The industry-leading Complete the Look automation platform for scaling merchant expertise.
FindMine is a high-performance AI automation engine designed for large-scale retailers to solve the bottleneck of manual 'Complete the Look' content creation. Unlike basic recommendation engines that suggest similar items, FindMine utilizes a proprietary Product Relationship Management (PRM) system. This system mimics the logic of a human stylist or merchant by analyzing product attributes, brand aesthetics, and seasonal trends to generate complete, visually cohesive outfits or sets for every SKU in a catalog. By 2026, the platform has evolved to incorporate advanced generative AI and computer vision models that not only pair items but also dynamically create lifestyle-oriented marketing copy and cross-channel visual assets. Architecturally, it is built as a headless API-first solution, allowing seamless integration into modern composable commerce stacks. It positions itself as an operational efficiency tool, reportedly reducing manual merchandising labor by up to 90% while significantly increasing Average Order Value (AOV) and conversion rates through context-aware cross-selling.
A logic engine that stores and applies merchant styling rules across the entire product database to ensure outfit consistency.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses AI to generate lifestyle collages or flat-lays from individual product images without manual graphic design.
Dynamic filtering that swaps out specific items in a 'look' if they go out of stock, maintaining a complete set.
Adjusts recommendations based on local weather, user purchase history, and seasonal trends.
Lightweight JavaScript libraries for React, Vue, and Angular for seamless frontend implementation.
Automatically generates descriptive, brand-aligned copy for every generated outfit.
One-click deployment of curated looks to Email (ESP), Social (Facebook/Instagram Shops), and Print/Catalog.
Customers often like a single item but don't know how to style it, leading to lower cart values.
Registry Updated:2/7/2026
Standard abandoned cart emails only show the single item, which might not be enough to convert.
Store associates may lack the styling knowledge to cross-sell effectively across a large inventory.