Dynamic Demand Forecasting System in Beta! HMS Helps Wholesalers Accurately Capture Global Vintage Trending Items
July 8, 2025 · Huanmao Frontline Express
HMS, an independent online platform, has developed an AI-powered product selection tool that integrates various dimensions such as trending lists from mainstream social media platforms like TikTok, climate data from key Secondhand Clothing Markets, and consumer preferences in different regions to forecast the demand for secondhand clothing in various countries. Currently, the system can provide a one-month advance warning of surging demand for "thickened baseball jackets" during the 2025 winter season in South America. A Chilean wholesaler collaborating with HMS decided to purchase a batch of jacket inventory based on this prediction. To be cautious, the wholesaler opted for a small batch purchase to address the forecasted situation. With the new product selection tool, the turnover rate per item is expected to increase to 5.8 times per quarter.
Unlike traditional B2B platform tools, this system supports "regional customized recommendations." For example, when logging in from Southeast Asia, the platform page will automatically prioritize displaying sun-protective material bags and clothing. Users can also manually filter out product styles that do not match their country's preferences. According to HMS's internal beta data, the wholesaler procurement matching rate is expected to jump from 38% to 89%, and the supplier matching rate will also significantly improve.
"Algorithms are reconstructing supply models across various industries, including the secondhand supply chain," noted the HMS technical lead. "We have trained prediction models specifically for niche categories such as vintage denim and designer handbags. Currently, it is only for internal use by HMS. In the future, we plan to open up this tool to those who need it, which can reduce the time cost of product selection, improve the overall efficiency of the team, and provide wholesalers with a more convenient supply solution.






