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Identify products, parts, assets and labels from images across retail, logistics and industrial operations.
Barcodes can be missing. Labels can be damaged. Products can look similar. Staff may need to identify items manually, verify the right product, or match physical goods against expected records.
Recognise products when barcodes, labels or RFID tags are missing, incorrect or unavailable.
Distinguish products, parts and assets that are difficult to verify manually.
Turn visual recognition into consistent outputs that teams and systems can use.
Fresh produce, bakery, packaged goods, returns and checkout items.
Components, fittings, pipe spools, assemblies and visually similar items.
Pallets, containers, shipments, crates and operational stock.
Product labels, shipping labels, batch codes and serial numbers.
Tools, machinery, PPE, operational assets and site equipment.
Verify product presentation, completeness, condition and visible defects.
Product recognition is most valuable when products look similar, labels are missing, barcodes are unavailable or manual selection creates errors.
Differentiate products such as produce varieties, packaged variants, parts or components.
Identify items when barcodes, labels, packaging or RFID tags are missing, damaged or incorrect.
Return recognised items as structured data for checkout, inventory, fulfilment and workflows.
Tiliter converts recognised products, parts, labels and assets into structured operational data that can be used across existing business systems and workflows.
Upload an image, use a mobile device, document scan or connected camera feed.
Identify products, parts, assets, labels and other visual objects automatically.
Return structured outputs for inventory, verification, reporting and operational workflows.
Upload images and see how Tiliter turns visual product information into structured operational data.