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Survey unveils issues related to fresh food labels scanning

Digimarc has released a survey report focusing on the issues of how damaged and misplaces retail labels form fresh food departments can reduce cashier productivity.

The survey, conducted by The Harris Poll on behalf of Digimarc, revealed 90% of cashiers scanning printed labels believed that decreasing the number of hard-to-scan perishable and store perimeter labels would help enhance their productivity.

And 32% of the cashiers who had items that did not read when scanned, said that these label issues usually lead to some customers not purchasing the item.

The survey took responses from about 500 grocery store cashiers in the US and has gauged the experience scanning retail labels from fresh food departments.

These retail labels are usually applied to fresh food items such as meat, seafood, bulk and cheese products. The survey showed that dairy items were generally had the largest scanning issues, where nearly half of the cashiers faced items that did not read when scanned (47%). Cahiers also stated these dairy items caused problems three or more times per shift.

Meat and seafood items, on the other hand also caused problems, with 63% of cashiers whose stores use in-store printed labels.

Digimarc claims that such scanning problems can be addressed by using its Digimarc Barcode for labels and packaging. It carries the same data found in GS1 EAN/UPC and GS1 DataBar conventional barcodes.

The Barcode is repeated several times across the surface of a label. This broad repetitive coverage provides scanners and mobile devices with a larger and more reliable scanning surface than a label with a traditional barcode.

Digimarc marketing vice president Heidi Dethloff said: “Sales of fresh food items are increasing and The Harris Poll survey demonstrates the need for reliable and efficient labels for cashiers to scan.

“With Digimarc Barcode, packaging and labels, even those that are wrinkled, crinkled, smudged, damaged or torn are easily scanned, preventing delays, ensuring data accuracy, and improving the customer experience.”