This site stores cookies on your device according to our
Privacy policy
Tevian Shelf Audit is an automated shelf auditing system for retail and FMCG companies. It uses computer vision to analyze photos of store shelves: identifying products, SKUs, packaging types, price tags, and promotional materials, then comparing the actual shelf layout against predefined standards and planograms.
The solution helps manufacturers, retail chains, distributors, and merchandising agencies check shelf conditions in stores faster. The system shows which products are in stock, which items are missing, where display rules are violated, whether price tags are placed correctly, and whether promotional activities are being executed.
High recognition accuracy in complex conditions
The system recognizes products from different angles, including side‑facing and partially obscured items, distinguishes between similar packaging designs, and works with photos of varying quality. Recognition accuracy can exceed 95%, depending on the product category, photo quality, and project conditions.
Quality control on developer side
The Tevian team regularly monitors recognition quality and updates the algorithms to maintain stable system performance on real‑world data from retail stores.
No retraining required for new products
New SKUs and packaging variants can be added to the database without retraining the model. This simplifies work with seasonal products, packaging redesigns, and assortment expansion.
Works with any layout and store format
Tevian Shelf Audit is suitable for different shelf types, product categories, and retail areas. The solution can be used in chain retail, FMCG, distribution, and merchandising projects.
Interpretable result without manual verification
The system turns shelf photos into clear, structured data: which products are detected, which are missing, where the planogram is violated, how price tags are placed, and which metrics require attention. This reduces reliance on manual analysis of photo reports.
Ready‑to‑use data for decision‑making
The system converts shelf photos into actionable metrics on product display, on‑shelf availability, price tags, promotions, and planogram compliance. These insights help identify violations faster, monitor field team performance, and make better merchandising decisions.