Kirby (by Kadoa)
The autonomous AI web agent for reliable, structured data extraction at scale.
Precision retail intelligence for real-time trend forecasting and competitor benchmarking.
Fashion AI by Omnilytics is a sophisticated retail data platform that leverages deep learning and computer vision to transform the global fashion market into actionable insights. In 2026, its architecture focuses on 'Hyper-Granular Attribute Extraction,' utilizing proprietary vision models to identify over 1,000 distinct product attributes (from silhouette and sleeve length to textile composition) from product imagery alone. The platform serves as a mission-critical stack for merchandisers and buyers, offering a real-time 'Visual DNA' of the competitive landscape. Its technical core integrates multi-source data scraping with predictive modeling to determine 'Trend Velocity,' allowing brands to distinguish between transient fads and sustained market shifts. Positioned as a leader in the Retail 5.0 era, Omnilytics bridges the gap between creative design and data science, ensuring that assortment planning is backed by empirical demand signals rather than intuition. The platform's 2026 update includes enhanced 'Inventory Health' metrics, which correlate competitor discounting patterns with stock-out frequencies to predict supply chain efficiency and pricing elasticity across global territories.
Uses deep convolutional neural networks (CNNs) to automatically detect and tag product attributes from e-commerce images with 95% accuracy.
The autonomous AI web agent for reliable, structured data extraction at scale.
Turn fragmented consumer data into structured knowledge graphs for hyper-accurate market simulation.
Real-time B2B intelligence and data integrity engine for precision-guided account-based growth.
The Next Move Is Yours: Luxury Real Estate Powered by Proprietary Intelligence.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An algorithmic model that calculates the rate of adoption vs. the rate of obsolescence for specific fashion silhouettes.
Tracks stock-out rates and sell-through signals by monitoring daily SKU availability across competitor sites.
Analyzes the impact of price changes on stock depletion rates across different market segments.
Automated comparison of a brand's product mix against the wider market to find 'white space' opportunities.
Correlates social media engagement with product availability to gauge regional demand.
Uses image hashing and fuzzy text matching to track the same product across different multi-brand retailers.
Retailers often discount too early (losing margin) or too late (failing to clear stock).
Registry Updated:2/7/2026
Designers creating collections that are out of sync with current market demand.
VCs/PE firms needing to validate the market health of a fashion brand.