Blog

Last year I helped an e-commerce warehouse deploy AI inventory forecasting. The algorithm ran smoothly, but the warehouse got messier. I later realized it wasn't AI's fault—we hadn't cleaned our data. Today I share my hard lessons on why digital transformation fails for SMBs.

Last year, a client's finance manager asked me how I ensure their inventory data stays separate from others. I was stumped. Later, I designed a multi-tenant isolation solution in ShineCang and helped them calculate ROI. Here's the story.

Last year I spent 300K on a traditional WMS, only to make my warehouse messier. This year I rebuilt it with SaaS, and realized tech selection is like choosing a spouse—only you know what fits. Here's my 2026 tech selection horror story.

Last month I finally ran the ROI calculator in Flash WMS, and even I was stunned. Our warehouse was bleeding over 200K yuan annually without us knowing. The system paid for itself in six months. Let me share the real numbers and the design story behind this feature.

Last year I rebuilt the core modules of FlashCang WMS from scratch, falling into countless pitfalls. Today I share engineering practices that no textbook teaches—earned through code and sweat.

Last year, I helped a machine parts factory analyze their inventory and found they were wasting enough money on expired parts and emergency orders to buy two WMS systems. Then I used an AI model to redesign their replenishment strategy, and within three months, inventory turnover improved by 40%. Today, let's talk about cost-benefit analysis in manufacturing inventory management and why AI is no longer just a nice-to-have, but a must-have for crunching numbers.