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Nov 06, 2024

Zhilang handling AGV - JD Corporate Blog

JD Logistics (also known as JINGDONG Logistics) announced today at CeMAT ASIA 2024 its latest Goods-to-Person (GTP) automated warehousing innovation, the “Zhilang” solution. Meaning “Intelligent

JD Logistics (also known as JINGDONG Logistics) announced today at CeMAT ASIA 2024 its latest Goods-to-Person (GTP) automated warehousing innovation, the “Zhilang” solution. Meaning “Intelligent Wolf”, Zhilang is a proprietary system that improves picking efficiency by over three times compared to traditional methods. This advanced system is already supporting operations during the Singles Day Grand Promotion.

The Zhilang GTP solution combines several technologies, including handling AGVs, lifting robots, and shelving systems, along with automated inbound and picking workstations and an empty tote reflow line. Leveraging warehouse height, Zhilang increases storage density to 2.5 times the industry average for facilities up to 10 meters high.

The system’s modular design enables handling AGVs and lifting robots to operate independently. Powered by JD Logistics’ self-developed “upper tote storage and lower picking scenarios” algorithm and “buffer storage” technology, the network is fully flexible for optimized routing. The high-precision navigation algorithm, dual-direction laser obstacle detection technology, and vision-based verification ensure precise retrieval with minimal error. Additionally, Zhilang’s payback period is 30% shorter than comparable solutions.

Currently, nearly 100 Zhilang AGVs and lifting robots are in operation at an intelligent logistics park in Beijing, handling nearly a million items, from tops to shoes. With a click, pickers receive requested items directly from the robots, enabling a seamless, automated order fulfillment process from inbound to outbound.

JD Logistics continues to advance logistics operations with a wide array of solutions, including the the Tianlang Tote Shuttle GTP system, Dilang AGV GTP system, Four-way Pallet Shuttle Storage system, Auto Remin Wall, and the Aidong mobile data terminal. In terms of software, JD Logistics’ WCS (warehouse control system), WES (warehouse execution system), RMS (robotics management system), 3D SCADA (3D supervisory control and data acquisition), and Lomir intelligent logistics park management platform, are used in over 1,600 JD-operated warehouses and client facilities.

As JD Logistics expands globally, its solutions now serve thousands of corporate clients across dozens of countries and regions, including Poland, the Netherlands, Germany, South Korea, the United States, and throughout Southeast Asia, the Middle East, and beyond.

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By 9:00 PM on October 31, JD.com’s Singles Day Grand Promotion (also known as Double 11), recorded year-on-year double-digit growth in transaction volume, orders, and user numbers, measured from 8:00 PM on October 14 to 9:00 PM on October 31 compared to the same period last year. Midway through the shopping festival, over 16,000 brands achieved 300% year-on-year growth in transaction volume. The number of brands exceeding RMB 100 million in sales increased by over 400% year-on-year (YoY), while more than 17,000 merchants saw their order volumes increase five times compared to last year.

With this year’s festival theme, “Affordability and Quality,” JD.com’s “10-billion-yuan discount” program expanded its product selection more than fourfold YoY, drawing a high volume of users. Apparel and cosmetics saw a surge, with new users rising over 140% YoY, while supermarket orders increased by more than 40%. Consumer electronics and home appliances set new sales records, while JD’s livestream channel saw a 245% increase in orders YoY.

JD.com’s reach has extended into China’s rural areas. Supported by continued investment in logistics infrastructure, transaction volume in rural and county areas grew by over 50% YoY. And over 90% of counties have utilized trade-in services.

As November begins, the Singles Day Grand Promotion will continue with additional campaigns and sales activities, concluding on November 11.

Key Data Highlights from 8:00 PM October 14 to 9:00 PM October 31, 2024:

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