Integrated Digital Supply Chain: JD Logistics' Intelligent Planning, Algorithm Platform, and Digital Twin Practices

JD Logistics, originally an internal logistics unit for JD.com, spun out in 2017 and listed on the Hong Kong Stock Exchange in 2021, now focuses on technology‑driven supply chain services.

Driven by market changes, JD Logistics built an integrated supply‑chain capability, emphasizing digitalization, algorithmic optimization, and data‑centric decision making.

The digital supply‑chain architecture is divided into three stages: intelligent planning, intelligent scheduling, and intelligent execution, supported by a layered algorithm platform and two engineering platforms (YiBu and Digital Twin).

The algorithm middle‑platform abstracts business scenarios into reusable components, providing over 130 prediction models and 40 algorithm strategies for more than 30 forecasting scenarios across various industries.

YiBu, an engineering platform, enables rapid deployment of prediction models for sales forecasting, improving algorithm engineering efficiency and serving over 7,000 merchants with a 57% increase in development efficiency and ~10% accuracy gains.

The Digital Twin platform creates a virtual replica of the physical logistics network, allowing simulation, optimization, and feedback to the real world, forming a "flywheel" that accelerates decision cycles.

Key system applications include the "Double‑Tower" (Intelligent Planning Tower and Intelligent Scheduling Tower) that optimize network topology, routing, and resource allocation for a nationwide network of thousands of sites.

Case studies demonstrate the platform's impact: a consumer‑goods client reduced logistics costs, improved inventory turnover, and increased fulfillment rates; a spare‑parts manufacturer lowered inventory by 20‑30% and improved supplier on‑time delivery.

For small‑ and medium‑sized enterprises, JD Logistics offers standardized intelligent supply‑chain solutions that have served over 400 merchants, reducing cross‑region shipments by ~12% and enhancing overall efficiency.

The future of the supply‑chain industry emphasizes talent with combined data‑science, AI, and engineering skills, the progression from digital infrastructure to digital twin, and ultimately an ecosystem‑level “industry metaverse”.

Q&A highlights the integration of traditional operations research with deep learning and practical warehouse optimizations such as pick‑path reduction and computer‑vision‑based damage detection.

Overall, JD Logistics' integrated digital supply‑chain system leverages AI, big‑data, and algorithmic platforms to deliver end‑to‑end logistics excellence for both large and mid‑size customers.