AI does not close the gap between a great demo and your actual stack. That gap is almost always a data foundation problem. New post from Alive Labs breaks down what to fix first: alivelabs.io/insights/fix-yo… #AIstrategy #MartechData

AI does not fix weak data foundations. It amplifies their consequences at speed and scale. The correct sequence: foundation first, then automation. #AIstrategy #MartechData #MarketingOps

Aramark just deployed 39 camera-based checkouts across six concession stands at Williams-Brice Stadium. Not a pilot. Not a proof of concept. A rollout. This matters because stadium concessions are the hardest test case for checkout automation. Thirty seconds between plays. Fifty

AI handles discovery. Humans handle belonging. Target's opening 600 beauty studios. Foot Locker's building sneaker community hubs. Retailers understand what's happening, they're investing in the relationship layer. #retail #experientialcommerce

Three separate acquisitions and product launches this week all arrived at the same architectural decision: keep video processed on-site, discard the person, retain only the aggregate signal. GreyOrange buying Site Bionics. #RetailAI #EdgeComputing

Inventory robots aren't about replacing shelf-stockers. They're about giving your replenishment engine ground truth. Tally rolls through a Fred Meyer aisle, camera array scanning shelf tags and product placement in real time. #retail #inventory

Most AI marketing agent deployments fail because the buyer skipped the spec work, not because the tech underperformed. Named task. Named owner. Written success metric. All three before you sign. #AIagents #MarketingOps #B2BAI

If your product data has to be manually re-entered for every system that touches a launch, you do not have a speed problem. You have an architecture problem. We wrote up what the fix looks like: alivelabs.io/insights/how-do… #AgenticAI #ProductEnrichment

Your storefront probably can't complete an AI agent purchase end-to-end. InMobi scanned 3 million US e-commerce sites. 64% failed because inventory systems don't connect to payment systems, payment systems don't connect to fulfillment, and nothing connects to the agent. This is

Your competitor's field team just became a data collection unit. Coca-Cola, AB InBev, Kraft Heinz, and their distributors are putting AI cameras in the hands of merchandisers. These aren't scanning for compliance anymore. #retail #supplychain

A typical NPI production cycle stretches 4 to 6 weeks of calendar time. The actual decision-making inside that window: a few days. The rest is waiting, re-explaining, and fixing drift between systems. #ProductOps #NPILaunch #AIAgents

Certification is how AI gets into 55,000 stores without anyone writing a press release about it. #retail #AIinfrastructure

Slow NPI launches are not a capacity problem. They are a context problem. The same product data gets re-entered for every downstream system, compounding drift with each handoff. There is a better architecture. Read how it works: alivelabs.io/insights/how-do… #NPILaunch #AgenticAI

Slow NPI launches are not a capacity problem. They are a context problem. The same product data gets re-entered, reformatted, and re-explained for every downstream system. Parallel agents on a shared record fix that. We wrote up the… #AgenticAI #NPILaunch #ProductOps

Before you buy an agentic marketing platform, read how Databricks built governed self-service analytics first and got a 3x lift in data usage. Six architecture lessons worth studying: alivelabs.io/insights/6-less… #B2BMarketing #AIStrategy #MarketingAnalytics

Your store ops team spends 40% of their time pulling reports instead of fixing problems. Natural language interfaces sitting on top of live operational data are changing that. A manager asks their system "why did transaction times spike at 2pm yesterday" and gets an answer in

Grocers are quietly teaching the rest of us a lesson about agentic AI: the hard part isn't the model, it's the gap between the physical store and the digital cart. Look at what Kroger, Giant Eagle and DoorDash are actually building. #AgenticAI #RetailTech

Across retail tech this week, every system is solving the same problem from a different angle: a store sees everything and knows almost nothing. StrataVision turns camera feeds into operational decisions. #RetailTech #SpatialIntelligence

The grocery industry just figured out what most software teams haven't: agentic AI lives between two worlds, not in one. Kroger, Giant Eagle, DoorDash. They're not building chatbots that answer questions about inventory.

Ungoverned self-service analytics produces confident wrong answers. A marketer who pulls a number that contradicts finance will stop trusting the tool inside a week. Governance is what makes adoption stick. #DataGovernance #MarketingOps