An MCN Ran Every Stream Through AI

Prep time fell about 70% and gross merchandise value still rose 39%, which is the rare combination.

Yaowang Technology reported first-half Double 11 gross merchandise value up 39% year on year, with AI compressing product selection, quality control and content planning from seven to ten days down to one or two, cutting overall preparation time by roughly 70% and lifting conversion about 40%. Post-stream review fell from three days to four hours, with decision dashboards produced in as little as fifteen minutes, and about 80% of repetitive work moved to machines. The organisational implication is the real story: MCN competition shifts from stacking session count and hours toward back-office efficiency and replicability, a division of labour in which people do creative work and machines do execution.