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JD.com

128 articles · Page 1 of 2
JD Retail Technology
JD Retail Technology
Jul 13, 2026 · Artificial Intelligence

Inside JD’s Oxygen AIIC: An Industrial‑Scale LLM/VLM‑Powered Product Knowledge Platform for Billions of SKUs

JD’s Oxygen AIIC combines human‑in‑the‑loop ontology engineering, a semantic search‑then‑discrimination pipeline, and a self‑evolving multi‑task LLM/VLM model to produce high‑quality product knowledge for over a hundred thousand categories and billions of daily SKU updates, boosting search coverage to 80%, attribute auto‑fill to over 80%, cutting quality issues by 37% and raising click‑through by 9% while achieving 94.2% precision and 82.8% recall.

JD.comKnowledge GraphLLM
0 likes · 21 min read
Inside JD’s Oxygen AIIC: An Industrial‑Scale LLM/VLM‑Powered Product Knowledge Platform for Billions of SKUs
JD Tech
JD Tech
Aug 25, 2025 · Artificial Intelligence

How JD’s Large‑Model Tools are Shaping AI in Enterprise: Insights & Roadmap

JD’s recent technical salon reveals the rapid evolution of large‑model tools, detailing industry trends, JD’s JoyAI ecosystem—including JoyAgent, OxyGent and JoyCode—real‑world applications across office, code review, logistics and local services, and future policy and multi‑agent visions.

AI ApplicationsAI ToolsAgent platforms
0 likes · 13 min read
How JD’s Large‑Model Tools are Shaping AI in Enterprise: Insights & Roadmap
JD Cloud Developers
JD Cloud Developers
Aug 22, 2025 · Artificial Intelligence

Unlocking AI Productivity: Inside JD’s Large‑Model Tool Innovations

JD’s internal technical salon reveals the rapid evolution of large‑model AI tools, outlining design principles, current capabilities like JoyAgent, OxyGent and JoyCode, real‑world applications across office, code review, logistics, and future policy and multi‑agent visions, highlighting their impact on modern workplace productivity.

AI ToolsEnterprise AIJD.com
0 likes · 13 min read
Unlocking AI Productivity: Inside JD’s Large‑Model Tool Innovations
JD Tech Talk
JD Tech Talk
Apr 30, 2025 · Artificial Intelligence

Adaptive Degradation and Recovery for JD Alliance Recommendation System under High‑Frequency Traffic Spikes

The article presents a comprehensive adaptive degradation and automatic recovery framework for JD Alliance's recommendation system, designed to handle high‑frequency, instantaneous traffic surges during large promotions by combining real‑time monitoring, Wilson‑interval‑based timeout correction, scenario‑aware control, traffic slicing, linear‑programming‑driven chain optimization, and low‑cost business‑agnostic APIs, achieving over 90% reduction in traffic loss and zero incidents.

JD.comLinear Programmingadaptive degradation
0 likes · 11 min read
Adaptive Degradation and Recovery for JD Alliance Recommendation System under High‑Frequency Traffic Spikes
JD Cloud Developers
JD Cloud Developers
Mar 3, 2025 · Artificial Intelligence

How JD.com Leverages Domestic NPU Chips to Power Large‑Scale AI Models

This article details JD.com's challenges and solutions for deploying domestic NPU chips across heterogeneous GPU‑NPU clusters, covering architecture, scheduling, high‑performance training and inference engines, real‑world case studies, and future plans to scale AI workloads securely and efficiently.

AIJD.comNPU
0 likes · 19 min read
How JD.com Leverages Domestic NPU Chips to Power Large‑Scale AI Models
JD Tech
JD Tech
Dec 26, 2024 · Databases

Optimizing Query Performance for JD's BIP Procurement System with JED, JimKV, and Elasticsearch

This article details how JD's BIP procurement system tackled massive query‑performance challenges by segmenting order data, leveraging the JED distributed MySQL solution, introducing JimKV for hot‑data caching, and offloading complex searches to Elasticsearch, resulting in dramatically reduced load and faster user experiences.

Big DataElasticsearchJD.com
0 likes · 11 min read
Optimizing Query Performance for JD's BIP Procurement System with JED, JimKV, and Elasticsearch
JD Retail Technology
JD Retail Technology
Dec 19, 2024 · Big Data

JD.com Data Governance: Architecture, Key Technologies, and Future Directions

JD.com’s data‑governance framework combines a health‑score‑driven, automated platform that cross‑verifies audit logs, builds full‑link and operator‑level lineage, introduces standard fields, and optimizes resource mixing, task staggering, and cross‑datacenter scheduling, while targeting real‑time AI‑enhanced detection and full automation.

Data GovernanceJD.comResource Optimization
0 likes · 15 min read
JD.com Data Governance: Architecture, Key Technologies, and Future Directions
DataFunSummit
DataFunSummit
Dec 10, 2024 · Big Data

JD.com’s Big Data Governance: Practices, Key Technologies, and Future Outlook

This article presents JD.com’s comprehensive big‑data governance experience, detailing the background and challenges, the automated governance platform and its core technologies such as audit logs and full‑link lineage, strategies for resource optimization, and the roadmap toward real‑time, intelligent, and fully automated data governance.

AutomationData GovernanceJD.com
0 likes · 14 min read
JD.com’s Big Data Governance: Practices, Key Technologies, and Future Outlook
JD Retail Technology
JD Retail Technology
Sep 4, 2024 · Artificial Intelligence

Multimodal Recommendation Algorithms and System Architecture at JD.com

This article presents JD.com’s multimodal recommendation system architecture, covering content understanding, multimodal ranking and recall models, practical deployment pipelines, and future research directions such as large‑model integration and supply‑side generation, all illustrated with detailed diagrams and Q&A.

AIJD.comMultimodal
0 likes · 14 min read
Multimodal Recommendation Algorithms and System Architecture at JD.com
JD Retail Technology
JD Retail Technology
Aug 16, 2024 · Artificial Intelligence

Interview with JD Retail AI Director Zhai Zhouwei on the Evolution and Future of E‑commerce Search Powered by Large Models

In this interview, JD Retail’s AI director Zhai Zhouwei outlines the four historical stages of e‑commerce search, explains how large‑model AI is reshaping user interaction, retrieval and content generation, discusses practical challenges and solutions, and shares his vision and advice for enterprises adopting these technologies.

AIJD.comNLP
0 likes · 9 min read
Interview with JD Retail AI Director Zhai Zhouwei on the Evolution and Future of E‑commerce Search Powered by Large Models
JD Retail Technology
JD Retail Technology
Aug 14, 2024 · Artificial Intelligence

Adaptive Degradation and Recovery for JD Alliance Recommendation System During High‑Volume Promotions

This article describes how JD Alliance built an adaptive degradation and automatic recovery framework for its recommendation system to handle sudden, large‑scale traffic spikes during major sales events, ensuring stability while minimizing recommendation loss through real‑time monitoring, scenario‑aware control, and linear‑programming‑based pipeline orchestration.

JD.comLinear Programmingadaptive degradation
0 likes · 9 min read
Adaptive Degradation and Recovery for JD Alliance Recommendation System During High‑Volume Promotions
JD Tech Talk
JD Tech Talk
Aug 14, 2024 · R&D Management

JD Group Project Management Talent Development Channel Showcases at the 3rd China PMO & PM Conference

The JD Group's Project Management Talent Development Channel presented a series of expert talks and a round‑table at the third China PMO & PM Conference, covering data‑driven project intelligence, best practices in internet project management, AI‑enhanced workflows, and overseas delivery challenges, while highlighting JD's commitment to cultivating project management excellence.

Artificial IntelligenceJD.comPMO
0 likes · 7 min read
JD Group Project Management Talent Development Channel Showcases at the 3rd China PMO & PM Conference
JD Cloud Developers
JD Cloud Developers
Aug 14, 2024 · R&D Management

How JD’s Project Management Talent Path Boosts R&D Efficiency and AI Integration

JD.com’s Project Management Talent Development Channel showcased its R&D efficiency, AI‑enhanced workflows, and industry‑specific project practices at the 3rd China PMO&PM Conference, offering insights from multiple experts on overseas delivery, healthcare projects, and systematic talent cultivation, while earning a special honor from the PM&PMO community.

Case studyJD.comProject Management
0 likes · 7 min read
How JD’s Project Management Talent Path Boosts R&D Efficiency and AI Integration
JD Retail Technology
JD Retail Technology
Aug 13, 2024 · R&D Management

JD Group Project Management Talent Development Channel Presents at the 3rd China PMO&PM Conference

On August 10‑11, JD Group's Project Management Talent Development Channel showcased its expertise at the 3rd China PMO&PM Conference in Shanghai, delivering multiple expert talks on data‑driven project management, R&D efficiency, AI‑enabled workflows, overseas delivery, and fostering industry dialogue through round‑table discussions.

AI integrationJD.comProject Management
0 likes · 7 min read
JD Group Project Management Talent Development Channel Presents at the 3rd China PMO&PM Conference
JD Tech
JD Tech
May 10, 2024 · Artificial Intelligence

Exploring AIGC Applications in JD Insurance UED Team

This article outlines the JD Insurance UED team's recent explorations and achievements in leveraging AIGC technology to transform creative design workflows, highlighting key insights, visual examples, and recommended readings to inspire broader adoption of AI‑generated content tools across the industry.

AIGCJD.comUED
0 likes · 3 min read
Exploring AIGC Applications in JD Insurance UED Team
DataFunTalk
DataFunTalk
May 4, 2024 · Big Data

JD Retail Data Visualization Platform: Product Practice and Insights

This article presents an in‑depth overview of JD.com’s retail data visualization platform, detailing its product matrix—including EasyBI, a low‑code platform, and JDV large‑screen tool—its architectural layers, key capabilities, business case studies, challenges faced, and future development directions.

Big DataData VisualizationJD.com
0 likes · 14 min read
JD Retail Data Visualization Platform: Product Practice and Insights
JD Retail Technology
JD Retail Technology
Apr 24, 2024 · Backend Development

Design and Optimization of JD Advertising Retrieval Platform: Adaptive Compute Allocation, High‑Efficiency Search Engine, and Platform‑Scale Infrastructure

The article presents a comprehensive overview of JD's advertising retrieval platform, detailing how it balances limited compute resources with massive data through adaptive compute allocation, distributed execution graphs, elastic systems, and multi‑stage algorithmic improvements to achieve high‑performance, scalable ad matching.

AdvertisingJD.comcompute optimization
0 likes · 22 min read
Design and Optimization of JD Advertising Retrieval Platform: Adaptive Compute Allocation, High‑Efficiency Search Engine, and Platform‑Scale Infrastructure
JD Retail Technology
JD Retail Technology
Apr 19, 2024 · Product Management

My Journey as an AI Product Manager at JD.com: Career Decisions, Project Experiences, and Growth Framework

This article chronicles the author's three‑year journey as an AI product manager at JD.com, detailing the decision to enter the AI field, key project experiences such as platform integration and edge‑intelligence, a three‑stage growth roadmap, essential capabilities across four quadrants, and a forward‑looking view of AI's industry impact.

AI PlatformsAI product managementJD.com
0 likes · 12 min read
My Journey as an AI Product Manager at JD.com: Career Decisions, Project Experiences, and Growth Framework
JD Retail Technology
JD Retail Technology
Apr 18, 2024 · Industry Insights

How JD.com’s AI‑Driven Supply Chain Earned the 2024 INFORMS Prize

JD.com became the first Asian company to win the prestigious INFORMS Prize by leveraging AI‑powered, user‑centric supply chain innovations that deliver 95% of orders within 24 hours, scale assets to 153.8 billion yuan, and generate tens of thousands of daily logistics decisions.

AIINFORMSIndustry Insights
0 likes · 4 min read
How JD.com’s AI‑Driven Supply Chain Earned the 2024 INFORMS Prize
DataFunSummit
DataFunSummit
Jan 7, 2024 · Big Data

JD Retail Data Visualization Platform: Product Capabilities, Business Enablement Cases, and Future Outlook

This article presents an in‑depth overview of JD's retail data visualization platform, detailing its product matrix (EasyBI, low‑code platform, JDV), real‑world business use cases, architectural challenges, future development strategies, and a Q&A session that highlights technical and operational insights.

BI platformBig DataDashboard
0 likes · 14 min read
JD Retail Data Visualization Platform: Product Capabilities, Business Enablement Cases, and Future Outlook
DataFunSummit
DataFunSummit
Oct 25, 2023 · Big Data

Data Serviceization at JD: From Zero to One and Beyond

This technical presentation describes JD's data service platform, covering its origin, performance optimizations, flexible API generation, scaling to massive metrics, caching strategies, service orchestration, governance, and a Q&A on security and data‑source flexibility.

API generationBig DataData Service
0 likes · 11 min read
Data Serviceization at JD: From Zero to One and Beyond
JD Retail Technology
JD Retail Technology
Oct 10, 2023 · R&D Management

From DIY Advertising System to AI Retail: JD’s Technological Evolution and Middle‑Platform Insights

The article recounts JD’s journey from a small team building an in‑house advertising system that saved billions, through successive PC, mobile, and middle‑platform eras, to current AI‑driven retail innovations, highlighting strategic decisions, architectural challenges, and the importance of aligning technology with business goals.

AI RetailJD.comR&D Management
0 likes · 15 min read
From DIY Advertising System to AI Retail: JD’s Technological Evolution and Middle‑Platform Insights
DataFunSummit
DataFunSummit
May 22, 2023 · Artificial Intelligence

Digital Twin in JD Retail Supply Chain: Architecture, Practices, and Future Directions

This article presents JD Retail's digital‑twin framework for its complex supply‑chain network, detailing the underlying AI‑driven intelligent diagnosis, end‑to‑end simulation platform, two concrete case studies on inventory sinking and multi‑warehouse layout optimization, and outlines future research challenges and opportunities.

AIDigital TwinJD.com
0 likes · 19 min read
Digital Twin in JD Retail Supply Chain: Architecture, Practices, and Future Directions
JD Tech
JD Tech
Apr 26, 2023 · Information Security

Overview of JD.com's Five‑Element Zero Trust Security Framework

This whitepaper outlines JD.com's practical zero‑trust security approach, detailing a five‑element framework that includes asset digitization, asset identity, diversified security checkpoints, a strategy center, and a zero‑trust cockpit, to help digital enterprises strengthen security, reduce costs, and meet regulatory requirements.

JD.comdigital transformationinformation security
0 likes · 6 min read
Overview of JD.com's Five‑Element Zero Trust Security Framework
DataFunSummit
DataFunSummit
Feb 2, 2023 · Artificial Intelligence

Exploring Super Automation in JD Supply Chain: Architecture, Applications, and Future Outlook

This article presents JD's super automation approach for its supply chain, detailing the business background, challenges, AI‑driven forecasting, procurement, intelligent allocation, inventory clearing, integrated decision making, and future directions toward fully automated, optimal end‑to‑end operations.

JD.comOptimizationforecasting
0 likes · 17 min read
Exploring Super Automation in JD Supply Chain: Architecture, Applications, and Future Outlook
DataFunSummit
DataFunSummit
Jan 9, 2023 · Big Data

JD Data‑Driven Business Development: Building a Business Metric Data System and Marketplace Governance

The article outlines JD's data‑driven business development strategy, describing the current challenges of its business data marketplace, the governance framework—including layered architecture, standardization, ClickHouse dictionary refresh, and optimization measures—and the resulting performance improvements and future outlook.

Big DataClickHouseData Governance
0 likes · 13 min read
JD Data‑Driven Business Development: Building a Business Metric Data System and Marketplace Governance
JD Retail Technology
JD Retail Technology
Oct 10, 2022 · Backend Development

Design and Implementation of Asynchronous Pagination for JD Shopping Cart Auxiliary Information

This article presents a comprehensive case study of how JD.com tackled the growing load of its shopping‑cart service by introducing an asynchronous pagination mechanism for auxiliary product information, detailing the background, objectives, technical architecture, challenges, and measurable performance and cost benefits.

Asynchronous LoadingJD.comShopping Cart
0 likes · 13 min read
Design and Implementation of Asynchronous Pagination for JD Shopping Cart Auxiliary Information
JD Retail Technology
JD Retail Technology
Jul 18, 2022 · Artificial Intelligence

JD’s Intelligent Product Matching Technology Wins the 11th Wu Wenjun AI Science and Technology Award

On July 16, JD.com’s jointly developed intelligent product‑matching technology received the second‑place Science and Technology Progress Award at the 11th Wu Wenjun Artificial Intelligence Award, highlighting its multi‑dimensional user profiling, cross‑modal product modeling, and precise matching innovations that have driven significant commercial and societal impact.

Artificial IntelligenceJD.comWu Wenjun award
0 likes · 4 min read
JD’s Intelligent Product Matching Technology Wins the 11th Wu Wenjun AI Science and Technology Award
DataFunTalk
DataFunTalk
Jun 28, 2022 · Big Data

JD Retail Traffic Data Warehouse Architecture and Processing Practices

This article presents a comprehensive technical overview of JD.com’s retail traffic data processing pipeline, detailing the multi‑layer data warehouse architecture, real‑time and offline data flows, a large‑scale back‑fill case using Iceberg and OLAP, data‑skew detection and mitigation techniques, and future directions involving unified Flink‑Spark streaming‑batch solutions.

Data SkewFlinkIceberg
0 likes · 12 min read
JD Retail Traffic Data Warehouse Architecture and Processing Practices
JD Retail Technology
JD Retail Technology
Jun 20, 2022 · Backend Development

JD APP Gold Flow ISV Co‑Development Platform: Architecture, Process, and Practice

This article introduces JD.com's ISV co‑development platform for the gold‑flow of its APP, detailing the background, overall solution design, implementation steps, capability panorama, co‑building workflow, quality control mechanisms, real‑world case studies, and future outlook to illustrate how the model accelerates business development and improves ROI.

JD.comPlatform engineeringco-development
0 likes · 13 min read
JD APP Gold Flow ISV Co‑Development Platform: Architecture, Process, and Practice
JD Retail Technology
JD Retail Technology
Jun 10, 2022 · Big Data

Design and Implementation of an International Business Data Platform for JD.com's 618 Promotion

The article details JD International's challenges and solutions in building a unified, real‑time data platform for its multi‑regional 618 promotion, covering business characteristics, data distribution, team organization, dashboard architecture, integration strategies, and short‑ and long‑term technical plans.

Data IntegrationFlinkInternational Business
0 likes · 8 min read
Design and Implementation of an International Business Data Platform for JD.com's 618 Promotion
JD Tech
JD Tech
May 20, 2022 · Mobile Development

MCube: A Native Dynamic Page Solution for JD.com Mobile Apps

The article presents MCube, a cross‑platform native dynamic UI framework used in JD.com’s mobile app to improve performance, reduce development effort, and enable rapid, stable feature delivery through a modular architecture, XML DSL, Yoga layout engine, and comprehensive management and tooling support.

Dynamic UIJD.comMCube
0 likes · 14 min read
MCube: A Native Dynamic Page Solution for JD.com Mobile Apps
JD Retail Technology
JD Retail Technology
Apr 18, 2022 · Industry Insights

How JD’s Intelligent Shopping Guide Project Redefines Modern Project Management

The article examines the evolution of project management standards, highlights China’s recent national guidelines, and presents JD.com’s intelligent shopping guide AI project as a case study illustrating how business‑driven value streams, advanced technologies and rigorous target‑benefit management can shape modern project management practices.

AIIndustry InsightsJD.com
0 likes · 13 min read
How JD’s Intelligent Shopping Guide Project Redefines Modern Project Management
DataFunSummit
DataFunSummit
Jan 12, 2022 · Big Data

Exploring JD's Big Data Security and Distributed Permission System: Architecture, Principles, and Practices

This article presents JD's comprehensive big‑data security framework and distributed permission system, detailing the overall planning of the security center, data lifecycle protection strategies, core modules such as subjects, resources, policy language, and high‑performance access control, and how they address national compliance, business scalability, and technical challenges.

Big DataJD.comPermission Management
0 likes · 11 min read
Exploring JD's Big Data Security and Distributed Permission System: Architecture, Principles, and Practices
Open Source Linux
Open Source Linux
Dec 3, 2021 · Big Data

How Big Data Tech Evolved: Lessons from Alibaba, JD, and Didi

This article traces the evolution of big data technologies from early concepts and Google research papers through the rise of Hadoop, examines the platform transformations of Alibaba, JD.com, and Didi, and offers practical stack‑selection guidance for medium‑ and small‑scale enterprises.

AlibabaBig DataCase study
0 likes · 17 min read
How Big Data Tech Evolved: Lessons from Alibaba, JD, and Didi
DataFunSummit
DataFunSummit
Nov 8, 2021 · Big Data

Building JD's OLAP System: From Data Ingestion to Management and Future Plans

This article explains how JD.com designs and evolves its OLAP platform, covering data sources, ingestion, storage, real‑time and offline processing, key challenges such as timeliness, high throughput, consistency, and the solutions implemented to support massive e‑commerce analytics.

Big DataData WarehouseJD.com
0 likes · 13 min read
Building JD's OLAP System: From Data Ingestion to Management and Future Plans
dbaplus Community
dbaplus Community
Oct 20, 2021 · Big Data

How JD Achieves ClickHouse High‑Availability for Billion‑Scale OLAP

JD's OLAP platform runs on ClickHouse and Doris across 3,000 servers, handling billions of daily queries and petabytes of data, and this article details the selection criteria, cluster deployment models, high‑availability architecture, operational challenges, and future roadmap.

Big DataClickHouseCluster Deployment
0 likes · 21 min read
How JD Achieves ClickHouse High‑Availability for Billion‑Scale OLAP
Java High-Performance Architecture
Java High-Performance Architecture
Jun 4, 2021 · Operations

How JD.com Scaled Its Order Search with a Real-Time Dual Elasticsearch Cluster

JD.com’s order center faced massive query loads, prompting a migration from MySQL to Elasticsearch and a multi-stage evolution of its ES cluster—from a chaotic initial setup to isolated nodes, replica tuning, master‑slave dual clusters, and real‑time backup—culminating in a robust, high‑throughput, fault‑tolerant search architecture.

Data synchronizationElasticsearchJD.com
0 likes · 14 min read
How JD.com Scaled Its Order Search with a Real-Time Dual Elasticsearch Cluster
DataFunTalk
DataFunTalk
Jun 2, 2021 · Artificial Intelligence

Industrial-Scale Graph Learning for JD Advertising: 9N GRAPH End‑to‑End Solution and BVSHG Model

This article introduces JD.com's 9N GRAPH industrialization framework for large‑scale graph algorithms in advertising, covering the challenges of e‑commerce recommendation, the end‑to‑end solution architecture, the BVSHG multi‑behavior heterogeneous GNN model, training pipelines, and observed business impact.

BVSHGJD.comLarge-Scale Graph
0 likes · 17 min read
Industrial-Scale Graph Learning for JD Advertising: 9N GRAPH End‑to‑End Solution and BVSHG Model
JD.com Experience Design Center
JD.com Experience Design Center
Jun 2, 2021 · Product Management

How JD’s “Friend” Module Can Transform Social Commerce

The article outlines JD’s design of a unified social‑relationship front‑end module, detailing current data‑island problems, user‑value requirements, visual guidelines, functional integration, and simplified friend‑adding flows to boost acquisition, engagement, and conversion across the platform.

JD.comUXUser Acquisition
0 likes · 8 min read
How JD’s “Friend” Module Can Transform Social Commerce
JD Retail Technology
JD Retail Technology
May 17, 2021 · Interview Experience

How a JD Architect Turns PaaS Challenges into Career Growth

In this interview, senior architect Li Zunjing shares his two‑stage journey at JD.com—from stabilizing e‑commerce systems to pioneering B‑PaaS—highlighting the importance of technical fundamentals, a "empty‑cup" mindset, collaborative execution, and self‑driven learning for engineering success.

JD.comPaaScareer development
0 likes · 9 min read
How a JD Architect Turns PaaS Challenges into Career Growth
DataFunTalk
DataFunTalk
May 5, 2021 · Big Data

JD's OLAP Architecture: Design, Challenges, and Solutions

This article explains how JD constructs its OLAP platform from data ingestion to storage, querying, and management, describing the diverse data sources, real‑time and offline processing, scalability, consistency, fault tolerance, and future optimization plans, while addressing key technical challenges and solutions.

Big DataJD.comdistributed systems
0 likes · 15 min read
JD's OLAP Architecture: Design, Challenges, and Solutions
JD Retail Technology
JD Retail Technology
Apr 28, 2021 · Databases

Real‑Time Analytics with Doris for JD Customer Service: Architecture, Caching, and Optimization

This article describes how JD.com leverages the open‑source MPP analytical database Doris for real‑time and offline OLAP on customer‑service data, covering data ingestion pipelines, dual‑stream high‑availability design, dynamic partition management, multi‑level caching, monitoring with Prometheus‑Grafana, and performance optimizations applied during major sales events.

DorisJD.comReal-Time Analytics
0 likes · 13 min read
Real‑Time Analytics with Doris for JD Customer Service: Architecture, Caching, and Optimization
DevOps
DevOps
Mar 8, 2021 · R&D Management

Lean Innovation and Growth Strategies: JD.com Case Study

The article explores why enterprises must continuously innovate, outlines the challenges of cross‑industry disruption, digital transformation, and VUCA environments, and presents JD.com’s lean innovation process, S‑curve growth model, three‑horizon strategy, and concrete internal innovation cases to drive sustainable growth.

InnovationJD.comR&D Management
0 likes · 28 min read
Lean Innovation and Growth Strategies: JD.com Case Study
JD Tech
JD Tech
Mar 5, 2021 · Artificial Intelligence

JD.com’s Vision for AI-Driven Integration of Technology and the Real Economy

The article outlines JD.com’s strategic focus on integrating artificial intelligence, blockchain, cloud‑edge computing and other emerging technologies with the real economy to build a trustworthy, digital‑intelligent supply chain that drives high‑quality development and empowers millions of enterprises.

Artificial IntelligenceJD.comTechnology Integration
0 likes · 4 min read
JD.com’s Vision for AI-Driven Integration of Technology and the Real Economy
Programmer DD
Programmer DD
Sep 29, 2020 · Backend Development

How JD’s HotKey Middleware Boosts Backend Performance via Protobuf

The HotKey middleware, built on JD’s 618 stable version 0.2, introduces protobuf serialization and optimizes data transmission, achieving up to 37 k QPS stable throughput, 15% lower CPU peaks, and millisecond‑level hot‑key detection and push across dozens of core JD services, dramatically reducing backend storage load.

Backend MiddlewareHot Data DetectionHotKey
0 likes · 5 min read
How JD’s HotKey Middleware Boosts Backend Performance via Protobuf
JD Retail Technology
JD Retail Technology
Sep 15, 2020 · Artificial Intelligence

Federated Learning and the 9NFL Platform: Architecture, Features, and Real‑World Applications

This article explains how federated learning addresses data‑island challenges under privacy regulations, introduces JD.com’s 9NFL federated learning platform, details its component‑based, high‑availability, high‑performance architecture, and showcases a successful advertising use case that boosted revenue by over 10%.

AIJD.comdata privacy
0 likes · 7 min read
Federated Learning and the 9NFL Platform: Architecture, Features, and Real‑World Applications
JD Retail Technology
JD Retail Technology
Jul 7, 2020 · Operations

JD.com 618 Shopping Festival Technical Preparation: Resource Optimization, High Availability, and System Reliability

The 2020 JD.com 618 shopping festival showcased a record-breaking sales volume and demonstrated how meticulous resource fine‑tuning, container scaling, high‑fidelity load testing, and cross‑team coordination enabled stable, cost‑effective system performance without adding new compute servers.

618Cloud ComputingHigh Availability
0 likes · 7 min read
JD.com 618 Shopping Festival Technical Preparation: Resource Optimization, High Availability, and System Reliability
JD Retail Technology
JD Retail Technology
Jun 17, 2020 · Operations

How JD’s Data Platforms Scaled for the 618 Mega‑Sale: Operations, Stress‑Testing, and Dual‑Stream Architecture

The article details JD’s data product teams’ systematic preparation for the 618 shopping festival, covering pressure estimation, capacity expansion, stress testing, emergency downgrade strategies, dual‑data‑center isolation, high‑fidelity end‑to‑end testing, and continuous monitoring to ensure stable, real‑time data services during massive traffic spikes.

Big DataJD.comMonitoring
0 likes · 10 min read
How JD’s Data Platforms Scaled for the 618 Mega‑Sale: Operations, Stress‑Testing, and Dual‑Stream Architecture
JD.com Experience Design Center
JD.com Experience Design Center
Jun 8, 2020 · Product Management

How JD’s “Hundred Billion Subsidy” Brand Was Revamped for Better User Engagement

This article details JD's comprehensive redesign of the Hundred Billion Subsidy marketing brand, covering project background, identified pain points, the creation of a distinctive IP, visual positioning, brand distribution standards, and data‑driven UI improvements that boosted user attraction, coupon redemption, and overall performance.

JD.comUX designbranding
0 likes · 11 min read
How JD’s “Hundred Billion Subsidy” Brand Was Revamped for Better User Engagement
JD Retail Technology
JD Retail Technology
May 26, 2020 · Mobile Development

Case Study: Rapid Development of JD.com “Jingdong Fast Version” Mobile App

This article details how JD.com’s retail teams collaboratively designed, built, and launched the lightweight Jingdong Fast Version mobile app in early 2020, outlining the project’s tight timeline, cross‑team coordination, technical architecture, design simplifications, and the successful on‑time release despite pandemic constraints.

Case studyJD.comMobile App
0 likes · 13 min read
Case Study: Rapid Development of JD.com “Jingdong Fast Version” Mobile App
DevOps
DevOps
Mar 16, 2020 · Operations

JD.com DevOps Case Study: Agile Transformation, Continuous Delivery, and Organizational Practices

This case study examines JD.com’s evolution into a technology‑driven enterprise, detailing its corporate culture, the “ABCDE” technology strategy, the implementation of DevOps and agile practices through the CALMS framework, and how unified continuous‑delivery platforms and operational metrics have driven growth, efficiency, and pandemic response.

Big DataContinuous DeliveryDevOps
0 likes · 16 min read
JD.com DevOps Case Study: Agile Transformation, Continuous Delivery, and Organizational Practices
Big Data Technology Architecture
Big Data Technology Architecture
Feb 24, 2020 · Operations

Evolution and Optimization of JD.com Order Center Elasticsearch Cluster Architecture

This article details how JD.com’s order center migrated its Elasticsearch cluster through multiple architectural stages—initial deployment, isolation, replica tuning, master‑slave adjustments, and real‑time dual‑cluster backup—while addressing data synchronization, scaling, and performance pitfalls to achieve high availability and query stability.

Cluster ArchitectureData synchronizationElasticsearch
0 likes · 13 min read
Evolution and Optimization of JD.com Order Center Elasticsearch Cluster Architecture
DevOps
DevOps
Feb 19, 2020 · Operations

Single‑Point Breakthrough in Enterprise DevOps Transformation: JD.com Case Study

The article explains how focusing on a single critical point—such as the deployment stage—can dramatically accelerate an organization’s end‑to‑end DevOps transformation, illustrated with JD.com’s journey from manual releases to an automated, high‑efficiency continuous delivery platform.

Continuous DeliveryDevOpsJD.com
0 likes · 11 min read
Single‑Point Breakthrough in Enterprise DevOps Transformation: JD.com Case Study
JD Retail Technology
JD Retail Technology
Dec 27, 2019 · Backend Development

Insights into JD.com’s Core Transaction System: High Concurrency, Availability, and Componentization

The article summarizes Zhu Qingjie’s presentation on JD.com’s core transaction platform, highlighting its massive scale, stringent high‑concurrency and high‑availability requirements, architectural strategies such as system splitting, caching and componentization, and the use of an autonomous decision platform to ensure rapid, reliable e‑commerce operations.

Backend ArchitectureComponentizationJD.com
0 likes · 5 min read
Insights into JD.com’s Core Transaction System: High Concurrency, Availability, and Componentization
JD Retail Technology
JD Retail Technology
Dec 20, 2019 · Industry Insights

How JD.com’s Automotive Division Engineered Rapid Growth Through Full‑Chain Integration

Despite a 10.3% sales decline in the broader auto market, JD.com’s automotive unit achieved explosive growth by combining ToC and ToB services, building a comprehensive parts database, linking online and offline channels, and breaking information silos with a robust middle‑platform strategy.

Automotive E-commerceFull-chain IntegrationJD.com
0 likes · 8 min read
How JD.com’s Automotive Division Engineered Rapid Growth Through Full‑Chain Integration
JD Retail Technology
JD Retail Technology
Nov 19, 2019 · Industry Insights

How JD.com Is Building an Open, Integrated Tech Ecosystem Across Retail, Logistics, and Cloud

JD.com's 2019 JDDiscovery conference revealed a comprehensive, cloud‑native technology landscape that spans AI, big data, IoT, and blockchain, detailing how the company has transformed its integrated retail, logistics, and finance systems into modular, open‑service solutions for external partners.

Artificial IntelligenceBig DataCloud Computing
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How JD.com Is Building an Open, Integrated Tech Ecosystem Across Retail, Logistics, and Cloud
JD Retail Technology
JD Retail Technology
Oct 31, 2019 · Operations

Collaborative Load Testing for JD.com 11.11 Event: Organizational Changes, Scale Expansion, and ForceBot Traffic Recording & Replay

The article details JD.com's coordinated effort to prepare for the 11.11 shopping festival by expanding load‑testing scale, improving cross‑team collaboration, and enhancing the ForceBot platform with traffic recording and replay capabilities to achieve more realistic and efficient full‑chain performance evaluations.

JD.comLoad TestingOperations
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Collaborative Load Testing for JD.com 11.11 Event: Organizational Changes, Scale Expansion, and ForceBot Traffic Recording & Replay
JD Retail Technology
JD Retail Technology
Sep 30, 2019 · Product Management

Product Management Insights: Building Mid‑Platform Products, Past Experiences, and Future Design

In this talk, JD Retail's Liu Guangyue shares how product managers should adopt a higher‑level, ecosystem perspective to design mid‑platform products, reflecting on current component‑based e‑commerce platforms, past social‑product challenges, and future strategic product design principles.

Ecosystem DesignJD.commid‑platform
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Product Management Insights: Building Mid‑Platform Products, Past Experiences, and Future Design
21CTO
21CTO
Jul 31, 2019 · Artificial Intelligence

How JD Built a Scalable AI‑Powered Recommendation System

The article outlines JD’s evolution from rule‑based product suggestions in 2012 to a sophisticated, AI‑driven, multi‑screen personalized recommendation platform, detailing its product types, system architecture, data collection, offline and online computation, and the core recommendation engine that powers features like “Guess You Like.”

AIBig DataJD.com
0 likes · 14 min read
How JD Built a Scalable AI‑Powered Recommendation System
Architecture Digest
Architecture Digest
Jul 30, 2019 · Artificial Intelligence

Evolution and Architecture of JD.com’s Personalized Recommendation System

The article details JD.com’s journey from rule‑based product recommendations in 2012 to a sophisticated, AI‑driven personalized recommendation system, describing its multi‑screen product types, data collection, offline and online computation pipelines, and the modular architecture of its recommendation engine.

JD.come-commercemachine learning
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Evolution and Architecture of JD.com’s Personalized Recommendation System
dbaplus Community
dbaplus Community
Jul 18, 2019 · Databases

How JD.com Scales HBase to 90PB: Architecture, Optimizations, and Lessons

This article examines JD.com's massive HBase deployment, detailing its evolution from early adoption to a 90PB, 7,000‑node cluster, the platform's architecture, multi‑active disaster recovery, multi‑tenant isolation, and the integration of Phoenix for SQL‑based access, offering practical insights for large‑scale distributed storage.

Big DataDatabase ArchitectureHBase
0 likes · 15 min read
How JD.com Scales HBase to 90PB: Architecture, Optimizations, and Lessons
JD Retail Technology
JD Retail Technology
Jul 17, 2019 · Artificial Intelligence

JDATA Absolute Semantic Recognition Challenge – Competition Summary and Winners

The JDATA Absolute Semantic Recognition Challenge concluded on July 15 with eight finalist teams presenting their models, the champion "Label Team" using BERT, judges highlighting data cleaning, model fusion, and the distinction between absolute and contextual words, and a detailed ranking of all participating groups.

Algorithm CompetitionBERTJD.com
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JDATA Absolute Semantic Recognition Challenge – Competition Summary and Winners
JD Retail Technology
JD Retail Technology
Jun 12, 2019 · Artificial Intelligence

Technical Case Study of JD.com 6.18 Promotion: Intelligent Text Recognition and Order Trajectory Display

This article presents a technical case study of JD.com's 6.18 promotion, detailing an AI‑driven intelligent text recognition system for address parsing and a high‑performance order‑trajectory visualization pipeline that combines multiple algorithms to achieve high accuracy and 99.99% availability.

Bi-LSTM-CRFIntelligent Text RecognitionJD.com
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Technical Case Study of JD.com 6.18 Promotion: Intelligent Text Recognition and Order Trajectory Display
JD Retail Technology
JD Retail Technology
Jun 10, 2019 · Industry Insights

How JD.com’s Middle Platform Accelerates 618 Promo Preparation

JD.com’s R&D team transformed its 618 and 11.11 promotion preparation from a six‑month sprint to a one‑to‑two‑month process by building a unified middle platform that combines component‑based technology and data services, enabling rapid, scalable, and cost‑effective retail operations across multiple scenarios.

ComponentizationIndustry InsightsJD.com
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How JD.com’s Middle Platform Accelerates 618 Promo Preparation
JD Retail Technology
JD Retail Technology
Apr 10, 2019 · Databases

HBase at JD.com: Architecture, Use Cases, and Evolution

This article explains how JD.com leverages the open‑source HBase database for massive, low‑latency data storage across various business lines, detailing its architecture, multi‑tenant isolation, disaster‑recovery mechanisms, and integration with Phoenix SQL for OLTP workloads.

Big DataDatabase ArchitectureHBase
0 likes · 13 min read
HBase at JD.com: Architecture, Use Cases, and Evolution
dbaplus Community
dbaplus Community
Mar 31, 2019 · Databases

Unlocking Distributed Databases with Apache ShardingSphere: Features and JD.com Case Study

This article introduces Apache ShardingSphere’s ecosystem, core sharding and governance capabilities, access endpoints such as Sharding-JDBC, Sharding-Proxy and Sharding-Sidecar, and details JD.com’s real‑world implementation, including data‑sharding strategies, distributed primary keys, hint routing, performance optimizations, and future roadmap.

Apache ShardingSphereDatabase MiddlewareJD.com
0 likes · 18 min read
Unlocking Distributed Databases with Apache ShardingSphere: Features and JD.com Case Study
21CTO
21CTO
Mar 17, 2019 · Operations

Why JD.com’s CTO Turnover Signals a New Era of Tech‑Driven Retail

The article chronicles JD.com’s turbulent CTO history, detailing past security incidents, major system overhauls, and strategic shifts toward cloud, big data, and AI, while highlighting how leadership changes reflect the company’s push to become a technology‑first enterprise.

CTOCloud ComputingJD.com
0 likes · 11 min read
Why JD.com’s CTO Turnover Signals a New Era of Tech‑Driven Retail
JD Tech
JD Tech
Jan 29, 2019 · Product Management

Technical Overview of JD’s Design Help Open Platform for Home Decoration

The article presents a detailed technical interpretation of JD’s Design Help Open Platform, describing how it aggregates designers, leverages 3D modeling, VR, and fast rendering to solve the pain points of home‑decoration users, improve designer efficiency, and create a closed‑loop shopping experience.

3D modelingJD.comPlatform
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Technical Overview of JD’s Design Help Open Platform for Home Decoration
JD Retail Technology
JD Retail Technology
Dec 12, 2018 · Big Data

Construction and Architecture of JD Overseas Data Analysis Platform (Columbus Platform)

JD.com’s overseas data analysis platform, dubbed the Columbus platform, combines a lightweight data warehouse deployment with standardized, customizable BI tools to provide real‑time and offline analytics, visualization, KPI management, and future self‑service reporting and predictive capabilities for its global e‑commerce operations.

BIBig DataData Warehouse
0 likes · 9 min read
Construction and Architecture of JD Overseas Data Analysis Platform (Columbus Platform)
JD Tech
JD Tech
Dec 3, 2018 · Backend Development

Evolution of JD.com Order Center Elasticsearch Cluster Architecture

This article details how JD.com’s order center migrated its Elasticsearch cluster through multiple stages—from an initial unoptimized deployment to a real‑time dual‑cluster backup solution—addressing scalability, reliability, shard tuning, version upgrades, and data synchronization strategies to support billions of documents and hundreds of millions of daily queries.

Cluster ArchitectureData synchronizationElasticsearch
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Evolution of JD.com Order Center Elasticsearch Cluster Architecture
JD Retail Technology
JD Retail Technology
Nov 29, 2018 · Artificial Intelligence

JD.com's AI-Powered Smart Retail Technology Wins Innovation Award

JD.com's intelligent retail technology, which integrates online and offline retail through digital technology, has won a special award for technological industrialization in intelligent retail innovation, marking the first time an e-commerce company has received this honor.

AIIoTJD.com
0 likes · 11 min read
JD.com's AI-Powered Smart Retail Technology Wins Innovation Award
JD Tech
JD Tech
Nov 13, 2018 · Operations

JD.com Showcases Big‑Data‑Driven Supply Chain at INFORMS Annual Conference

At the INFORMS annual meeting in Phoenix, JD.com’s chief supply‑chain scientist and a team of data scientists presented a series of talks on big‑data‑driven supply‑chain optimization, demonstrated cutting‑edge logistics technologies, and engaged with global scholars and industry leaders, highlighting JD’s research strength in operations and analytics.

INFORMSJD.comoperations research
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JD.com Showcases Big‑Data‑Driven Supply Chain at INFORMS Annual Conference
JD Retail Technology
JD Retail Technology
Sep 12, 2018 · Artificial Intelligence

JD.com Delivery Robots: Advanced Localization, Sensor Fusion, and AI‑Driven Navigation

The article details JD.com’s 3.5‑generation delivery robots, explaining their high‑precision multi‑sensor localization, deep‑learning perception, reinforcement‑learning control, extensive patent portfolio, and future challenges, while also inviting readers to vote for the robots in a national patent competition.

JD.comLocalizationautonomous navigation
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JD.com Delivery Robots: Advanced Localization, Sensor Fusion, and AI‑Driven Navigation
JD Retail Technology
JD Retail Technology
Aug 13, 2018 · R&D Management

Senior JD.com Project Manager Tian Yanyun Shares Practical Project Management Insights

In this interview, senior JD.com project manager Tian Yanyun discusses his most memorable projects, coordination techniques without formal authority, demand decomposition, feasibility assessment, risk control, portfolio benefits, and how to thrive in a volatile, uncertain, complex, and ambiguous environment.

JD.comPortfolio ManagementProject Management
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Senior JD.com Project Manager Tian Yanyun Shares Practical Project Management Insights
JD Retail Technology
JD Retail Technology
Jul 25, 2018 · Frontend Development

Design and Architecture of JD.com’s Tongtian Tower Visual Activity Page Builder

The article explains how JD.com’s Tongtian Tower platform enables non‑technical operators to create activity pages through a React‑based visual editor, detailing its background, design goals, component architecture, template definition, data handling, quality assurance measures, and future development directions.

FrontendJD.comPlatform design
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Design and Architecture of JD.com’s Tongtian Tower Visual Activity Page Builder
JD Tech
JD Tech
Jul 9, 2018 · Big Data

JD's Large‑Scale Hadoop Cluster Resource Management and Scheduling Architecture

This article describes how JD built a multi‑regional, ten‑thousand‑node Hadoop ecosystem, unified resource management with YARN, introduced a three‑level Router scheduling layer, optimized performance, and integrated deep‑learning frameworks to achieve high availability, cost efficiency, and scalable big‑data processing.

HadoopJD.comYARN
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JD's Large‑Scale Hadoop Cluster Resource Management and Scheduling Architecture