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Architecture Digest

Feb 13, 2016 · Backend Development

Evolution of Xiaomi Web Architecture: From Monolith to Scalable Microservices and Cloud‑Native Solutions

The article chronicles Xiaomi Web's architectural journey from a simple three‑engineer monolith in 2011 through systematic service decomposition, asynchronous messaging, database sharding with Cobar, cloud‑native scaling, advanced caching, virtual inventory allocation, and sophisticated monitoring, illustrating practical lessons for building high‑performance e‑commerce platforms.

clouddatabase shardinge-commerce

0 likes · 12 min read

Architect

Nov 22, 2021 · Backend Development

Design and Evolution of Vivo Mall Product System: Architecture, Challenges, and Solutions

This article details the evolution of Vivo's e‑commerce product system from a monolithic design to a modular, high‑performance backend, describing architectural changes, challenges such as stability, scalability, and data consistency, and the technical solutions implemented to address them.

backendcachingdistributed transactions

0 likes · 10 min read

Architect

Jul 13, 2021 · Backend Development

Optimizing Distributed Lock Concurrency for High‑Throughput Order Scenarios

This article explains how high‑throughput e‑commerce order processing can suffer from inventory oversell when using a single distributed lock, analyzes the lock’s concurrency bottleneck, and proposes a segment‑locking optimization—splitting stock into multiple lock keys—to dramatically increase parallelism while addressing edge‑case pitfalls.

Distributed Lockbackend optimizatione-commerce

0 likes · 10 min read

Optimizing Distributed Lock Concurrency for High‑Throughput Order Scenarios

Architect

Oct 31, 2015 · Backend Development

Design and Architecture of E‑commerce Search Engines

This article explains the distinctive features, architectural patterns, core modules, technology choices, performance optimizations, and operational challenges of e‑commerce search engines, illustrating how they differ from general web search and how to build a robust, real‑time, high‑availability search system for online retail platforms.

ElasticsearchSearch Enginearchitecture

0 likes · 12 min read

Design and Architecture of E‑commerce Search Engines

Architects Research Society

Dec 26, 2015 · Artificial Intelligence

JD.com’s Personalized Recommendation System: Architecture, Models, and Future Directions

The article explains how JD.com leverages big‑data and personalized recommendation algorithms across PC and mobile platforms, detailing its recall and ranking models, efficiency analysis, weekly algorithm iterations, and future AI‑driven optimizations that together contribute about 10% of its orders.

Big DataMachine Learninge-commerce

0 likes · 10 min read

JD.com’s Personalized Recommendation System: Architecture, Models, and Future Directions

Architects Research Society

Dec 12, 2015 · Artificial Intelligence

Personalized Recommendation Best Practices

This article explains the fundamentals and business value of personalized recommendation systems for e‑commerce, outlines practical implementations on homepages, list pages, and search result pages, and provides case studies showing how tailored product suggestions improve conversion rates, user experience, and sales performance.

AIRecommendation SystemsUser Experience

0 likes · 11 min read

Personalized Recommendation Best Practices

Practical DevOps Architecture

Jan 14, 2025 · Backend Development

Comprehensive E‑commerce Project Tutorial Series: Core Order System, Seckill Service, Microservice Architecture, Performance Optimization, and Cloud‑Native Deployment

This extensive tutorial series provides step‑by‑step video guides covering the design and implementation of an e‑commerce core order system, promotional processes, distributed services, a high‑concurrency seckill platform, performance tuning techniques, microservice architecture with Spring Cloud Alibaba, and cloud‑native deployment using Docker, Kubernetes, Prometheus, and Grafana.

Cloud NativePerformanceTutorial

0 likes · 7 min read

Comprehensive E‑commerce Project Tutorial Series: Core Order System, Seckill Service, Microservice Architecture, Performance Optimization, and Cloud‑Native Deployment

WecTeam

Jan 14, 2020 · Frontend Development

How JD’s Mart Page Maker Revolutionizes Front‑End Development with Zero‑Code Visual Building

This article explains how JD’s self‑built Mart Page Maker (MPM) enables large‑scale e‑commerce teams to create complex marketplace pages instantly without coding, by leveraging rich component templates, a three‑layer configuration model, unified data sources, and a high‑performance Node rendering layer.

Component ArchitectureFrontendVue

0 likes · 21 min read

How JD’s Mart Page Maker Revolutionizes Front‑End Development with Zero‑Code Visual Building

Miss Fresh Tech Team

Nov 9, 2020 · Frontend Development

Transforming E‑commerce Activity Pages: Inside the River Beaver Visual Builder

The River Beaver system, developed by Miss Fresh, is a self‑built activity‑construction platform that lets operators visually assemble marketing pages using reusable components, dramatically reducing development effort, accelerating release cycles, and empowering non‑technical staff, while the underlying architecture—Vue‑based designer, component libraries, Node/Think.js services, and build pipelines—ensures scalable, maintainable H5 page generation.

Vuecomponent librarye-commerce

0 likes · 15 min read

Transforming E‑commerce Activity Pages: Inside the River Beaver Visual Builder

JD Cloud Developers

Feb 20, 2025 · Artificial Intelligence

How Multi‑Agent ReAct Architecture Boosts E‑Commerce AI Assistants

This article explains the evolution of multi‑agent systems for e‑commerce assistants, detailing the ReAct‑based planning framework, hierarchical master‑sub agent collaboration, evaluation methods, and sample‑generation techniques that together improve accuracy, efficiency, and scalability of AI‑driven merchant services.

AI planningAgent ArchitectureLLM

0 likes · 23 min read

How Multi‑Agent ReAct Architecture Boosts E‑Commerce AI Assistants

JD Cloud Developers

Jan 16, 2025 · Artificial Intelligence

JD Retail’s 2024 Tech Innovations: AI, Supply Chain, and Immersive Shopping

In 2024, JD Retail Technology rolled out a series of breakthroughs—including a major JD APP redesign, data‑driven inventory algorithms, an AIGC content platform, a low‑code national‑subsidy system, a high‑performance data lake, cross‑platform Taro on Harmony, AI‑powered merchant assistants, and immersive XR shopping—showcasing how AI and advanced engineering drive faster fulfillment, richer user experiences, and scalable innovation.

AIAIGCCross‑Platform Development

0 likes · 18 min read

JD Retail’s 2024 Tech Innovations: AI, Supply Chain, and Immersive Shopping

JD Cloud Developers

Dec 30, 2024 · Operations

How JD’s AI‑Driven Inventory Selection & Allocation Earned the Wagner Prize

JD Retail’s supply‑chain technology team leveraged data‑driven inventory selection and allocation algorithms—combining machine‑learning forecasting, heuristic heuristics, and an end‑to‑end optimization framework—to boost fulfillment rates, cut costs, and secure the prestigious Daniel H. Wagner Prize for operations research excellence.

Machine Learninge-commerceinventory optimization

0 likes · 21 min read

How JD’s AI‑Driven Inventory Selection & Allocation Earned the Wagner Prize

JD Cloud Developers

Sep 23, 2024 · Artificial Intelligence

How JD’s Advertising Lab Leverages Large‑Scale AI to Transform E‑Commerce Ads

JD's advertising research team combines deep learning, multimodal modeling, reinforcement‑learning auctions, and generative recommendation to boost ad relevance, improve long‑tail product exposure, and overcome large‑model inference challenges in a high‑traffic e‑commerce environment.

Large Modelsadvertising AIe-commerce

0 likes · 22 min read

How JD’s Advertising Lab Leverages Large‑Scale AI to Transform E‑Commerce Ads

JD Cloud Developers

May 29, 2024 · Artificial Intelligence

How Multi‑Agent AI Is Revolutionizing E‑Commerce Decision Making

This article explores JD Retail's AI‑driven multi‑agent system that mimics real‑world merchant decision processes, detailing the ReAct paradigm, agent roles, workflow, training methods, monitoring, and future directions for building intelligent e‑commerce assistants.

AIAgent ArchitectureFine‑tuning

0 likes · 21 min read

How Multi‑Agent AI Is Revolutionizing E‑Commerce Decision Making

JD Cloud Developers

Aug 29, 2023 · Backend Development

How a Lightweight Redis‑Based Inventory Architecture Boosts High‑Traffic E‑Commerce Systems

This article examines the challenges of scaling inventory pre‑allocation in fast‑growing logistics platforms, outlines architectural principles for a lightweight, Redis‑driven solution that replaces MySQL bottlenecks, details data structures, consistency mechanisms, and performance results, and provides a roadmap for future capacity growth.

Inventory ManagementMySQLRedis

0 likes · 10 min read

How a Lightweight Redis‑Based Inventory Architecture Boosts High‑Traffic E‑Commerce Systems

JD Cloud Developers

Mar 21, 2022 · Artificial Intelligence

How JD’s AI Generates Multimodal Product Summaries to Boost E‑Commerce

The article explains how rapid internet growth created information overload, leading to concise summary services, and how recent AI advances—especially large language models like GPT‑3—enable platforms such as JD.com to automatically generate high‑quality, multimodal product copy that drives sales and supports diverse creative tasks.

AINLPe-commerce

0 likes · 4 min read

How JD’s AI Generates Multimodal Product Summaries to Boost E‑Commerce

JD Cloud Developers

Dec 16, 2020 · Operations

How JD.com Mastered Billion-User Traffic for 11.11: Architecture & Scaling Secrets

During JD.com's 11.11 shopping festival, engineers tackled billions of transactions by evolving a five‑year architecture roadmap, implementing robust messaging and delay queues, deploying smart NICs, optimizing storage, and leveraging AI‑driven traffic control, all while sharing practical lessons on monitoring, load testing, and fault‑tolerance.

AIcloud computinge-commerce

0 likes · 12 min read

How JD.com Mastered Billion-User Traffic for 11.11: Architecture & Scaling Secrets

JD Cloud Developers

Dec 16, 2020 · Backend Development

How JD Logistics Scaled a Billion‑Level Async Messaging System for 11.11

JD Logistics architect Chen Haolong detailed the design, scalability strategies, and operational practices behind the billion‑level asynchronous messaging system that powered JD.com’s massive 11.11 shopping festival, revealing how the platform handled unprecedented traffic and ensured reliability.

Distributed SystemsJD LogisticsOperations

0 likes · 2 min read

How JD Logistics Scaled a Billion‑Level Async Messaging System for 11.11

JD Cloud Developers

Nov 17, 2020 · Databases

How JD Cloud’s JCHDB Powered the 11.11 Shopping Festival’s Massive Data Surge

This article explains how JD Cloud’s JCHDB database handled PB‑level data growth during the 11.11 shopping festival, detailing the high‑availability architecture, performance optimizations, scaling techniques, and the eight‑step preparation process that enabled millions of queries per second and terabit‑level traffic.

DatabasePerformancecloud

0 likes · 8 min read

How JD Cloud’s JCHDB Powered the 11.11 Shopping Festival’s Massive Data Surge

JD Cloud Developers

Oct 29, 2020 · Artificial Intelligence

How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall

JD’s recommendation team outlines three key innovations—knowledge‑graph‑based interest recall, enhanced CTR estimation with a DRM module, and a listwise ranking strategy—that together address user‑interest expansion challenges in e‑commerce, especially for cold‑start items, long‑tail products, and dynamic promotional scenarios.

CTR estimationRecommendation Systemse-commerce

0 likes · 21 min read

How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall