Another month wrapping up, and you know what that means: it’s DECODED time. 🥳 It’s arguably our favorite moment of the month, when we get to recap what’s worth knowing in smart data capture, from and for our community. Inside: ✈️ How Air France-KLM successfully moved passport checks to the passenger's sofa 🤝 Lessons from our Empower event 🥬 Flashfood vs. food waste 📱 How to choose scanner hardware Grab a coffee. ☕ Ready to dig in? 👇
Scandit
Softwareentwicklung
Wir verändern die Interaktion von Unternehmen und Kunden mit handelsüblichen Produkten – mit nur einem einzigen mobilen
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Wir stellen ein: www.scandit.com/careers Bei Scandit ermöglichen wir Unternehmen und Kunden, die Art und Weise der Interaktion mit Alltagsgegenständen zu verändern und die physische Welt um Echtzeitdaten zu erweitern. Diese werden durch das Erfassen von Barcodes und der Erkennung von Text, Objekten und anderen visuellen Identifikatoren mit Hilfe von Smartphones, Tablets, Wearables, Drohnen und Robotern angezeigt. Scandit stellt eine Cloud-basierte Mobilitäts- und Datenerfassungsplattform für Smart Devices zur Verfügung, die auf proprietärer Computer Vision, Machine Learning und Augmented Reality basiert. Scandit wurde 2009 von einer Gruppe von Forschern des MIT, der ETH Zürich und des IBM Research gegründet. Das Unternehmen hat seinen Sitz in Zürich, Schweiz, und ist auch mit Büros in San Francisco, Boston, London, Tampere und Warschau vertreten. Im Laufe der Jahre hat sich unser Unternehmen zu einem erstklassigen internationalen Team aus Experten für mobile Bildverarbeitung, Cloud-Computing und dem „Internet der Dinge“ entwickelt. Durch unsere Thought-Leadership-Kultur und unsere Innovationen betreten wir immer neue Wege im Bereich der mobilen AIDC. Viele der innovativsten und erfolgreichsten Unternehmen der Welt profitieren bereits von unserer mobilen Datenerfassungsplattform. Zu unseren Kunden gehören Ahold, Levi Strauss & Co., Coop, Macy's, Louis Vuitton, Hermes UK, Cardinal Health, Scandinavian Airlines und Verizon Wireless. Besuchen Sie unseren Blog auf scandit.com/blog und erhalten Sie immer die aktuellsten Informationen.
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https://www.scandit.com
Externer Link zu Scandit
- Branche
- Softwareentwicklung
- Größe
- 201–500 Beschäftigte
- Hauptsitz
- Zurich
- Art
- Privatunternehmen
- Gegründet
- 2009
- Spezialgebiete
- Image Recognition, Optical Character Recognition (OCR), Computer Vision, Transportation and Logistics, Healthcare, Barcode Scanning Software, Augmented Reality, Retail Software, Enterprise Software, Last Mile Solutions, BYOD Solutions, Digital Transformation und Machine Learning
Beschäftigte von Scandit
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Selling surplus inventory is good for the planet and the bottom line. But if scanning and listing an item takes longer than just tossing it, busy stores and associates won’t bother. 🙅 That’s what Flashfood wanted to make simpler. Their marketplace lets grocers list and sell surplus items, so nearby shoppers can grab them at a discount. For that to work, capturing everything on a single label (expiry dates, product attributes, pricing) has to be quick and reliable. When it isn’t, items don’t get listed, food gets wasted, and shoppers lose out on deals. After Flashfood integrated our AI-powered Smart Label Capture into their Partner App, associates in partner stores could scan and list up to 10 items in under 30 seconds – and marketplace posts jumped 33%. 🤯 Yixin Zhu, VP of Engineering at Flashfood, shared more on how they got there: https://okt.to/TsdEuH
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Here's a Friday fun fact: on this day in 1974, a 10-pack chewing gum got scanned at a supermarket in Ohio. The first UPC barcode ever 🤯 Fast-forward 52 years and there are now ~30 barcode types in use – from 1D codes like UPC and EAN to 2D ones like QR and Aztec. It’s fair to say barcodes are kind of our thing 😉 So to celebrate National Barcode Day, here are 5 lesser-known barcode facts.
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We love hackathons. Whether it's our own (we run hackathon challenges twice a year at Scandit) or something like Her Summer Hack, you can count us in 🤓 Some of us spent last week in Zurich at a one-day summer hack for women in tech. The projects were good. So good that our very own Raffaele had a hard time picking winners. (Check out his post on the Scandit challenge he gave to participants!) Congrats to everyone who showed up and built something, and a big shoutout to HerCode and Zenline AI for making it happen 🙌
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Is your employee retail app actively hindering your team’s productivity? 🚩 A few red flags: 🐢 Slow onboarding 🔀 Devices and apps that don't talk to each other ⌨️ Manual data entry is still very much a thing 🗣️ Workers telling you something's off Sound familiar? Here are all 7 signs your app is due for an upgrade 👇
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Loved seeing this come out of our hack challenge at Her Summer Hack. Huge congrats to the team on 3rd place 👏
🥉 3rd place at my first ever hackathon! Last Friday, I joined Her Summer Hack by HerCode, building on Scandit's B2C retail challenge. With my amazing teammates Suruchi and Mishita, we built TrailMate in 5 hours. TrailMate is an AI concierge for outdoor retail. Plan your trip, get an AI-curated gear checklist, swipe through recommendations, then let the app guide you through the store with live barcode scanning, AR shelf highlighting, and a product chat assistant. We used Lovable to rapidly build, with Anthropic's Claude helping us turn a chaotic Miro board into a build plan we could actually ship in few hours. Huge thanks to HerCode, Scandit and Zenline AI for hosting! Came in knowing almost nothing about hackathons. Left with a working product, 3rd place, and an even bigger obsession with building 🌟
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Where should retailers actually start with AI? 🤖 Not where you’d think. The pressure right now is to do something flashy. But retail analyst Natalie Berg makes the case for the opposite: fix the basics first. Because when you get the fundamentals right, even marginal gains can make a massive difference at scale. She breaks it down in the clip below. Full webinar in the comments. 🔗
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Augmented reality in delivery used to be a "someday" thing. Turns out someday is now ⚡ AR is already out there reshaping the last mile – and it's only picking up pace (the AR logistics market is set to grow 24%+ a year through 2028, per Market Research Future). And it's not just about shaving minutes. "AR makes logistics more human, more efficient, and more sustainable," says our Senior Industry Solutions Manager, Lyndal Moeller. Here are 5 ways it's changing last-mile delivery 👇
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Football just discovered vision AI. Retail's had it on the shelf the whole time. ⚽ This summer, 16 cameras track every player at 50 frames a second (29 points on each body) just to call one thing: onside or off. Same tech in your grocery store. The cameras look a bit different (a few mobile ones and robots have joined the squad), but the logic is identical: check what's actually on the shelf against what should be there, and the second something's off, ping a store associate to fix it. There’s a key difference though. Football's system is built to catch a single moment. Shelf intelligence is built for something harder. We dug into the full parallel here 👇 Link in the comments.
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This week we brought retail leaders together in NYC for Empower, our annual summit on where the industry is heading. Samuel Mueller shared why vision AI is the foundation everything else gets built on. His full take 👇
I just returned from spending an energizing few days with key customers at Empower in NYC 🗽 Empower is our two-day summit – where we bring together a curated group of retail leaders, strategists, and innovators to engage in dialogue on where the industry is heading, the technology driving the change and best practices on how to help retailers transform their business. During my keynote, I spoke about retail’s paradox: it’s one of the most data-rich industries, yet the retail store still remains the biggest blind spot in the business. Data collected is not the same as data activated, and knowing isn’t acting. That blind spot shows up as wasted labor hours, missed revenue opportunities because the shelf was empty, rising shrink and, worst of all, eroding customer loyalty. Smart data capture, powered by vision AI, helps retailers turn inventory visibility into something the associate in the aisle can act on. The ones winning on execution are already doing this. But what comes after? Vision AI is a key prerequisite for physical AI: robots, smart shelves, agents guiding employees through an earpiece or smart glasses. None of it works until the store can see and sense itself first. Get that foundation right, and everything built on top of it compounds. How AI mature would you rate your own organization and what's the biggest opportunity you see that Vision AI could help unlock for you?
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