The AI Collision in Supply Chains
Starbucks scrapped its AI inventory tool after nine months. Nine months. The ordering system that tool was supposed to sharpen had taken years to roll out across thousands of stores, and the most app-loyal retailer…
Supply Chain Blog
Starbucks scrapped its AI inventory tool after nine months. Nine months. The ordering system that tool was supposed to sharpen had taken years to roll out across thousands of stores, and the most app-loyal retailer…
The $300,000 Tool Nobody Uses Last November, a mid-market manufacturer rolled out an AI powered demand forecasting tool across three divisions. The vendor promised 15 percent inventory reduction within six months. The algorithm was solid….
RFID is no longer just a barcode replacement. It is becoming a strategic supply chain technology. Photo: Pexels. In 2003, Walmart told its top 100 suppliers to put RFID tags on every pallet shipped to…
For decades, supply chain risk management followed a predictable formula. Map your tier-1 suppliers, stock safety inventory, insure your freight, and update the business continuity plan once a year. It worked well enough for a…
When the boardroom goes AI-first, the supply chain function needs to be ready with data, models, and a clear strategy.
Four days. That is how long it took for the cybersecurity community to confirm that ServiceNow’s unauthenticated API flaw was not a theoretical risk but an active exploit vector. And in those four days, countless…
The factory floor has always been a place of physics: conveyor belts moving at fixed speeds, robotic arms executing the same weld 10,000 times, and inventory stacked in rows that obey the laws of gravity,…
ord Motor Company recently hired 350 veteran engineers (some former employees, others drawn from suppliers) after artificial intelligence and automated quality systems failed to deliver the expected results. The company calls them “gray beard” engineers,…
When people talk about artificial intelligence, the conversation almost always centers on the technology itself. Better GPUs, larger models, more training data, breakthrough algorithms, and top AI talent dominate headlines and venture capital pitches. But…