Lily AI
The semantic glue between product attributes and consumer search intent for enterprise retail.
Enterprise-grade computer vision and metadata extraction for global fashion commerce.
The Fashion API represents a critical infrastructure layer for 2026 fashion-tech ecosystems, leveraging advanced deep learning architectures to bridge the gap between unstructured visual content and structured commercial data. Built on a foundation of proprietary Vision Transformers (ViT) and Large Multimodal Models (LMM), the platform automates the extraction of over 200 distinct fashion attributes—including silhouette, neckline, material composition, and pattern—with near-human precision. By 2026, the architecture has evolved to include generative modules for Virtual Try-On (VTO) and real-time trend forecasting based on cross-platform scraping. The system operates as a headless API, allowing seamless integration into mobile apps, web marketplaces, and internal ERP systems. Its technical edge lies in its global taxonomy mapping, which translates localized garment descriptions into standardized data structures, enabling cross-border commerce without manual translation. Designed for high-scale operations, it supports asynchronous processing for bulk catalog ingestion and ultra-low latency endpoints for real-time visual search and recommendation engines, making it a cornerstone for retailers transitioning to AI-first operational models.
Uses an ensemble of CNNs and Transformers to extract hundreds of attributes simultaneously from a single frame.
The semantic glue between product attributes and consumer search intent for enterprise retail.
The All-in-One AI Marketing Platform for E-commerce Growth and Content Automation.
Transforming legacy open-source e-commerce into autonomous AI-driven storefronts.
The lightweight, high-performance AI engine for rapid e-commerce deployment.
Verified feedback from the global deployment network.
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Generates 512-dimensional embeddings for images to perform sub-100ms similarity lookups across millions of SKUs.
Edge-detection specialized for delicate fabrics and lace to generate studio-quality product images.
An algorithm that maps regional size data (UK, EU, US, JP) to a universal fit score based on garment dimensions.
Aggregates social media visual data to provide predictive scores on garment popularity.
GAN-based image synthesis that drapes a 2D product image onto a user-uploaded photo.
Heuristic and AI checks to ensure uploaded user content meets marketplace safety guidelines.
Manual data entry for thousands of third-party seller uploads is slow and error-prone.
Registry Updated:2/7/2026
Users see an outfit on social media but cannot find it in a retailer's catalog via text search.
Retailers struggle to track competitor pricing on identical or similar items.