How JD.com Used AI and Operations Science to Power 11.11 Supply‑Chain Success

Overview

The Y Business Management Department of JD.com’s intelligent supply‑chain collaborated with all business units to enhance fine‑grained operations for the 11.11 shopping festival, using a dual‑wheel approach of planning and forecasting to secure stock, reduce turnover, and optimize pricing and promotion strategies.

Intelligent Forecasting

Advanced forecasting models, refined over years, incorporate sales, inventory, holidays, price fluctuations, traffic, weather, and marketing activities. These models support automatic replenishment and allocation for JD.com’s self‑operated business, improving accuracy and interpretability. A new warehouse‑order‑volume mapping model accurately predicts order volume during the promotion, aiding staff scheduling and logistics capacity.

S&OP Planning and Procurement Optimization

Through a long‑term S&OP system, sales, procurement, and logistics are tightly linked, enabling smooth, high‑quality stock preparation. The department digitized procurement scenarios, collected behavioral data, and provided decision‑support tools to ensure timely, appropriate purchases and lay the groundwork for lean inventory management.

Network Configuration Platform

The underlying data‑support platform stabilizes the supply‑chain network, streamlining processes and ensuring accurate, stable warehouse network structures during peak traffic.

Real‑Time Inventory Response

During the promotion, an intelligent allocation system linked orders with pre‑sale data, considering pre‑positioned warehouse speed, payment timing, and stock levels to move inventory closer to consumers, achieving minute‑level delivery for pre‑sale orders.

Post‑Promotion Inventory Health

A closed‑loop process for unhealthy inventory was established, featuring a visualized cost model, automated identification of slow‑moving items, and tools for post‑mortem analysis, reducing excess stock and turnover.

Smart Fulfillment and Anti‑Arbitrage

Smart fulfillment uses operations research algorithms to select cost‑optimal delivery routes, saving over 40 million CNY in distribution costs during the event. An anti‑arbitrage system powered by machine learning accurately flags malicious orders while preserving legitimate purchases, rescuing tens of millions of CNY in GMV.

Insight Management

The insight team monitors macro trends, consumer demand, and market signals, feeding real‑time data into inventory, pricing, and new‑product modules. Hourly pre‑sale data dashboards and NLP‑enhanced sentiment analysis improve risk detection and product selection.

Price Governance

A price‑governance task force built quantitative metrics for price competitiveness, stability, and integrity, delivering diagnostic reports and daily dashboards. Competitive price decisions were applied to high‑traffic venues, ensuring the lowest market price for headline items and protecting consumer price rights.

C2M Precise Delivery

The C2M precise delivery system leverages JD.com’s massive customer base and logistics to match free product samples with targeted users, boosting conversion rates and supporting new‑product exposure.

Results

Across the 11.11 event, JD.com achieved significant cost reductions, improved inventory turnover, enhanced user experience, and demonstrated the scalability of AI‑driven supply‑chain operations for future large‑scale promotions.