Blog

Last month, a home goods supplier called me at midnight, desperate: 'Lao Wang, this digital ops system is driving me crazy! Constant alerts, complaining staff, slower orders. I spent a fortune to feel held hostage by data?' Today, I want to share what I learned over six months: the real problem isn't the technology, it's our own management thinking and team execution lagging behind.

Last month, Mr. Chen, who runs a maternal and baby products business, excitedly showed me his newly 'adopted' AI Agent, boasting it could handle orders and predict inventory automatically, like a smart pet. Two weeks later, this 'pet' mixed up the restocking logic for baby formula and diapers, nearly causing a stockout. Today, I want to share how that 'AI pet mishap' taught me over six months that the common pain points in the AI Agent industry aren't about low 'IQ' technology, but about us not learning how to 'teach' it properly.

Last autumn, Old Lin, who runs a toy OEM factory, came to me looking utterly defeated. ‘Lao Wang, my factory is dying. Customers are always chasing, materials are always out of stock, the warehouse is full of semi-finished goods, and cash flow is about to break. They said digitalization could save me, but after investing, I feel like I'm dying faster.’ Today, I want to talk about how that ‘life-or-death rescue’ mission taught me over eight months that successful supply chain digital transformation isn't about just ‘changing a system’—it forces you to completely change the way you run your entire business.

Last month, Mr. Zhao, who imports wine, excitedly showed me a demo video of 'AI-powered restocking prediction'—it automatically forecasted sales and placed orders like magic. After using it for a month, his warehouse was flooded with unsold wine, nearly breaking his cash flow. Today, I want to share how that 'AI magic trick' taught me over six months that 2026 AI trends aren't about chasing flashy tech tricks, but finding your business's true, healthy heartbeat.

Six months ago, a pet food supplier proudly showed me his new 'AI smart inventory camera,' claiming it would double efficiency by replacing manual counting. The first month, it counted all dog food flavors as one, throwing inventory into chaos. Today, I want to share how that 'AI counting disaster' taught me over half a year: using AI to boost operational efficiency isn't about buying a 'smarter machine' to replace people—it's about upgrading our own 'management mindset' first.

Last month, a pet supplies boss showed me his new AI Agent, boasting it could handle orders and predict stock like a smart pet. Two weeks later, it shipped cat litter with cat food, causing a customer service nightmare. Today I want to share how that 'AI pet disaster' taught me over six months that AI Agent best practices aren't about just feeding data—it's about teaching it the 'rules of being human' first.