🚨 Tomorrow. 11am CET. 45 minutes on what it actually takes to scale retail AI. The pilot graveyard is real. Most retailers can stand up an AI proof of concept. Far fewer can roll one out across hundreds of stores and prove the ROI. That's the conversation we're having tomorrow, with an expert panel comprising off: ✅ Natalie Berg, retail analyst and host of Retail Disrupted, on the AI trends reshaping retail ✅ Pavel Ryukhov, former Head of Global Store Operations at Metro AG, on the lessons learned scaling AI across a complex estate ✅ Ben Hempel and Jessica Grisolia from Scandit, the pilot playbook that drives AI success and the ROI metrics that matter Plus a live Q&A. Bring your burning questions. If you're already signed up, see you at 11am CET. If you're not, there's still time. 👉 Register here: https://okt.to/PHzuMd
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
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- 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
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Beschäftigte von Scandit
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Planogram compliance and price checking. Two things every retailer knows matter. Two things that have been painful to do well for about as long as retail has existed. 😩 Our engineers knew they could change that. With the expertise and technology at our disposal, the answer to this problem was already within reach. So they built the solution. ✅ It's AR-guided, so store associates can see exactly what needs checking as they walk the aisle - no guesswork, no paper audit sheets, no re-walking the same section twice. ✅ It captures multiple labels in a single pass. Not one at a time. Not slow. Fast enough to actually fit into a real shift. ✅ And it works on the devices retailers already have. No new hardware. No 18-month rollout. It slots in. We’re genuinely proud of what this team has built. Not because it's technically impressive (it is), but because it solves something real, for people doing a genuinely hard job on a busy shop floor. If you're in #retail and shelf compliance is something you're still solving with clipboards and spreadsheets - this is worth five minutes of your time to check out. 👉 https://okt.to/9Y2SMn
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Grocery shrink costs the industry $35 billion in food every year. Flashfood is tackling that with their new Flashfood For Partners app - evolving from a posting tool into a full shrink management system, giving retailers real-time visibility into shrink recovery instead of waiting on month-end reports. 🔍 We're proud to power the scanning at the heart of it: using Scandit Smart Label Capture, the app can instantly capture and process multiple barcodes and product details with high accuracy - so store teams can post items faster and at scale. Great work from the Flashfood team. Read the full coverage in Progressive Grocer 👇
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🚨 Joining us next week? 21 May, 11am CET. 45 minutes. Four speakers who've seen retail AI deployments succeed, and struggle, at scale. Natalie Berg, retail analyst and host of the Retail Disrupted Podcast, will share her up-to-the-minute insights on retail AI challenges, opportunities, and what it really takes to succeed. Pavel Ryukhov, experienced retail leader and former head of store operations at Metro AG, shares his AI experiences, lessons learnt, and perspective on data-driven retail. Scandit's experts bring the experience fresh from the frontline: deployment details, pilot playbooks, ROI metrics, and what it takes to roll out across a complex store estate. Live Q&A at the end. Bring your questions. If scaling AI across your retail operations is on your agenda for 2025, this is worth 45 minutes of your time. 👉 Register here: https://okt.to/ZUymIg
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Choosing the right smart device means looking way beyond the spec sheet! 📊 Join Mukul Madan, Senior Solutions Consultant at Scandit, as he breaks down the 5 key criteria you need to keep in mind when making your choice: 1️⃣ Scanning Volumes 2️⃣ Battery Life 3️⃣ Environmental Conditions 4️⃣ User Experience 5️⃣ System Integrations To succeed, you need to understand how your team scans today, and the experience you want to deliver tomorrow.
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👀 Here's what working with large DIY retailers on shelf execution actually teaches you. It's rarely one big problem. It's hundreds of small ones - repeated, at scale, every week. A planogram gets reset. Four weeks later, half the category has drifted. A seasonal promo goes live. The labels don't. A price change rolls out centrally. It doesn't make it to aisle 7 by Saturday morning. In a hardware or home improvement store, the SKU count is enormous, the aisles are long, and the staff-to-floor ratio is tight. By the time a compliance issue is spotted manually, it's already cost you something. What we've found from working with large DIY retailers: ✅ Price compliance failures are highest in high-velocity categories - fixings, adhesives, seasonal lines ✅ Planogram drift accelerates after resets and range reviews, not before ✅ The stores with the tightest execution aren't doing more audits - they're doing smarter, faster ones The shift isn't from "no checking" to "more checking." It's from slow, manual walks to real-time visibility at the shelf - so issues are caught before they become patterns. If shelf compliance is on your radar for 2026, worth a look at what's possible.
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How does scanning perform when barcodes are packed close together? We put traditional and AI-powered barcode scanning head to head. 🦕 Traditional barcode scanning guesses... and gets it wrong. ✨AI-powered barcode scanning is smart enough to know when it doesn’t know, and hand control back to the user. Learn more about how it works here: https://okt.to/uUzdoW
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💡 Retail AI is moving fast. The question isn't whether to invest, it's how to make it stick. Pilots are everywhere. The harder conversation, the one most retailers are having behind closed doors, is about what comes next. How do you scale something that worked in one store across hundreds? How do you measure the impact in a way that holds up to scrutiny? And where do you start when everything feels like a priority? Those are the questions we're bringing into the open on 21 May, with a panel that's seen this from every angle: analyst, retail leader, and technology experts. No slides. Just a practical, candid conversation with space for your questions. 21 May, 11am CET. 45 minutes. 👉 Reserve your spot: https://okt.to/UOf9nD
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Once you've covered the basics, how do you evaluate individual barcode scanning devices? 🧐 Mukul Madan, Senior Solutions Consultant, reveals that it all comes down to putting specific features to the test. When evaluating a device, make sure to check: ⚡ Time to scan (speed) & Accuracy 📏 Scan range & Low-light performance 🔋 Power efficiency & Ergonomics 🧱 Ruggedness (Can it survive a warehouse fall?) 🔍 Ability to scan multiple or tiny barcodes!
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The cost of living has turned a missing shelf label into something it never used to be: a reason to leave. In a large DIY or hardware store, shoppers are mentally tallying before they reach the checkout. They're checking prices against the shelf. They're noticing when something doesn't add up. A missing label means hesitation. A price mismatch at the till means a moment that stings - even when it gets resolved. For one aisle on one day, that's manageable. Across a 200-store DIY chain, it looks like this: 🔴 Hesitation that becomes a quiet, unrecorded lost sale 🔴 Price overrides that slow queues and grind down staff 🔴 Planograms that drift week after week until the promo no longer performs None of these are headline failures. No one writes a post-mortem on a missing label. But at scale, "small" stops being small. It becomes a slow leak in margin, labor capacity, and the trust shoppers extend to a store before they decide whether to come back. The goal isn't perfect shelves for the sake of it. It's reducing the volume of errors - because in #DIY retail, the math adds up faster than you'd think. 👉 https://okt.to/GrC6bB