KOMPASS brings shipping label verification to every carton and pallet before it leaves the dock. AI reads barcodes and printed text, confirms each label is present, readable and placed where scanners expect it, and matches its data to the shipment record.
A carton or pallet label is scanned by a carrier, distribution centre or customer, often days later. When it cannot be read or does not match the shipment, the problem lands in someone else's warehouse.
Our AI Product Inspection system, KOMPASS™, carries out shipping label verification by reading codes and text, checking presence, placement and condition, and comparing the data with your shipment record. Each result reaches the line controls with an image of the label it checked.
Shipping label verification works best right after labels are applied, while a problem can still be fixed. KOMPASS combines a view of every labelled face, reading trained on your labels and a link to your shipment data.
Cameras after the print-and-apply unit or at the pallet wrapper capture every label, with lighting set for the label stock and wrap.
The model reads codes and text, matches them to the shipment record and checks placement and damage.
Failing cartons or pallets are diverted for relabelling, and every result is stored with its image.
Send us examples of your shipping labels, common failures and how shipment data is generated. We will assess camera positions and integration.
Get In TouchEach method depends on seeing the label. The difference is how many labels get checked, and whether shipping label verification matches their data to the shipment.
Shipping label verification confirms that each carton or pallet carries a label, that the codes and text can be read, that the label sits where scanners expect it and that its data matches the shipment. A label fails if any of those checks fails. That covers both an unreadable label and a perfectly readable one that belongs to another order. Both kinds of failure cost the same at the customer, so both are checked at dispatch.
It reads the SSCC label barcode, product barcodes and 2D codes, together with printed text such as the product description, quantity and ship-to address in the printed address block. GS1-128 symbols are common on logistics labels, and the decoded data can be checked against what the shipment needs. Customer-specific layouts are trained during setup. Retailer-specific fields and layouts can be added as new customers come on board.
The decoded data is compared with the WMS record or order for that carton or pallet. A mismatch means the label belongs to another load or was printed with wrong data. Duplicate serial shipping container codes are flagged too. The match needs a reliable link to the shipment data, which is planned during integration. Where data cannot be linked yet, the station still checks presence, readability and placement.
Right after the print-and-apply unit is the most common position for carton labels, because a failed carton can be diverted for relabelling immediately. For pallets, cameras at or after the stretch wrapper check that labels on each face are present and not covered. A final check at the dispatch dock catches problems introduced during handling. Positions are chosen so every labelled face is seen at least once.
A barcode needs a clear quiet zone, enough print contrast and a flat surface. Labels placed over a seam, wrapped over a corner or covered by shiny film can look acceptable to a person yet fail a scanner. The station checks position and condition as well as content, and the image shows the cause. Moving the applicator or adjusting wrap settings often fixes these failures for good.
Retailers and distributors often apply chargebacks for non-compliant or unreadable labels, and misdirected shipments add freight, relabelling and customer service work. Catching the error before dispatch keeps the fix inside your own building, where it takes a moment to relabel a carton instead of tracing it through someone else's network. It also protects customer relationships, because fewer deliveries arrive needing rework.
Yes. Label damage such as tears, wrinkles, scuffs and wrap covering the code is visible to the camera and classified separately from data errors. That distinction matters because damage points to handling or wrapping settings, while data errors point to printing or order management. Both are recorded with images. The images also help settle carrier disputes about whether labels were damaged before or after dispatch.
Send examples of carton and pallet labels, including common failures, the layouts your customers require and how shipment data is generated. Describe the labelling, wrapping and dispatch layout. With that, we can recommend camera positions, integration and the divert flow for carton label inspection and pallet checks on your line. Customer label rules are useful too, because they define which fields must always be present.
Share your label layouts, common failures, shipment data source and dispatch layout. We will plan shipping label verification at the right points and give you timing and cost. Deployment typically takes 6 to 8 weeks.
