This is like a weather forecast, but for fashion: Heuritech’s AI scans millions of images and signals from social media and the market to predict which colors, shapes, and styles will be popular in Autumn/Winter 2026 so brands can design the right products early.
Reduces the guesswork in seasonal collection planning by predicting future consumer preferences and trend lifecycles, helping brands avoid overstock/understock, improve hit rates on new designs, and react earlier to shifting consumer patterns.
Proprietary, longitudinal image and trend data from social media and market sources; domain-specific labeling for fashion attributes; forecasting models tuned to style lifecycles; and embedded workflows for designers and merchandisers that make the tool sticky.
Hybrid
Vector Search
High (Custom Models/Infra)
Ingesting and labeling massive volumes of image and social data, and maintaining accurate, up-to-date fashion taxonomies and time-series models across many markets and segments.
Early Majority
Compared with traditional trend agencies that rely heavily on human scouts and qualitative reports, Heuritech positions itself as AI-first, using large-scale image recognition and forecasting to quantify the size, timing, and trajectory of micro- and macro-trends several seasons ahead (e.g., AW26), giving brands earlier, more granular, and more measurable signals than manual methods.