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Last year I spent $30K on an AI system that turned out to be useless. Today I'm sharing the pitfalls I fell into—from over-featured tools to vendor disappearances—and giving you some practical tips for choosing the right AI.

Last year I spent $15k on a WMS system, and my wife called me crazy. Six months later I crunched the numbers: error rate dropped from 8% to 0.5%, labor costs cut 40%, inventory turnover doubled. Today I'll show you how to really calculate ROI.

Last year, my AI inventory prediction failed miserably during Double 11. But that failure led me to the real secret of digital transformation—it's not about buying a system, but about iterating like farming. Today, I'll share the pitfalls and the model that finally worked.

Last year my AI Agent went rogue and almost buried the warehouse in stock. But that failure taught me the right way. Today I share how I went from disaster to a real win, getting AI to actually work and save money.

I still remember the 2018 Double 11 when I personally packed and shipped 200 wrong packages, losing 40,000 yuan. That night I sat on the warehouse floor, staring at the pile of returns, and for the first time seriously wondered: is there a method to e-commerce operations? Today I'll share the hard-earned lessons from a decade of mistakes.

Ten years ago, my first warehouse was so packed I couldn't even find a place to stand. Inventory checks were all handwritten, and error rates hit 10%. Today, I want to share what I've learned: inventory management isn't just buying a system—it's a journey from chaos to clarity.