2013 by two PhDs in Machine Learning. Heuritech possesses an AI-based visual recognition technology and a forecasting model allowing apparel brands to quantify and predict what people wear, based on the largest dataset on fashion. Leading to a balanced collection assortment adapted to regional market specificities and reduced overstock.
- Our technology analyzes millions of social images monthly to give you unbiased data about your market
- We use AI to detect 2000 fashion attributes, from macro prints, colors and fabrics to granular shapes & attributes and even your own product lines
- Our consumer panels represent different segments, from celebrity influencers to mainstream consumers
Fashion Trend Forecasting
- Heuritech is a powerful SaaS solution (offered as a platform or API) that quantifies and predicts consumer demand by analyzing millions of social media images.
- Fueled by AI and fashion expertise, it provides brands with visual data, past trend trajectories, and predictive insights on prints, colors, fabrics, iconic models and silhouettes for upcoming seasons.
- Designed for creative and analytical teams, Heuritech empowers brands to create products that resonate, refine assortments, and sharpen their competitive positioning.
Why AI fashion trend forecasting?
Increase your sell-through by optimizing your collection
Reduce overstock, avoid missed revenue and increase sales by:
- Integrating future best-selling trends in your collections and avoiding slow-sellers
- Improving the accuracy of demand forecasting on key trends and product categories
- Adjusting and balancing your collection plan in regards to future market demand across all your markets
Reduce uncertainty: anticipate and quantify key trends of tomorrow
Don't miss any future big fashion trends and avoid declining ones, back all your design decisions with data and ensure the relevance of timing to your brand DNA by:
- Optimizing your product offer by including the right trends and avoiding the declining ones for the collection of interest
- Saving time spent researching and benchmarking trends in the market
- Fostering a data-driven mindset in the product decision-making
Ensure the digital transformation of the company driven by data & AI
Foster rationality in every product decision-making and accelerate the digital transformation of the company by:
- Enhancing cross-team collaboration and saving time in the collection development process
- Improving cross-divisional communication
- Using our fashion insights as a bridge of communication between creatives and analytical profiles
Fashion trend forecasting with Heuritech
Fashion trend forecasting is the act of predicting fashion trends including colors, fabrics, silhouettes, patterns, styles, and more for clothing collections in upcoming seasons.
Once drawn from Fashion Weeks, past sales analysis or trade shows, trend forecasting with Heuritech technology now allows brands to have an accurate vision of their present and future markets and customers.
Fashion & technology blog
How to Increase Sell-Through Rates Without Relying on Discounts
The brands achieving the highest full-price sell-through rates aren’t discounting more — they’re planning better. By using AI-powered trend forecasting and real consumer demand data, fashion teams can build smarter assortments, reduce overstock, and improve inventory performance without relying on markdowns.
Demand Forecasting for Fashion Products: How to Reduce Uncertainty and Optimize Inventory
Fashion demand forecasting is no longer about relying on intuition or past sales alone. By combining AI, social media trend analysis, and real-time consumer signals, brands can better predict demand, reduce overproduction, and make smarter inventory decisions. Modern forecasting helps fashion teams turn uncertainty into actionable insights — protecting margins while staying aligned with fast-changing consumer behavior.
Building a Balanced Collection Assortment: Balancing Risk and Core Products
Every season, fashion brands face the same high-stakes question: how much should you rely on safe, core products, and how much budget should you allocate to trend-driven, high-risk designs? Getting this balance wrong means either losing customer attention or facing costly markdowns. Discover how data-driven trend forecasting is helping modern brands turn creative risk into calculated strategy.
