Scandit

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Top shelf. Bottom shelf. Across the cart. With Scandit, your app users can scan common retail barcodes from an average of 77 cm.

Looking forward to sitting down with experts and talking about something that’s on retailers’ minds: Self-checkout loss. I’ll be joining retail expert Anne Mezzenga of Retail Field Report as well as Scandit Product Director Thomas Wesner to talk about the most common patterns of self-checkout loss and how it can be detected without identifying anyone - which is very much the opposite of the current facial recognition systems. Especially for me working in markets like Europe but also parts of APAC with high regulation and appreciation of privacy, this will be a very fascinating topic. Excited for this: if you’re planning on joining, you can sign up here: https://lnkd.in/ggqutvD9 See you there 👋

When was the last time you were at a self-checkout and realized you had missed scanning an item? Or your payment didn’t go through and you left without noticing? Moments like these add up. Self-checkout now carries nearly 30% of total retail loss. Where does this loss happen? And how can we spot and reduce it without breaking the promise of a frictionless self-checkout, and without identifying shoppers? That’s what we’ll explore in the upcoming webinar with my colleague Benjamin Hempel and retail expert Anne Mezzenga. We’ll talk about the countermeasures retailers use today and what each one costs, and I will also demo Scandit’s new Self-Checkout Loss Prevention solution. Tune in on Tuesday, 10 November at 2 pm CET and bring your questions. We’ll end with a live Q&A, and I’m looking forward to hearing your challenges. 👉 https://lnkd.in/eN_ZZtd6 #Retail #LossPrevention #SelfCheckout

Associates in a business running a million scans a month spend about 70 days a year fixing mis-scans. Get the time back with AI-powered scanning.

1 in every 30 of your scans captures the wrong barcode. 1 wrong scan. 1 wrong item shipped. 1 return, 1 refund, 1 lost customer.