Take a picture of any shoe and instantly find its matching catalog design, material details, and exact shelf location. No more manual searching through unlabelled inventory boxes.
No technical training required. Your warehouse team simply snaps a photo and gets the exact location in seconds.
Take a photo of any shoe on the warehouse floor using a phone or tablet.
The app automatically removes background floor clutter to focus only on the shoe.
Analyzes unique stitching, sole patterns, and materials in less than a second.
Gently lets workers know if an accidental non-shoe photo was taken.
Displays the exact matching shoe along with its building, rack, and shelf location.
Real registered catalog shoes from `storage/catalog.db` — click any image for a larger preview.
Category: Leather Loafer • Upper: Premium Italian Leather
Category: Athletic Sneaker • Upper: Breathable Mesh
Category: Casual Slip-On • Sole: White EVA Midsole
Category: Heavy Outdoor Boot • Rugged Leather
Category: Executive Loafer • Croc-Pattern Leather
Category: High-Top Basketball • Performance Rubber
Traditional color search fails under warehouse overhead lights. Our visual search focuses on shoe shape, textures, and stitching for dependable results.
Search results display almost instantly so your staff never waits around during busy warehouse shifts.
Whether a phone photo is taken straight-on, sideways, or tilted, the app correctly identifies the shoe model.
Accidental photos of slippers or non-footwear objects are flagged immediately so your database remains clean.
Compare the old manual searching process with point-and-shoot visual location.
Designed to work seamlessly on desktop computers, tablets, and mobile phones.
Staff can take pictures directly using their Android phone camera while walking warehouse aisles.
Large, easy-to-tap buttons designed specifically for factory workers wearing protective gloves.
Secure sign-in with simple search access for workers and catalog management for managers.
For technically curious visitors, here is the underlying artificial intelligence stack powering our visual search.
Self-supervised vision model trained to recognize fine footwear textures and shapes regardless of lighting.
Lightweight image segmenter that removes background clutter before searching.
High-speed similarity search engine that scans thousands of catalog items in milliseconds.
Deploy ShoeMatch AI across your warehouse team or test visual search in your browser right now.