Category: Supply Chain Operations
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$9 Billion for Nothing: the Stealth AI Bet That Reaches Your Loading Dock
Six labs most supply chain professionals have never heard of have raised $15.56 billion. 58% of it went to two labs that have shipped nothing at all.
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I Let AI Agents Play a 5-Year Beer Game: Why Sharing Data Beat Buying a Smarter Model
I ran the classic Beer Game for 260 weeks with AI agents in the chairs. Giving the chain real customer demand cut in-game cost by up to 40 percent, far more than paying for a smarter model did.
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Your Exception Report Is Lying to You: How to Make ‘1% False Alarms’ Actually Mean 1%
A static ±3σ band promised 0.27% false alarms and delivered 3.80%. Here is how to turn your exception threshold from a statistics setting into an honest attention budget.
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Factory Physics: The Laws Your Factory Floor Already Obeys
Throughput, WIP, and cycle time aren’t three dials you can set independently. They’re bound by physics, and ignoring that costs you weeks of lead time.
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S&OP: Everyone Signed Off on the Number. It Was Still Wrong by 8.2%.
A consensus forecast measures agreement, not truth. Here is what a textbook S&OP cycle looks like, why the signed-off number still ran 8.2% high, and the four moves that fix it without a full process overhaul.
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I Gave an AI Agent the Reorder Button: It Rebuilt the Bullwhip in 250 Days
An AI agent with the reorder button hit ~100% fill rate and looked like a star. Then I measured what it dumped on its suppliers.
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Where Should Your Warehouse Be? 12 Lines of R Code Have the Answer
Most companies pick warehouse locations based on gut feel, real estate deals, or where the CEO lives. The optimal location — the one that minimizes total weighted transport cost — can be found with 12 lines of R code. The answer is rarely where you think.
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When S&OP Fails: A Data-Driven Survival Guide for Production Planners
Only 15% of companies run S&OP successfully. For the other 85%, here’s a data-driven toolkit that lets production planners bypass the broken process.