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17 articles

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Sep 2, 2025 · Operations

How Data Science Transforms Intelligent Supply Chains: Theory and Real‑World Cases

This article introduces the book “Intelligent Supply Chain: Data Science Theory and Practice”, outlining how data science drives end‑to‑end supply‑chain optimization through real‑world case studies, covering topics from data preprocessing to advanced modeling, delivery efficiency, and customer‑service forecasting.

Data ScienceLogistics OptimizationSupply Chain

0 likes · 9 min read

How Data Science Transforms Intelligent Supply Chains: Theory and Real‑World Cases

JD Tech Talk

Aug 5, 2025 · Artificial Intelligence

How AI is Revolutionizing Supply Chains: JD.com's Billion‑Scale Time‑Series Model

The article details JD.com’s AI‑driven supply‑chain innovations, including a billion‑scale pure time‑series model, advanced demand forecasting, intelligent inventory selection, and end‑to‑end allocation algorithms that dramatically improve efficiency, cost, and global supply‑chain transformation.

AIData-drivenLogistics Optimization

0 likes · 10 min read

How AI is Revolutionizing Supply Chains: JD.com's Billion‑Scale Time‑Series Model

JD Retail Technology

Jul 31, 2025 · Artificial Intelligence

How AI is Revolutionizing Supply Chains: JD.com’s Billion‑Parameter Time‑Series Model

At the 2025 AI Innovation & Entrepreneurship Conference in Hangzhou, JD.com’s chief scientists unveiled a billion‑parameter time‑series large model and end‑to‑end inventory algorithms that dramatically boost demand forecasting, dynamic allocation, and overall supply‑chain efficiency, illustrating how AI can transform global logistics networks.

AIData‑Driven Decision MakingLarge Model

0 likes · 10 min read

How AI is Revolutionizing Supply Chains: JD.com’s Billion‑Parameter Time‑Series Model

Dual-Track Product Journal

Jun 27, 2025 · Operations

How Smart Order Routing Cuts Costs and Boosts Delivery Speed in E‑commerce

This article explains the concept, architecture, core modules, decision process, and practical strategies of intelligent order routing in e‑commerce, showing how real‑time data and rule‑based optimization can reduce costs, shorten delivery times, balance inventory, and enhance customer experience.

Logistics OptimizationOperationse‑commerce

0 likes · 7 min read

How Smart Order Routing Cuts Costs and Boosts Delivery Speed in E‑commerce

Old Zhao – Management Systems Only

May 12, 2025 · Operations

How to Achieve True Supply Chain Systemization: Key Steps and Best Practices

This article explains what supply chain systemization truly means, outlines the core procurement, warehouse, logistics, and sales processes, and provides practical steps for designing, integrating, automating, and continuously improving a unified supply chain management system.

Logistics OptimizationSupply Chainprocess automation

0 likes · 13 min read

How to Achieve True Supply Chain Systemization: Key Steps and Best Practices

JD Cloud Developers

Jan 13, 2025 · Backend Development

How JD Logistics Optimizes Order Merging with Recursive Algorithms

This article explains the background, challenges, and recursive algorithmic solution JD Logistics uses to merge purchase orders, detailing the merging rules, code implementation, deduplication strategy, performance gains, and the resulting operational benefits such as increased merchant satisfaction and faster processing.

JavaLogistics OptimizationRecursive Algorithm

0 likes · 11 min read

How JD Logistics Optimizes Order Merging with Recursive Algorithms

DataFunSummit

Nov 27, 2024 · Operations

Operations Research Methods for Large-Scale Supply Chain Logistics Optimization

The article explains how operations research techniques such as column generation and partition solving can optimize large‑scale supply‑chain logistics networks, detailing model formulation, constraints, computational challenges, and the benefits of generating high‑quality initial solutions for faster convergence.

Logistics OptimizationSupply Chaincolumn generation

0 likes · 10 min read

Operations Research Methods for Large-Scale Supply Chain Logistics Optimization

DataFunSummit

Nov 19, 2024 · Operations

Operations‑Research Methods for Large‑Scale Supply‑Chain Network Optimization

This article explains how operations‑research techniques such as mixed‑integer programming, column generation, and partitioned solving are applied to large‑scale supply‑chain network design, illustrating model formulation, constraints, computational challenges, and the benefits of generating high‑quality initial solutions for faster convergence.

Logistics OptimizationSupply Chaincolumn generation

0 likes · 11 min read

Operations‑Research Methods for Large‑Scale Supply‑Chain Network Optimization

Model Perspective

Jul 14, 2024 · Operations

Optimizing Central Kitchen Deliveries with a Practical VRP Model

This article introduces the classic Vehicle Routing Problem (VRP) model, detailing its decision variables, objective function, and constraints, and demonstrates its application to a central kitchen distribution scenario with three trucks serving ten outlets, highlighting how linear programming or heuristics can minimize travel distance and cost.

Central KitchenLogistics OptimizationVehicle Routing Problem

0 likes · 4 min read

Optimizing Central Kitchen Deliveries with a Practical VRP Model

DataFunSummit

Apr 13, 2022 · Operations

Integrated Digital Supply Chain at JD Logistics: Architecture, Practices, and Future Directions

This article examines JD Logistics' integrated digital supply chain, detailing its evolution, the construction of a multi‑stage intelligent planning system, algorithm and engineering platforms, digital twin applications, real‑world case studies, and insights into future talent and ecosystem development.

AIAlgorithm PlatformDigital Twin

0 likes · 16 min read

Integrated Digital Supply Chain at JD Logistics: Architecture, Practices, and Future Directions

Shopee Tech Team

Dec 16, 2021 · Industry Insights

How Shopee Leverages Technology to Transform E‑Commerce in Southeast Asia

This article details Shopee's technical innovations—from logistics scheduling, address standardization, and fresh‑food expiry management to live‑streaming infrastructure, search scaling, real‑time data synchronization, chatbot analytics, and high‑throughput payment and order systems—showcasing how engineering breakthroughs power its 11.11 mega‑sale.

Logistics Optimizationcloud infrastructuredata synchronization

0 likes · 10 min read

How Shopee Leverages Technology to Transform E‑Commerce in Southeast Asia

Huolala Tech

Jun 25, 2021 · Artificial Intelligence

How Optimizing Information Disclosure Boosts Efficiency in Mobility‑On‑Demand Platforms

An in‑depth review of the award‑winning KDD paper reveals how a novel information‑disclosure framework, built on multinormal logit modeling and edge‑cutting optimization, dramatically improves driver, user, and platform efficiency in mobility‑on‑demand logistics systems.

AI modelingLogistics Optimizationinformation disclosure

0 likes · 9 min read

How Optimizing Information Disclosure Boosts Efficiency in Mobility‑On‑Demand Platforms

Suning Technology

Feb 20, 2021 · Operations

Optimizing Store Fulfillment: Fast‑Pick Warehouses vs Hanging Chains

This report analyzes the rapidly growing O2O home‑delivery market, comparing fast‑pick warehouse and hanging‑chain fulfillment models, and provides detailed operational, inventory, staffing, and IT system design recommendations to reduce costs and boost efficiency.

Logistics OptimizationO2Ofast-pick warehouse

0 likes · 12 min read

Optimizing Store Fulfillment: Fast‑Pick Warehouses vs Hanging Chains

ITPUB

Jul 10, 2020 · Backend Development

How RocketMQ Cut Costs and Stabilized Alibaba Logistics During Double‑11

Facing soaring order peaks each Double‑11, Alibaba's logistics arm re‑engineered its architecture with RocketMQ, using asynchronous decoupling to handle payment‑order traffic, dramatically reduce hardware spend, and keep logistics QPS stable without sacrificing user experience.

AlibabaBackend ArchitectureCost reduction

0 likes · 7 min read

How RocketMQ Cut Costs and Stabilized Alibaba Logistics During Double‑11

Alibaba Cloud Developer

Oct 11, 2018 · Operations

Can You Solve Alibaba’s ‘Fastest Delivery’ Network‑Flow Challenge?

Alibaba’s global math competition invites participants to tackle real‑world logistics puzzles, such as the “Fastest Delivery for Couriers” network‑flow problem, while showcasing how mathematical modeling and algorithms can boost delivery efficiency by up to 30 % and highlighting the role of AI in grading.

Logistics OptimizationOperations Researchalgorithmic modeling

0 likes · 8 min read

Can You Solve Alibaba’s ‘Fastest Delivery’ Network‑Flow Challenge?

Alibaba Cloud Developer

Jul 13, 2017 · Artificial Intelligence

How STARK VRP Cuts Chinese Logistics Costs with AI‑Powered Routing

This article explains how Alibaba's Cainiao network built the STARK VRP engine—an AI‑driven, distributed vehicle‑routing solver that supports dozens of VRP variants, leverages metaheuristics, parallel island models, and deep reinforcement learning to dramatically reduce fleet size and travel distance in Chinese logistics.

AILogistics OptimizationMetaheuristics

0 likes · 8 min read

How STARK VRP Cuts Chinese Logistics Costs with AI‑Powered Routing

Meituan Technology Team

Aug 5, 2016 · Big Data

Takeaway Big Data Optimization Strategies

Meituan’s delivery team leverages massive real‑time data mining, distributed parallel optimization and a simulation platform to intelligently assign orders, boost rider efficiency, cut costs, and continuously refine algorithms, while integrating offline‑online learning and upstream‑downstream coordination to enhance overall logistics performance.

AI in deliveryLogistics Optimizationdistributed computing

0 likes · 9 min read

Takeaway Big Data Optimization Strategies