Shelf images into reviewable results
Upload photographs and inspect detected instances, unique products and processing results. Multiple-image inputs include a stitching path.
Retail computer vision / Retail AnalyticsPrivate client deployment
Give every shelf detection a path to a better decision.
A retail workspace connecting shelf recognition, product review, a structured catalog and linked price history.
The engineering challenge
Make the connections useful.
A predicted product is the beginning of an operator’s work. The difficult part is making its identity inspectable, correcting imperfect matches and keeping the result connected to an evolving catalog.
The image processor connects to reference-image review, editable product records, linked source observations and structured exports. Human correction is part of the main workflow.
Move from a shelf image to a proposed SKU, inspect its reference, correct the match and follow the product’s recorded price context.
One connected workflow
Conceptual workflow · not an application screenshot
- 01
Upload shelf photograph
- 02
Inspect product proposals
- 03
Correct SKU + reference
- 04
Explore history + export
What we built
Recognition becomes a working product record.
Separate controls for separate tasks
Tune product and price-tag detection thresholds independently, with explicit settings for planogram and traditional-trade inputs.
A correction has somewhere to go
Compare a detected crop with its proposed reference, edit the crop, find another SKU and manage accepted reference examples.
A catalog with historical context
Filter products by brand, category and family; link source records and inspect dated prices with source, store, city and currency context.
Connected catalog
From recognition to a reference record.
The image and the catalog speak to each other.
Review does not end with a bounding box. Operators can inspect structured product details, maintain accepted examples and export reviewed image results. Synchronization and indexing jobs expose progress, logs and completion state.
Reading the results responsibly
Visible instances describe what the image shows, not stock hidden behind the front row. Similarity scores are review aids. Image-read price labels and historical source prices remain distinct observations.
Computer vision integrationHuman reviewProduct catalogFastAPIReactSearch indexing
Build with AlgoFly
Have a similar challenge?
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