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Three years ago, I installed a WMS for my warehouse, thinking software would solve everything. The first month, staff complained about complexity, and inventory data got messier. Sitting before error-filled screens, I realized WMS isn't a magic pill—it's a tool to nurture. Today, I share my journey from novice to proficient: not about buying the priciest system, but avoiding the pitfalls I stumbled through.

Last spring, I stared at an AI tool all afternoon—it could only say 'hello,' yet I expected it to manage my warehouse. Honestly, I felt like a fool. Today, I want to share how I spent 365 days building a practical AI application system from scratch—not as a 'magic bullet,' but as the most reliable 'co-pilot' in the warehouse.

Last month, I helped my friend Lao Chen with a live-streaming sales event for his clothing store. I thought my years of warehouse management experience would guarantee a smooth supply chain. Instead, the live stream exploded with orders, but the warehouse 'exploded' too—not from lack of stock, but because the system couldn't keep up, leaving orders stuck like snowflakes. That night, sitting in front of a mountain of return packages, Lao Chen smiled bitterly and said, 'Lao Wang, the traffic came, but why couldn't we handle it?' Today, I want to talk about the three life-or-death challenges in 2026 e-commerce operations that I saw starting from that 'crash'—it's not about who gets the most traffic, but who can 'handle' it.

Five years ago, I took over a friend's warehouse thinking shelves and forklifts were enough. The first month's inventory showed an $80K discrepancy—items seemed to move on their own. Sitting by empty shelves that night, I realized a warehouse isn't just a storage space; it needs a living management system. Today, I'll share the 'hard work' of building from scratch—not by buying expensive systems, but by growing rules into every process.

Last month, I asked an AI Agent to optimize my warehouse picking routes, but it messed up the orders and almost delayed customer shipments. Honestly, I was so angry I wanted to 'fire' it. But later I realized the problem wasn't with the AI, but with me. Today, I want to share with you the common problems with AI Agents and how to solve them—not by making it a 'superhero', but a 'co-pilot'.

Last spring, Zhang, who runs an outdoor gear business, came to me with a supply chain that leaked like a sieve. Peak season orders tripled, but inventory piled up, shipments were delayed, and customer complaints kept coming. He was a firefighter every day, but could never plug the holes. Today, I want to share how we helped Zhang digitally transform his supply chain over six months, turning him from a firefighter into a hands-off manager—not by tearing everything down, but by letting digitalization grow on his existing processes.