Most retail supply chains don’t have a visibility problem anymore. They have a latency problem. By the time teams analyze reports, align stakeholders, and make decisions, the moment has already passed. That’s why the next shift in retail operations isn’t just predictive AI. It’s Agentic AI: Systems that sense, decide, and execute autonomously across supply chains. The future advantage may belong to retailers building autonomous operations now. Learn more at: https://lnkd.in/dA3uRv2t #RetailAI #SupplyChain #AgenticAI #RetailOperations #AIinRetail #RetailTechnology #DigitalTransformation #SupplyChainManagement #RetailArise
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The pace of retail innovation in just the last three months has been nothing short of remarkable. Before retail AI, teams had access to hourly shelf data but couldn’t realistically process the volume of information quickly enough to make fast, accurate decisions. Now, AI can surface these real time signals to help teams predict shelf needs, prevent out-of-stocks, and solve problems as they happen. 📊 In this conversation with NWA Founders, Crisp CEO and Founder Are Traasdahl shares his perspective on the current state of agentic AI in retail operations – and where it’s headed next. Watch Now: https://lnkd.in/daA6mKrh #CPG #AI #RetailAI #supplychain #dataops #commerce #foodandbeverage #NWA
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Retailers outperforming in 2026 are 482% more likely to have adopted technology early. Research identified the technology pillars behind that gap. Two of them have a direct impact on store operations: AI at scale and platform modernization. AI spending in retail is growing 27% a year. But the advantage doesn't come from AI alone. The evidence is clear: to unlock its potential, AI needs a connected data foundation and processes that actually work on the store floor. That's what Frogmi builds: a unified platform where every solution is interconnected, delivering real-time visibility and the operational capacity to act on it. Not plans that stay on paper. Where is your technology still falling short? #RetailTech #RetailOps #AI #Frogmi
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Retail AI just got up to 85% faster ⚡ This shift isn’t coming from better models alone. It’s coming from how they’re being used. Instead of choosing between GPT and traditional systems, retailers are starting to combine them. That’s where the real change is happening. The result is faster decisions, more flexibility, and a very different way of operating. 👉 Swipe to see what’s behind it #RetailAI #AIinRetail #RetailStrategy #ArtificialIntelligence #TotalRetail #TR
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“For at least the last five or six years, it has felt as though the industry was on the cusp of maturity – always close, but not quite there. What has been remarkable about this competition is realising that much of what has been discussed for the past decade is finally becoming a reality" Thanks for including my comments.... I was astounded by the quality of entries and felt privileged to take part in the judging. #stores #smartstore #iot #retail Global Convenience #stores
What does a truly “smart” store look like in 2026? After reviewing entries from around the world, judges in the Smartest Store in the World competition agreed on one thing: technology alone is not enough. What stood out most to the judges wasn’t flashy technology - it was practical implementation: ✔️ Better labour efficiency ✔️ Smarter operations ✔️ Improved customer experience ✔️ Real commercial results From AI-powered retail operating systems to scalable edge AI deployments, this year’s entries revealed how quickly innovation is moving across global convenience retail. Some fascinating insights from the judging panel in this piece 👇 Read the article here: https://lnkd.in/eEcU8A8p Dan Munford, George Zheng, Brian Gray, Austin Lieb, Naveed Lalani, Tarang Sethia, Kate Ancketill, Oli Guy 🚀, Christian Warning, Martin Bailie, Gray Taylor, James Keyes #RetailInnovation #ConvenienceRetail #SmartStores #AI #RetailTechnology
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What does a truly “smart” store look like in 2026? After reviewing entries from around the world, judges in the Smartest Store in the World competition agreed on one thing: technology alone is not enough. What stood out most to the judges wasn’t flashy technology - it was practical implementation: ✔️ Better labour efficiency ✔️ Smarter operations ✔️ Improved customer experience ✔️ Real commercial results From AI-powered retail operating systems to scalable edge AI deployments, this year’s entries revealed how quickly innovation is moving across global convenience retail. Some fascinating insights from the judging panel in this piece 👇 Read the article here: https://lnkd.in/eEcU8A8p Dan Munford, George Zheng, Brian Gray, Austin Lieb, Naveed Lalani, Tarang Sethia, Kate Ancketill, Oli Guy 🚀, Christian Warning, Martin Bailie, Gray Taylor, James Keyes #RetailInnovation #ConvenienceRetail #SmartStores #AI #RetailTechnology
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Agentic AI is reshaping how shoppers discover and evaluate retailers, shifting loyalty from brands to outcomes. Here are three strategic moves for thinking like an agent in 2026: https://bit.ly/4uUE2Au
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When margins are tight, every decision across retail operations matters more. I’m encouraged by how we’re approaching agentic AI as a practical way to help us simplify complexity, move faster, and unlock efficiency where it can have real impact: https://msft.it/6046vkwak
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Agentic AI is reshaping how shoppers discover and evaluate retailers, shifting loyalty from brands to outcomes. Here are three strategic moves for thinking like an agent in 2026: https://bit.ly/4uC58wx
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Agentic AI is reshaping how shoppers discover and evaluate retailers, shifting loyalty from brands to outcomes. Here are three strategic moves for thinking like an agent in 2026: https://bit.ly/4fegCBy
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When margins are tight, every decision across retail operations matters more. I’m encouraged by how we’re approaching agentic AI as a practical way to help us simplify complexity, move faster, and unlock efficiency where it can have real impact: https://msft.it/6045vXwiJ
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