As the Spring Festival approaches, the consumption of New Year goods is reaching its peak, and an AI-driven supply chain revolution is quietly taking place. JD.com has recently officially launched the industry's first "AI New Year Goods Map" system and made it freely available to all merchants. This system integrates big data forecasting with intelligent decision-making capabilities, accurately predicting regional consumer preferences and dynamically guiding merchants to pre-deploy products to the nearest warehouses to consumers, fundamentally redefining the efficiency of New Year goods distribution.

Traditional New Year goods inventory often relies on experience, which can lead to shortages in popular areas and excess stock in less popular regions. The "AI New Year Goods Map," however, uses data as its eyes and algorithms as its brain, analyzing multi-dimensional signals such as historical sales, regional climate, population mobility, and social trends in real time to predict the demand intensity for New Year goods categories such as preserved meats, gift boxes, kitchenware, and home appliances weeks in advance. Based on this, the system automatically generates intelligent warehouse allocation recommendations, guiding merchants to concentrate resources and reduce scattered distribution, ensuring that "goods find people" rather than "people wait for goods."

A Guangdong-based kitchenware brand became one of the first beneficiaries. After connecting to the system, its best-selling cookware was precisely placed in the core warehouse cluster in South China. This not only significantly reduced cross-regional transfers but also improved next-day delivery timeliness by 14%, and the optimized delivery experience led to a staggering 389% increase in orders — these figures prove that AI-driven supply chains are no longer cost centers but growth engines.

This system does not operate in isolation but is deeply integrated into JD.com's intelligent logistics system: relying on the "JD Brain" large model for macro-level demand forecasting, while also collaborating with the "Wolf Clan" warehouse robots to achieve efficient picking and scheduling within the warehouse, forming a full-chain closed loop from prediction, warehouse allocation to fulfillment. Merchants can also monitor the national product distribution, inventory turnover, and fulfillment metrics in real time through a visual interface and flexibly adjust their strategies.

During the Spring Festival, the most complex and intensive logistics scenario of the year, JD.com transforms uncertainty into calculable and schedulable certainty with the "AI New Year Goods Map." This is not just a technological upgrade, but a redefinition of retail infrastructure — when AI can anticipate which pot you need for your New Year's Eve dinner, the warmth of New Year goods has already arrived ahead of time.