Heuritech offers an AI-driven visual recognition platform that scans millions of social‑media images to identify and quantify fashion attributes such as colors, prints, and silhouettes. The system combines computer‑vision detection with time‑series forecasting to deliver 24‑month demand predictions via a SaaS dashboard and REST API, enabling apparel, sportswear, and luxury brands to optimize assortment planning and reduce excess inventory.
Funding
$4.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Fashion brands rely on manual trend scouting and limited sales data, which often leads to inaccurate demand forecasts, excess inventory, and missed sell‑through opportunities. The lack of real‑time, quantitative insight into consumer preferences across regions hampers effective assortment planning.
Solution
Heuritech delivers an AI‑powered visual recognition and forecasting platform that continuously analyzes millions of social‑media images to quantify the adoption of prints, colors, fabrics, silhouettes, and other fashion attributes. The system generates predictive insights for up to 24 months ahead, combining computer‑vision detection of over 2,000 attributes with time‑series trend models calibrated against historical sales and runway data. Users access these insights through an interactive SaaS dashboard or a RESTful API, enabling designers, merchandisers, buyers, and planners to align collections with actual consumer demand. The platform supports regional segmentation, consumer‑cohort analysis, and scenario planning, helping brands reduce overstock, improve sell‑through, and accelerate digital transformation of the product development workflow.
Target Audience
Primary customers are apparel, sportswear, and luxury brands—specifically product development, merchandising, buying, and supply‑chain planning teams that require data‑driven trend insights for collection design and assortment optimization.
Features
- Scalable computer‑vision pipeline processing >10 M social‑media images monthly, detecting >2,000 fashion attributes with >90 % accuracy
- Forecasting engine that projects attribute visibility and market share for up to 24 months, incorporating historical sales and runway signals
- Interactive web dashboard with heat‑maps, trend trajectories, and geo‑level breakdowns for designers, merchandisers, and buyers
- RESTful API delivering weekly attribute‑level data, historical series (up to 6 years) and forecasts for seamless integration with PLM, ERP, or custom planning tools
- Segmentation module that isolates trends by consumer cohort (influencers, mainstream) and geography, enabling localized assortment decisions
- Export options in CSV, JSON, and industry‑standard formats for easy data exchange across systems
- End‑to‑end encryption, role‑based access controls, and GDPR‑compliant data governance
- Continuous model retraining via active learning from brand feedback to maintain and improve prediction precision