ShopperAI

Your biggest AI asset is already installed in your store. You invested millions in CCTV. Today it records footage. Tomorrow it drives revenue💰 ShopperAI upgrades your existing camera infrastructure into always-on store intelligence. - Out-of-stocks detected instantly. - Planograms validated continuously. - Hazards flagged in real time. Real-time alerts go straight to staff handheld devices and store terminals. Replenishment time reduced by more than 70%. Same infrastructure. New operating layer. You don’t install. You activate. Join leading retailers already activating AI on their existing cameras. Leave your details and let’s map this to your tech roadmap>>> https://lnkd.in/dNCD6U68

Boost planogram compliance to 98%. Cut audit time by 87%. Restock 4.5× faster. 10× ROI in the first year. All powered by the store cameras you already have, fully GDPR-compliant, privacy-safe, and trusted by leading retailers worldwide.. No new hardware. No sensors. No risk. ShopperAI 🎦 Smart floors. Great retail. Zero bulls$$t. *And yeah, it’s AI, but we’re on your side. Stop buying buzzwords. Start buying ROI 👇 https://lnkd.in/djJ3UahP

We’re not witnessing digital transformation. We’re witnessing operational replacement. Walmart is no longer “adding tech.” They’re rebuilding the infrastructure of retail around AI agents, the kind that detect, decide, and execute, without humans in the loop. They’ve hired an EVP of AI acceleration, product, and design, reporting directly to the CEO. Their engineers now earn up to $416,000. And in the first half of this year alone, they filed 1,750 H-1B visa requests, a 60% jump from two years ago, mostly for AI, software, and data roles. Walmart is shifting from human coordination to agentic orchestration. And here’s what no one wants to say out loud: The era of the human shopper, the manual shelf check, and the reactive manager is ending. The agent era is already here. Walmart, Amazon, and OpenAI have placed their bets. The only question is who will catch up, and who will be left managing the wreckage. Dashboards are no longer enough. Analytics has become a commodity. What separates winners now is action, not insight. Agentic commerce doesn’t fail at the prompt. It fails at the shelf. Real execution means: Shelf data that’s always-on and API-accessible Agents that complete transactions, not just recommend Retail operations that self-correct, without waiting for staff Walmart is not the exception, they’re the use case. A $600B+ global machine pivoting from physical scale to agentic precision. The future belongs to those who build execution layers, not slide decks.

I had the pleasure of sharing a breakdown of the next shift in commerce, published today in CTech by Calcalist. We're entering the era of agentic commerce, where AI agents are built to operate, not observe. Detection, decision, and delivery are becoming fully autonomous. At ShopperAI, we focus on execution infrastructure that connects shelf data to real-world outcomes, at scale, with speed, and zero friction. This piece outlines why the next category leaders will be those who close the loop between intelligence and action, where performance lives in the physical world, not just the dashboard. Link to the full article in the comments. Shoham Levy | Alon Barak | Ohad Zadok | Daniel Muller, PhD | Nir Gadassy | Tal Homsky | Nir Ben Attia #AgenticCommerce #RetailTech #AIExecution #FutureOfCommerce #FoundersMindset

60% of retail SKUs are inaccurate, costing the industry $1.77 trillion a year. A price tag says one thing, the system says another. The product’s in-store, but not on the shelf. How many sales are lost each week because the shelf says $5.99 and the register says $7.49? Why are we still guessing what’s on the shelf in 2025?

Every VC is chasing ARR. The durable edge is NDR. ARR makes for a great headline, but NDR is what proves endurance: existing customers not only stay, they expand, because the value compounds. Look at Uber, Airbnb, Google. Each built a two-sided monetization model: Uber: riders pay for rides, drivers pay for access. Airbnb: guests pay to stay, hosts pay to list. Google: users get free search, advertisers fund the growth. That’s why their retention is bulletproof. Two-sided monetization fuels NDR, and NDR is what builds defensibility. In retail tech, the same mechanics are now in play: Retail chains pay to eliminate lost sales through real-time shelf visibility. CPG brands pay for the data they’ve never had, availability, share-of-shelf, and OOS truth. One dataset, Two payers, compounding ROI. Monetize one side, you grow. Monetize both sides, you dominate. #VCEdge #TwoSidedMonetization #RetailTech #ROI #ARR #NDR