Designovel
Data-Driven Generative AI for Fashion Design and Market Intelligence.
Transforming social media images into actionable fashion insights through deep learning visual recognition.
Heuritech is a leading AI-powered market intelligence platform specifically designed for the fashion, luxury, and beauty industries. Utilizing proprietary computer vision technology, the platform analyzes over 3 million images and videos shared daily on social media platforms like Instagram, TikTok, and Weibo. By identifying over 2,000 distinct fashion attributes—including colors, textures, shapes, and specific product categories—Heuritech provides brands with quantitative data on consumer behavior that was previously qualitative and subjective. In the 2026 market landscape, Heuritech positions itself as a critical bridge between design and demand, enabling brands to reduce overstock by up to 30% through hyper-accurate trend forecasting. The technical architecture relies on high-fidelity image recognition models trained on massive, curated fashion datasets, allowing for the detection of emerging trends up to 12 months in advance. Its market position is solidified by its ability to filter through 'social noise' to identify authentic consumer adoption rates versus fleeting viral moments, providing a granular view of market saturation across different geographies and demographics.
Uses time-series analysis and computer vision to predict the future adoption curve of over 2,000 attributes.
Data-Driven Generative AI for Fashion Design and Market Intelligence.
Orchestrating the future of sustainable, data-driven retail through Watsonx generative AI and predictive analytics.
Transform unstructured data into predictive market insights with cognitive trend analysis.
Architecting the future of apparel through multi-modal Vision-Language Models and Diffusion Synthesis.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Filters social media data into distinct consumer segments: Edgy, Fashion Forward, and Mainstream.
Side-by-side visual analysis of your brand's social presence versus competitors.
Deep learning model that automatically classifies product images with 90%+ accuracy.
Deep integration with Weibo and Little Red Book (Xiaohongshu) APIs.
Correlates social media visual data with stock availability to identify missed opportunities.
Allow users to find products within a catalog based on social media screenshots.
Designers are unsure if a specific color palette will still be relevant in 6 months.
Registry Updated:2/7/2026
Retailers over-ordering a specific style that is actually declining in popularity.
A European brand wants to enter the US market but doesn't know local preferences.