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813 articles · Page 6 of 9
Xianyu Technology
Xianyu Technology
Nov 11, 2020 · Industry Insights

How Alibaba’s Double‑11 Tech Stack Powers Record‑Breaking Live Commerce

Alibaba’s Double 11 2023 showcased a suite of cutting‑edge technologies—including the GRTN real‑time transmission network, edge‑AI voice interaction, massive digital infrastructure, AI‑driven smart sample rooms, and 3D virtual home‑decoration live streams—that together delivered sub‑second latency, 30% cost reduction, and unprecedented merchant scalability.

3D virtual realityBig DataDigital Infrastructure
0 likes · 11 min read
How Alibaba’s Double‑11 Tech Stack Powers Record‑Breaking Live Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 10, 2020 · Cloud Native

How Alibaba’s Cloud‑Native Architecture Powered 580K Orders per Second on 2020 Double‑11

The 2020 Tmall Double‑11 event shattered records with a peak of 583,000 orders per second, showcasing Alibaba’s digital‑native business operating system that combines cloud‑native migration, AI, big‑data streaming, real‑time video, and intelligent logistics to sustain the world’s largest traffic surge.

AIE‑commercebig-data
0 likes · 15 min read
How Alibaba’s Cloud‑Native Architecture Powered 580K Orders per Second on 2020 Double‑11
Miss Fresh Tech Team
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.

E‑commerceNode.jsVue
0 likes · 15 min read
Transforming E‑commerce Activity Pages: Inside the River Beaver Visual Builder
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Nov 7, 2020 · Backend Development

How to Layer Microservices with DDD for Scalable Java E‑Commerce

This article explains a practical approach to applying layered architecture and Domain‑Driven Design (DDD) to a Java microservice‑based fresh‑food e‑commerce platform, outlining five architectural layers, domain service partitioning, common pitfalls, and guidance for building maintainable, high‑cohesion services.

DDDE‑commerceService design
0 likes · 18 min read
How to Layer Microservices with DDD for Scalable Java E‑Commerce
Architecture Digest
Architecture Digest
Nov 7, 2020 · Backend Development

Design and Core Functions of an E‑commerce Order System

This article explains the role of an order system in traditional e‑commerce enterprises, outlines its main functional modules, describes its relationships with upstream and downstream services, and discusses core processes, inventory strategies, reverse flows, state‑machine design, and future architectural evolution.

E‑commerceWorkfloworder management
0 likes · 14 min read
Design and Core Functions of an E‑commerce Order System
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Nov 5, 2020 · Industry Insights

How Yanxuan Built an AI‑Powered Omnichannel Reach System to Maximize ROI

This article examines Yanxuan’s transition to an AI‑driven omnichannel user‑reach system, detailing the business challenges of fragmented channels, the four‑step intelligent workflow, and a four‑layer architecture that integrates data platforms, algorithm services, applications, and business operations to maximize ROI.

AI schedulingE‑commerceMarketing Optimization
0 likes · 12 min read
How Yanxuan Built an AI‑Powered Omnichannel Reach System to Maximize ROI
DataFunTalk
DataFunTalk
Nov 4, 2020 · Artificial Intelligence

Intelligent E‑commerce Search: Architecture, Techniques, and Real‑World Impact

This article explores the evolution of e‑commerce search, detailing why search matters, the technical pipeline—including query preprocessing, entity and intent recognition, knowledge‑graph construction, recall, coarse and fine ranking—and demonstrates substantial performance gains through real‑world case studies.

AIE‑commerceKnowledge Graph
0 likes · 16 min read
Intelligent E‑commerce Search: Architecture, Techniques, and Real‑World Impact
DataFunTalk
DataFunTalk
Nov 2, 2020 · Product Management

Applying User Profiling Across the User Lifecycle to Optimize E‑commerce Product Chains

This article explains how user profiling, using models like AARRR and RARRA, can be applied at each stage of the user lifecycle—pre‑acquisition, active use, and post‑churn—to enhance e‑commerce product chain optimization through data‑driven insights, channel selection, and personalized services.

AARRRData‑Driven OptimizationE‑commerce
0 likes · 13 min read
Applying User Profiling Across the User Lifecycle to Optimize E‑commerce Product Chains
Suning Technology
Suning Technology
Oct 30, 2020 · Operations

Designing Suning’s Multi‑Data‑Center Active‑Active Architecture for Scalable E‑Commerce

Suning built a multi‑data‑center active‑active solution that combines primary‑backup, same‑city active‑active, and full multi‑active modes, defines top‑level design goals, values and principles, and implements a comprehensive architecture, routing, high‑availability, hybrid‑cloud and disaster‑recovery strategy to support massive e‑commerce growth.

E‑commerceMulti-Data Centercloud architecture
0 likes · 22 min read
Designing Suning’s Multi‑Data‑Center Active‑Active Architecture for Scalable E‑Commerce
JD Cloud Developers
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 estimationE‑commerceKnowledge Graph
0 likes · 21 min read
How JD Leverages Knowledge Graphs for Better E‑commerce Interest Recall
Java Backend Technology
Java Backend Technology
Oct 29, 2020 · Operations

How to Prevent Duplicate Payments and Order Expiration in Payment Systems

This article examines common payment system anomalies such as duplicate charges and order expiration, explains how asynchronous and synchronous payment flows contribute to these issues, and provides both pre‑payment and post‑payment strategies—including UI improvements, return URLs, status checks, and automated refunds—to prevent and resolve them.

E‑commercePayment Integrationasynchronous payment
0 likes · 8 min read
How to Prevent Duplicate Payments and Order Expiration in Payment Systems
Programmer DD
Programmer DD
Oct 29, 2020 · Backend Development

Designing Scalable E‑Commerce Order Systems: Architecture, Core Functions, and Future Trends

This article examines the role of order systems in traditional e‑commerce enterprises, outlines their main functional modules and architectural design, explains forward and reverse order flows, discusses inventory deduction strategies and state‑machine management, and explores future development directions for unified order platforms.

E‑commerceorder-systemprocess engine
0 likes · 14 min read
Designing Scalable E‑Commerce Order Systems: Architecture, Core Functions, and Future Trends
JD Retail Technology
JD Retail Technology
Oct 16, 2020 · Industry Insights

How JD’s PLUS Membership Used Data and Algorithms to Drive Growth

This article examines JD.com’s transition from traffic‑driven acquisition to a data‑centric, algorithm‑powered membership model, detailing the construction of a robust data foundation, multi‑level analysis methods, productized dashboards, and growth‑hacking experiments that boosted PLUS member retention and revenue.

AlgorithmE‑commerceGrowth Hacking
0 likes · 24 min read
How JD’s PLUS Membership Used Data and Algorithms to Drive Growth
JD.com Experience Design Center
JD.com Experience Design Center
Oct 9, 2020 · Product Management

Designing an Immersive Membership System to Drive Acquisition, Activation, and Retention

This article analyzes JD International's early‑stage membership program, proposing a multi‑module design—exciting benefits, clear behavioral goals, brand‑driven immersive tasks, scenario‑based implementation, and diversified growth pathways—to boost user acquisition, activation, and long‑term retention.

E‑commerceUser Acquisitiongamification
0 likes · 11 min read
Designing an Immersive Membership System to Drive Acquisition, Activation, and Retention
DataFunTalk
DataFunTalk
Oct 4, 2020 · Artificial Intelligence

Reinforcement Learning for Product Ranking: Model Design, Experiments, and Online Deployment

This article presents a comprehensive study of using reinforcement learning to improve e‑commerce product ranking, covering the limitations of traditional scoring, the design of context‑aware models, a pointer‑network based sequence generator, various RL algorithms, extensive offline evaluations, and successful online deployment with future research directions.

Deep LearningE‑commercePPO
0 likes · 28 min read
Reinforcement Learning for Product Ranking: Model Design, Experiments, and Online Deployment
Architecture Digest
Architecture Digest
Oct 2, 2020 · Backend Development

Design and Core Functions of an E‑commerce Order System

This article explains the role, architecture, key modules, workflow, state machine, and future evolution of an order system in traditional e‑commerce enterprises, providing a comprehensive guide for designing and improving order management solutions.

E‑commerceWorkflowinventory management
0 likes · 14 min read
Design and Core Functions of an E‑commerce Order System
DataFunTalk
DataFunTalk
Oct 1, 2020 · Artificial Intelligence

Building and Applying a Vector System for Search and Recommendation at NetEase Yanxuan

This article describes how NetEase Yanxuan has designed, trained, and deployed a unified vector representation system to power various e‑commerce search and recommendation scenarios, covering model choices, incremental learning strategies, large‑scale similarity computation, and practical lessons from real‑world deployments.

E‑commerceMachine Learninglarge-scale similarity
0 likes · 18 min read
Building and Applying a Vector System for Search and Recommendation at NetEase Yanxuan
DataFunTalk
DataFunTalk
Sep 19, 2020 · Artificial Intelligence

AliCoCo: Alibaba’s E‑commerce Cognitive Concept Net – Architecture, Construction, and Applications

The article presents AliCoCo, Alibaba’s large‑scale e‑commerce knowledge graph that models user demand as concepts, describes its four‑layer architecture, the algorithms for concept extraction, taxonomy building, and item association, and demonstrates its impact on search and recommendation systems.

AlibabaE‑commerceKnowledge Graph
0 likes · 22 min read
AliCoCo: Alibaba’s E‑commerce Cognitive Concept Net – Architecture, Construction, and Applications
JD.com Experience Design Center
JD.com Experience Design Center
Sep 17, 2020 · Product Management

How JD’s Ranking Page Supercharged 618 Sales: Design, Data, and Efficiency Hacks

This case study details how JD.com’s ranking page for the 618 promotion leveraged data‑driven navigation, visual redesign, pixel‑perfect front‑end techniques, and component‑based development to boost click‑through rates, conversion, and overall GMV while outlining future optimization directions.

E‑commerceUI designdata optimization
0 likes · 12 min read
How JD’s Ranking Page Supercharged 618 Sales: Design, Data, and Efficiency Hacks
macrozheng
macrozheng
Sep 14, 2020 · Backend Development

How the Mall Open‑Source E‑Commerce Project Grew to 40K Stars

The article chronicles the evolution of the open‑source Java e‑commerce project “mall”, detailing its rise from 20K to over 40K GitHub stars, the transition to microservices with Spring Cloud, deployment enhancements, auxiliary tools like Docker, Jenkins and MinIO, and future ecosystem plans.

E‑commerceJavaSpringBoot
0 likes · 9 min read
How the Mall Open‑Source E‑Commerce Project Grew to 40K Stars
DataFunTalk
DataFunTalk
Sep 14, 2020 · Artificial Intelligence

New Generation Rank Technology: Search‑Based Interest Model (SIM) and Dynamic Computation Allocation Framework (DCAF) for Alibaba Directed Advertising

This article presents Alibaba's latest ranking innovations for directed e‑commerce advertising, detailing the challenges of long‑term user interest modeling, the Search‑Based Interest Model (SIM) that extends behavior sequences to ten thousand actions, and the Dynamic Computation Allocation Framework (DCAF) that optimizes per‑request compute resources to maximize system revenue.

AdvertisingCTR modelE‑commerce
0 likes · 29 min read
New Generation Rank Technology: Search‑Based Interest Model (SIM) and Dynamic Computation Allocation Framework (DCAF) for Alibaba Directed Advertising
DataFunTalk
DataFunTalk
Aug 19, 2020 · Artificial Intelligence

Fraudar: Graph-Based Fraud Detection in E‑commerce Transaction Networks

The article presents a comprehensive overview of e‑commerce fraud, especially brush‑order schemes, and introduces the Fraudar algorithm—a graph‑based unsupervised method that leverages bipartite network analysis, global suspiciousness metrics, priority‑tree optimization, and collaborative supervised training to efficiently identify dense fraudulent sub‑graphs.

E‑commerceFraudarGraph Algorithms
0 likes · 15 min read
Fraudar: Graph-Based Fraud Detection in E‑commerce Transaction Networks
Suning Technology
Suning Technology
Aug 18, 2020 · Backend Development

Boosting Mega‑Sale Stability: Suning’s Backend Data Components in Action

The article details how Suning’s transaction middle‑platform leverages custom TPS collection, advanced flow‑control, big‑data analytics, and AI‑driven forecasting to ensure system stability, capacity planning, and intelligent inventory distribution during the high‑traffic 818 promotional event.

AIBig DataE‑commerce
0 likes · 17 min read
Boosting Mega‑Sale Stability: Suning’s Backend Data Components in Action
JD.com Experience Design Center
JD.com Experience Design Center
Aug 18, 2020 · Product Management

How JD.com Boosted Order Volume in 618 Sale with Innovative Downstream Event Design

This case study details JD.com's strategy to attract price‑sensitive users during the 618 promotion by redefining core metrics, enhancing visual content, implementing interactive front‑end features, and optimizing retention mechanisms, resulting in significant order growth and improved user perception of value.

E‑commerceMetricsfrontend
0 likes · 16 min read
How JD.com Boosted Order Volume in 618 Sale with Innovative Downstream Event Design
Java Architect Essentials
Java Architect Essentials
Aug 14, 2020 · Industry Insights

Designing High‑Performance, Scalable Architecture for Large‑Scale Websites

This article provides a comprehensive overview of large‑scale website architecture, covering characteristic traits, performance and availability goals, layered design patterns, security measures, scalability and extensibility strategies, evolution stages, capacity estimation, and practical optimization techniques for e‑commerce platforms.

Distributed ArchitectureE‑commercehigh availability
0 likes · 25 min read
Designing High‑Performance, Scalable Architecture for Large‑Scale Websites
JD.com Experience Design Center
JD.com Experience Design Center
Aug 10, 2020 · Frontend Development

How JD’s ‘My Exclusive’ 618 Page Boosted Conversions with Front‑End Innovations

The article details JD.com’s “My Exclusive” 618 page redesign, describing how user‑centric browsing flows, exclusive visual atmospheres, and front‑end techniques like SVG gradients, IntersectionObserver animations, and dynamic gift‑pack effects boosted conversion rates and service growth during the promotion.

Conversion OptimizationE‑commerceanimation
0 likes · 12 min read
How JD’s ‘My Exclusive’ 618 Page Boosted Conversions with Front‑End Innovations
JD Tech Talk
JD Tech Talk
Aug 7, 2020 · Information Security

Fraudar: Graph-Based Fraud Detection in Bipartite Transaction Networks

The article explains how e‑commerce fraud such as fake order brushing can be modeled as a bipartite transaction network and tackled with the Fraudar algorithm, which iteratively removes low‑suspicion nodes using a global suspiciousness metric and priority‑tree structures to uncover dense suspicious sub‑graphs.

E‑commerceGraph AlgorithmsUnsupervised Learning
0 likes · 14 min read
Fraudar: Graph-Based Fraud Detection in Bipartite Transaction Networks
Xianyu Technology
Xianyu Technology
Aug 6, 2020 · Product Management

Xianyu Product Understanding and Quality Item Selection Framework

Xianyu’s new quality‑item framework evaluates each listing through product, supply‑demand, price, and seller attributes to compute a quality score, optimizes a balanced pool of high‑quality items, and—validated by back‑testing and simulations—boosts click‑through and payment conversion rates dramatically.

E‑commerceOptimizationdata modeling
0 likes · 8 min read
Xianyu Product Understanding and Quality Item Selection Framework
Zhongtong Tech
Zhongtong Tech
Jul 25, 2020 · Operations

How ZTO Express Leveraged Technology to Become China’s Logistics Leader

This presentation details ZTO Express’s rapid rise from a modest startup to the world’s largest courier by exploring its technology‑driven business model, crowd‑funded expansion, electronic waybills, smart routing, AI customer service, employee equity schemes, and future digital logistics strategies.

AIE‑commerceTechnology
0 likes · 27 min read
How ZTO Express Leveraged Technology to Become China’s Logistics Leader
JD Retail Technology
JD Retail Technology
Jul 15, 2020 · Artificial Intelligence

Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com

The paper introduces a Category‑Specific Convolutional Neural Network (CSCNN) that jointly leverages product category information and visual features of e‑commerce images to improve click‑through‑rate (CTR) prediction, detailing its architecture, training strategy, large‑scale experiments, and significant performance gains in JD.com’s advertising system.

AdvertisingCTR predictionE‑commerce
0 likes · 13 min read
Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com
Xianyu Technology
Xianyu Technology
Jul 9, 2020 · Product Management

Xianyu Product Structuring: Evolution, Current Strategies, and Future Directions

Xianyu’s product‑information structuring has progressed from simple text mining to multimodal AI pipelines that now boost coverage by nearly 50 %, while facing precision and engineering hurdles, and it plans to adopt a standardized VID attribute system, plug‑in multimodal models, and rule‑based input assistance to enable seamless, photo‑driven publishing.

E‑commerceMultimodal AIRule Engine
0 likes · 10 min read
Xianyu Product Structuring: Evolution, Current Strategies, and Future Directions
Taobao Frontend Technology
Taobao Frontend Technology
Jul 7, 2020 · Frontend Development

Transforming Taobao Front‑End: The Industry Cube’s Fast‑Track Module System

The article explains how Taobao’s front‑end team created the Industry Cube platform—a data‑driven, component‑based system that streamlines the rapid construction, operation, and maintenance of industry pages, addressing scalability, performance, and customization challenges encountered during large‑scale events like the 618 promotion.

Component ArchitectureE‑commercedata-driven UI
0 likes · 7 min read
Transforming Taobao Front‑End: The Industry Cube’s Fast‑Track Module System
Taobao Frontend Technology
Taobao Frontend Technology
Jun 29, 2020 · Frontend Development

Inside Alibaba’s Front‑End Engine: Powering the 618 Mega‑Sale

This article outlines how Alibaba's Taobao front‑end team built a comprehensive engineering, architecture, and platform ecosystem—including Rax, ICE, PWA, and custom interactive tools—to ensure the 2020 618 e‑commerce promotion ran smoothly and delivered high performance, scalability, and innovative user experiences.

E‑commerceICEPWA
0 likes · 12 min read
Inside Alibaba’s Front‑End Engine: Powering the 618 Mega‑Sale
DataFunTalk
DataFunTalk
Jun 15, 2020 · Artificial Intelligence

Understanding and Handling Bad Cases in E-commerce Recommendation Systems

The article explores why bad cases occur in e‑commerce recommendation and search pipelines, classifies their types, demonstrates data‑driven analysis methods, and proposes practical online and offline strategies—including rule‑based fixes, model improvements, and iterative feedback loops—to continuously improve user experience and business metrics.

E‑commerceMachine Learningbadcase
0 likes · 23 min read
Understanding and Handling Bad Cases in E-commerce Recommendation Systems
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.

E‑commerceJD.comUX design
0 likes · 11 min read
How JD’s “Hundred Billion Subsidy” Brand Was Revamped for Better User Engagement
JD Retail Technology
JD Retail Technology
Jun 5, 2020 · Operations

How JD Cloud Engineered a Seamless 618 Shopping Surge: Ops Strategies & Disaster Drills

This article details JD Cloud's comprehensive operational preparation for the 618 shopping festival, covering early resource procurement, hardware fault management, network and CDN scaling, extensive capacity‑testing, disaster‑recovery drills, and cross‑departmental coordination that together ensured stable service during massive traffic spikes.

Cloud OperationsE‑commercecapacity planning
0 likes · 8 min read
How JD Cloud Engineered a Seamless 618 Shopping Surge: Ops Strategies & Disaster Drills
DataFunTalk
DataFunTalk
Jun 3, 2020 · Artificial Intelligence

Semantic Retrieval and Product Ranking in JD E‑commerce Search

This article presents JD's e‑commerce search system, detailing the semantic vector retrieval and product ranking pipelines, the two‑tower deep learning architecture, attention‑based personalization, negative sampling strategies, training optimizations, and real‑world performance gains achieved in production.

Deep LearningE‑commercepersonalization
0 likes · 11 min read
Semantic Retrieval and Product Ranking in JD E‑commerce Search
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 2, 2020 · Artificial Intelligence

How FashionBERT Boosts E‑Commerce Image‑Text Matching with Patch Embeddings

This article introduces FashionBERT, a multimodal BERT‑based model that replaces ROI‑based image tokens with uniform image patches to overcome e‑commerce specific challenges, details its architecture, adaptive loss balancing, deployment in Alibaba search, and reports significant performance gains on public and internal datasets.

BERTDeep LearningE‑commerce
0 likes · 13 min read
How FashionBERT Boosts E‑Commerce Image‑Text Matching with Patch Embeddings
Yanxuan Tech Team
Yanxuan Tech Team
Jun 1, 2020 · Operations

Why Simulation Is Essential for E‑Commerce Supply Chain Optimization

Simulation enables low‑cost, time‑agnostic testing of e‑commerce supply‑chain strategies—covering procurement, inter‑warehouse allocation, and order dispatch—by combining precedent, experimentation, and modeling, offering a more flexible and comprehensive alternative to AB‑testing for evaluating policies, algorithms, and configurations.

E‑commerceOptimizationPlatform design
0 likes · 15 min read
Why Simulation Is Essential for E‑Commerce Supply Chain Optimization
21CTO
21CTO
May 29, 2020 · Product Management

Unlocking Business Growth with User & Product Profiling: A Practical Guide

This article explains how to build a digital ecosystem using user and product profiling, covering the concepts, motivations, construction methods, and real‑world applications to drive precise marketing, improve product experience, and achieve sustainable business growth.

AnalyticsE‑commercedata-driven
0 likes · 20 min read
Unlocking Business Growth with User & Product Profiling: A Practical Guide
21CTO
21CTO
May 16, 2020 · Backend Development

How TMF2.0 Revolutionizes E‑Commerce Platforms with Full‑Link Business Identity

The article examines the challenges faced by Alibaba’s massive e‑commerce transaction system during peak events, outlines four key pain points—including lack of full‑link demand management, high platform entry barriers, insufficient business‑platform separation, and missing reusable assets—and presents the TMF2.0 framework’s design principles and solutions such as plugin‑based architecture, unified business identity, and separated management and runtime domains to improve development speed, scalability, and operational stability.

E‑commerceTMF2.0business identity
0 likes · 20 min read
How TMF2.0 Revolutionizes E‑Commerce Platforms with Full‑Link Business Identity
JD.com Experience Design Center
JD.com Experience Design Center
May 15, 2020 · Product Management

How to Redesign a Low‑Price E‑Commerce Channel for the Bottom‑Tier Market

This article details a comprehensive redesign of a low‑price e‑commerce channel targeting lower‑tier cities, outlining scenario‑based positioning, design strategies such as amplified benefits, grassroots copy, lively atmosphere, trust building, and measurable improvements in conversion and user perception.

E‑commerceProduct StrategyUI redesign
0 likes · 11 min read
How to Redesign a Low‑Price E‑Commerce Channel for the Bottom‑Tier Market
DataFunTalk
DataFunTalk
May 13, 2020 · Artificial Intelligence

Designing and Scaling Recommendation Systems for Cross‑border E‑commerce Growth

This article shares the author’s experience at Club Factory, describing the business model, growth challenges, macro‑ and micro‑level analysis, and detailed technical breakdowns of recommendation system components—including recall, ranking, user interest modeling, evaluation metrics, and ecosystem considerations—to guide scalable e‑commerce growth.

E‑commerceGrowth StrategyMachine Learning
0 likes · 17 min read
Designing and Scaling Recommendation Systems for Cross‑border E‑commerce Growth
Alibaba Cloud Developer
Alibaba Cloud Developer
May 11, 2020 · Artificial Intelligence

How Reinforcement Learning Revolutionizes E‑commerce Product Ranking

This article details the evolution of AliExpress product ranking from simple DNN scoring to advanced reinforcement‑learning re‑ranking, comparing multiple models, exploring context effects, introducing pointer‑network generators, evaluating various RL algorithms, and reporting significant online gains in conversion and GMV.

E‑commerceReinforcement Learningonline experiments
0 likes · 28 min read
How Reinforcement Learning Revolutionizes E‑commerce Product Ranking
JD.com Experience Design Center
JD.com Experience Design Center
May 9, 2020 · Fundamentals

10 Essential E‑Commerce Metrics Every Analyst Should Master

This article explains the purpose and types of data metrics, outlines a logical framework for analyzing e‑commerce performance from traffic to behavior to transaction, and details ten key metrics—including GMV, conversion rate, UV value, click‑through and exposure rates—along with practical interpretation tips.

AnalyticsData MetricsE‑commerce
0 likes · 12 min read
10 Essential E‑Commerce Metrics Every Analyst Should Master
Dual-Track Product Journal
Dual-Track Product Journal
May 7, 2020 · Product Management

Mastering E‑Commerce Product Management: From SPU & SKU to Full Lifecycle

This comprehensive guide explains the core concepts of e‑commerce product systems—including SPU and SKU definitions, their relationships, and the complete product management workflow covering publishing, editing, inventory, payment, logistics, and status transitions—providing essential knowledge for building robust online retail platforms.

CatalogE‑commerceInventory
0 likes · 11 min read
Mastering E‑Commerce Product Management: From SPU & SKU to Full Lifecycle
Suning Technology
Suning Technology
Apr 27, 2020 · Artificial Intelligence

How 20 Retail Tech Companies Navigate Pandemic Challenges and Spot New Opportunities

A comprehensive survey by Suning Retail Technology Institute and the Asia‑Pacific Smart Retail Industry Alliance reveals how twenty retail technology firms faced COVID‑19 disruptions, optimized operations, accelerated digital transformation, and identified emerging growth points in AI, big data, and omnichannel retail.

Artificial IntelligenceBig DataCOVID-19 Impact
0 likes · 17 min read
How 20 Retail Tech Companies Navigate Pandemic Challenges and Spot New Opportunities
JD Retail Technology
JD Retail Technology
Apr 7, 2020 · Artificial Intelligence

Fine-Grained Personalized Recommendation System Architecture for E-commerce

This article outlines the engineering architecture of a fine‑grained, personalized recommendation system for e‑commerce, covering core components such as feature data (offline and real‑time), algorithm engine (recall and ranking), technology choices like MongoDB, Elasticsearch, Kafka, Redis, and model deployment strategies.

E‑commercealgorithm enginefeature data
0 likes · 9 min read
Fine-Grained Personalized Recommendation System Architecture for E-commerce
JD Retail Technology
JD Retail Technology
Apr 2, 2020 · Artificial Intelligence

How Deep Learning Powers Text Detection in E‑commerce Posters

This article surveys state‑of‑the‑art deep‑learning techniques for scene text detection and recognition in e‑commerce poster images, detailing models such as CTPN, TextBoxes, SegLink, EAST, and end‑to‑end frameworks, and discusses their architectures, strengths, limitations, and future challenges.

Deep LearningE‑commercecomputer vision
0 likes · 16 min read
How Deep Learning Powers Text Detection in E‑commerce Posters
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 31, 2020 · Artificial Intelligence

How Alibaba’s AliCoCo Knowledge Graph Revolutionizes E‑Commerce Search & Recommendation

Alibaba’s AliCoCo, a large‑scale e‑commerce cognitive concept net, models user needs as graph nodes, linking concepts, primitives, taxonomy and items, and leverages advanced NLP, BiLSTM‑CRF, projection learning and knowledge‑enhanced models to boost search relevance, recommendation diversity, and overall user experience.

E‑commerceKnowledge GraphNatural Language Processing
0 likes · 25 min read
How Alibaba’s AliCoCo Knowledge Graph Revolutionizes E‑Commerce Search & Recommendation
Dual-Track Product Journal
Dual-Track Product Journal
Mar 25, 2020 · Product Management

Mastering E‑Commerce Category Design: From Backend Foundations to Frontend Mapping

This article explains how well‑designed product categories serve as the backbone of an e‑commerce platform, covering the concepts of backend and frontend categories, the construction of category trees, and various mapping strategies that help both users find items quickly and operators manage large inventories efficiently.

E‑commercebackendcategory design
0 likes · 8 min read
Mastering E‑Commerce Category Design: From Backend Foundations to Frontend Mapping
DataFunTalk
DataFunTalk
Mar 23, 2020 · Artificial Intelligence

Deep Learning Applications in Alibaba 1688 B2B E‑commerce Recommendation System: From Deep Match to Live Content Ranking

This article details how Alibaba's 1688 B2B platform leverages deep learning techniques—including Deep Match, DIN, DIEN, DMR, and heterogeneous network models—to evolve its product recall, ranking, and live‑content recommendation pipelines, highlighting system architecture, practical lessons, and online performance improvements.

AlibabaDeep LearningE‑commerce
0 likes · 14 min read
Deep Learning Applications in Alibaba 1688 B2B E‑commerce Recommendation System: From Deep Match to Live Content Ranking
Suning Technology
Suning Technology
Mar 17, 2020 · Operations

How Retail Giants Can Thrive in Internet Healthcare: Insights and Strategies

This report analyzes how the COVID‑19 pandemic has turned healthcare into a fast‑growing e‑commerce opportunity, examines Suining's online medical initiatives, and explores whether retail firms' rapid response signals a new wave of entrants into the internet‑healthcare market.

COVID-19E‑commercedigital transformation
0 likes · 3 min read
How Retail Giants Can Thrive in Internet Healthcare: Insights and Strategies
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 13, 2020 · Artificial Intelligence

How Deep Match to Rank Boosts CTR Prediction in E‑Commerce Recommendations

The article presents the Deep Match to Rank (DMR) model, which integrates collaborative‑filtering inspired user‑to‑item relevance modeling into the ranking stage of recommendation systems, achieving significant offline and online improvements in click‑through rate and revenue metrics for e‑commerce platforms.

CTR predictionDeep LearningE‑commerce
0 likes · 11 min read
How Deep Match to Rank Boosts CTR Prediction in E‑Commerce Recommendations
macrozheng
macrozheng
Mar 11, 2020 · Backend Development

Mastering mall-swarm: Build a Spring Cloud Microservice E‑Commerce System

This article introduces mall‑swarm, a Spring Cloud‑based microservice e‑commerce platform, outlines its architecture, backend technology stack, project structure, and provides a detailed learning roadmap with tutorials, deployment guides, and integration tips for both backend and frontend developers.

E‑commercemicroservicesspring-cloud
0 likes · 10 min read
Mastering mall-swarm: Build a Spring Cloud Microservice E‑Commerce System
Youzan Coder
Youzan Coder
Mar 4, 2020 · Mobile Development

Unified Online Store Product SDK: Architecture, Modularization, and Mobile Gateway Integration

The unified online‑store product SDK consolidates Retail and Micro‑Mall modules into a reusable, Bifrost‑mediated component that accesses host‑app data via a defined interface, adopts standardized UI elements, routes through a mobile‑gateway backend, and thus eliminates duplication, streamlines maintenance, and accelerates feature delivery across Youzan’s SaaS platforms.

AndroidE‑commerceModularization
0 likes · 14 min read
Unified Online Store Product SDK: Architecture, Modularization, and Mobile Gateway Integration
DataFunTalk
DataFunTalk
Feb 26, 2020 · Artificial Intelligence

User Growth, Full‑Stack Growth System, and Deep Learning Applications in Search at Alibaba 1688

This article presents a comprehensive overview of Alibaba 1688’s user‑growth strategy, full‑link growth system, intelligent coupon and push mechanisms, and the application of deep‑learning and optimization techniques in search and order‑aggregation, illustrating how data‑driven algorithms drive e‑commerce performance.

AIAlibabaE‑commerce
0 likes · 20 min read
User Growth, Full‑Stack Growth System, and Deep Learning Applications in Search at Alibaba 1688
WecTeam
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.

E‑commercefrontendtemplate engine
0 likes · 21 min read
How JD’s Mart Page Maker Revolutionizes Front‑End Development with Zero‑Code Visual Building
转转QA
转转QA
Jan 9, 2020 · Operations

Live Streaming Architecture, Testing Focus, and Automation Solutions at ZheZhe

The article outlines ZheZhe's live streaming system for e‑commerce, describing its recording‑encoding‑transmission‑decoding‑playback architecture, key testing areas such as stream quality, messaging and business functions, and the automated solutions—including a message‑simulation service and Python‑Puppeteer checks—implemented to improve reliability and efficiency.

E‑commerceautomationbackend
0 likes · 6 min read
Live Streaming Architecture, Testing Focus, and Automation Solutions at ZheZhe
JD Retail Technology
JD Retail Technology
Jan 8, 2020 · Operations

Comprehensive Guide to E‑commerce Promotion Traffic Management and System Preparation

This article explains how e‑commerce promotions differ from offline sales by offering lower participation thresholds and flexible discount tactics, outlines methods for estimating and handling traffic spikes, and provides detailed strategies for system capacity planning, load testing, monitoring, and incident response to ensure stable large‑scale promotional events.

E‑commerceMonitoringScaling
0 likes · 23 min read
Comprehensive Guide to E‑commerce Promotion Traffic Management and System Preparation
Aotu Lab
Aotu Lab
Jan 2, 2020 · Frontend Development

How to Build a Multi‑Platform E‑Commerce App with Taro and Cloud Development

The article explains how startups can quickly create low‑cost, lightweight multi‑platform e‑commerce applications by combining Tencent Cloud's cloud development services with the Taro framework, covering challenges, concepts of low‑cost and light‑mode, setup steps, and a real‑world example.

E‑commerceTaROcloud development
0 likes · 8 min read
How to Build a Multi‑Platform E‑Commerce App with Taro and Cloud Development
Programmer DD
Programmer DD
Dec 27, 2019 · Backend Development

How Perfect Diary Scaled Its E‑commerce Platform for Double‑11: Backend Lessons

During Double‑11 2022, Perfect Diary built a micro‑service e‑commerce platform in four months, confronting distributed transactions, database overload, cache pressure, and traffic spikes, and then applied cloud‑native optimizations, rate‑limiting, and pressure testing to achieve record‑breaking sales performance.

Cloud ComputingDistributed TransactionsE‑commerce
0 likes · 9 min read
How Perfect Diary Scaled Its E‑commerce Platform for Double‑11: Backend Lessons
macrozheng
macrozheng
Dec 23, 2019 · Backend Development

From 0 to 30K Stars: Building an Open-Source SpringBoot E-Commerce Suite

In this year-end reflection, the author details the creation of several open-source projects—including a SpringBoot-based e-commerce system, its Vue admin panel, a learning tutorial, a lightweight skeleton, and a Spring Cloud micro-service version—highlighting the technologies, documentation, and architectural diagrams that earned over 30 k GitHub stars.

E‑commercemicroservicesopen-source
0 likes · 7 min read
From 0 to 30K Stars: Building an Open-Source SpringBoot E-Commerce Suite
Mafengwo Technology
Mafengwo Technology
Dec 13, 2019 · Backend Development

How Go‑Powered IM Architecture Boosted E‑commerce Messaging Performance

This article explains how a travel e‑commerce platform rebuilt its instant‑messaging service with Go, separating business logic, introducing a dual‑layer distributed architecture, and optimizing performance and reliability to handle massive concurrent connections and improve overall GMV.

E‑commerceGoInstant Messaging
0 likes · 16 min read
How Go‑Powered IM Architecture Boosted E‑commerce Messaging Performance
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 12, 2019 · Artificial Intelligence

How Multi‑Layer Multi‑Frequency Streaming Training Boosts Real‑Time CTR/CVR Prediction

This article details a novel Multi‑Layer Multi‑Frequency streaming training approach that enables minute‑level real‑time updates of massive CTR/CVR models by partitioning weights into freezing embeddings, changing embeddings, and changing weights, demonstrating significant offline and online AUC gains, especially during high‑traffic events like Double 11.

CTR predictionE‑commerceMachine Learning
0 likes · 18 min read
How Multi‑Layer Multi‑Frequency Streaming Training Boosts Real‑Time CTR/CVR Prediction
Efficient Ops
Efficient Ops
Dec 3, 2019 · Operations

How E‑commerce SRE Teams Tackle Scale, Cost, and Speed Challenges

The talk outlines the unique operational challenges of a fast‑growing e‑commerce platform—including massive scale, frequent changes, cost pressures, and the trade‑off between speed and stability—and describes how the SRE team uses automation, capacity planning, and process engineering to deliver reliable, efficient services.

E‑commerceSRE
0 likes · 29 min read
How E‑commerce SRE Teams Tackle Scale, Cost, and Speed Challenges
Xianyu Technology
Xianyu Technology
Nov 28, 2019 · Big Data

Data‑Driven Seller Activity Enhancement on Xianyu

The Xianyu team built a data‑driven system that monitors seller online status and reply speed, uses Siddhi CEP to match behavior patterns, and orchestrates activities, tasks, and synchronization modules, boosting conversion by three percentage points and allowing new scenarios to launch without developer effort.

CEPE‑commerceStream Processing
0 likes · 8 min read
Data‑Driven Seller Activity Enhancement on Xianyu
FangDuoduo UEDC
FangDuoduo UEDC
Nov 27, 2019 · Product Management

How Can E‑Commerce Platforms Prevent Costly Listing Errors?

A recent Tmall incident where a unit‑typo caused massive orders highlights the need for system validation, inventory controls, and real‑time alerts, prompting practical suggestions to help merchants avoid similar costly mistakes and mitigate damage when they occur.

E‑commerceinventory controlproduct management
0 likes · 3 min read
How Can E‑Commerce Platforms Prevent Costly Listing Errors?
JD Retail Technology
JD Retail Technology
Nov 19, 2019 · Industry Insights

How JD Retail’s Tech-Driven Strategies Redefine Modern E‑Commerce

JD Retail’s CEO Xu Lei outlined the company’s technology‑driven retail roadmap, highlighting the mature C2M model, real‑time price health management powered by big data and AI, an intelligent fulfillment brain enabling 15‑minute deliveries, and AI‑enhanced customer service, all backed by massive R&D investment.

AIC2ME‑commerce
0 likes · 8 min read
How JD Retail’s Tech-Driven Strategies Redefine Modern E‑Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 15, 2019 · Artificial Intelligence

Boosting Online Shopping with AI-Powered 3D Scene Merchandising

This article explores how Alibaba’s 3D scene‑based recommendation system combines computer‑vision, deep‑learning and data‑driven matching algorithms to create immersive, size‑accurate product visualizations that enhance user experience and drive higher click‑through rates in e‑commerce.

3d-visualizationDeep LearningE‑commerce
0 likes · 12 min read
Boosting Online Shopping with AI-Powered 3D Scene Merchandising
JD Retail Technology
JD Retail Technology
Nov 7, 2019 · Operations

7FRESH Technical Preparation for the 11.11 Shopping Festival: System Scaling, Degradation Strategies, Emergency Plans, Performance Testing, and Operational Monitoring

The article details how 7FRESH's R&D, testing, network operations, and product teams coordinated system capacity expansion, degradation mechanisms, emergency response procedures, extensive performance testing, and 24/7 monitoring to ensure stable and scalable service during the high‑traffic 11.11 shopping event.

E‑commercecapacity planningdegradation
0 likes · 10 min read
7FRESH Technical Preparation for the 11.11 Shopping Festival: System Scaling, Degradation Strategies, Emergency Plans, Performance Testing, and Operational Monitoring
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 30, 2019 · Big Data

How Real-Time Big Data Pipelines Detect E‑Commerce Ad Misplacements

This article explains how a large‑scale e‑commerce search advertising system uses real‑time big‑data pipelines, log synchronization, NoSQL storage, and proactive verification to automatically discover and correct ad placement errors across the entire data processing chain, protecting both advertisers and the platform.

Big DataData PipelineE‑commerce
0 likes · 13 min read
How Real-Time Big Data Pipelines Detect E‑Commerce Ad Misplacements
58 Tech
58 Tech
Oct 28, 2019 · Artificial Intelligence

Ranking Strategy Optimization Practice in 58 Commercial Traffic

This article details the comprehensive optimization of 58's commercial traffic ranking system, covering data‑flow upgrades, advanced feature engineering, model enhancements—including online training, multi‑task and relevance models—and a multi‑factor ranking mechanism that together improve monetization efficiency and user experience.

E‑commerceMachine LearningReal-time Data Pipeline
0 likes · 16 min read
Ranking Strategy Optimization Practice in 58 Commercial Traffic
DevOps
DevOps
Oct 28, 2019 · Product Management

Etsy Case Study: Business Model, Culture, and Operational Practices

This comprehensive case study examines Etsy’s origins, business model, cultural influences, leadership transitions, technical and operational reforms, marketplace economics, community‑driven marketing tactics, recent policy changes, and financial performance, providing valuable insights for product managers and operations professionals.

EtsyE‑commerce
0 likes · 15 min read
Etsy Case Study: Business Model, Culture, and Operational Practices
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 10, 2019 · Artificial Intelligence

Boosting Spring Festival Activity: Alibaba’s Full‑Link Intelligent Delivery Framework

This article explains how Alibaba’s Hand‑Taobao platform uses a full‑link intelligent delivery framework—combining user intent recognition, rights recommendation, and advanced machine‑learning models such as XFTRL and Thompson Sampling—to predict activity drops during the Spring Festival and deliver personalized interventions that significantly improve DAU, click‑through, and redemption rates.

A/B testingE‑commerceMachine Learning
0 likes · 12 min read
Boosting Spring Festival Activity: Alibaba’s Full‑Link Intelligent Delivery Framework
FangDuoduo UEDC
FangDuoduo UEDC
Sep 3, 2019 · Product Management

How Taobao’s Homepage Recommendations Work: Full‑Page vs Section‑Focused Browsing

This article examines Taobao’s homepage recommendation system, comparing the full‑page browsing mode that displays a continuous stream of items with the section‑focused mode that groups products into distinct blocks, highlighting their design principles, user experience implications, and underlying recommendation strategies.

E‑commerceTaobaoUI design
0 likes · 1 min read
How Taobao’s Homepage Recommendations Work: Full‑Page vs Section‑Focused Browsing
JD Retail Technology
JD Retail Technology
Sep 2, 2019 · Operations

How a Real‑Time H5 Monitoring Platform Solves E‑Commerce Activity Issues

Facing frequent user complaints about broken, slow, or misleading H5 activity pages, JD’s massive e‑commerce operations categorize issues into four types and deploy the Woodpecker platform—a scalable, real‑time monitoring and analysis system that pre‑detects configuration errors, server faults, development bugs, and minor UX flaws, while offering extensible, configurable alerts and historical scans.

AIE‑commerceH5 monitoring
0 likes · 15 min read
How a Real‑Time H5 Monitoring Platform Solves E‑Commerce Activity Issues
Tencent Cloud Developer
Tencent Cloud Developer
Aug 23, 2019 · Industry Insights

How Cloud and Mini‑Programs Are Redefining E‑Commerce: Key Takeaways from the Hangzhou Developer Summit

The Hangzhou Cloud+ Community Developer Summit showcased how cloud services, multi‑active architectures, live‑streaming innovations, and zero‑cost acquisition strategies are reshaping e‑commerce, offering developers concrete technical insights and practical guidance for building next‑generation shopping experiences.

E‑commercecommunity operationsindustry insights
0 likes · 8 min read
How Cloud and Mini‑Programs Are Redefining E‑Commerce: Key Takeaways from the Hangzhou Developer Summit
Xianyu Technology
Xianyu Technology
Aug 20, 2019 · Artificial Intelligence

How Xianyu Boosted Sales with an AI-Powered Auto-Reply Chatbot

Xianyu tackled slow seller responses, inconsistent answers, and bargaining friction by building an AI-driven auto-reply system that extracts product attributes, generates knowledge bases, and uses intent recognition and response generation models, resulting in faster replies, higher conversion rates, and reduced seller workload.

AIAlibabaE‑commerce
0 likes · 12 min read
How Xianyu Boosted Sales with an AI-Powered Auto-Reply Chatbot
DataFunTalk
DataFunTalk
Aug 14, 2019 · Artificial Intelligence

Understanding Recommendation Systems: From Information Overload to Personalized AI Solutions

The article explores how the rapid growth of the internet has created information overload, discusses the challenges of recommendation systems such as sparsity and timeliness, outlines a four‑step personalized content pipeline, and highlights the interdisciplinary nature of building effective AI‑driven recommendation solutions.

AIBig DataE‑commerce
0 likes · 16 min read
Understanding Recommendation Systems: From Information Overload to Personalized AI Solutions
macrozheng
macrozheng
Aug 9, 2019 · Databases

Mastering Coupon System Design: Database Schemas and UI Integration

This article provides a comprehensive walkthrough of the coupon feature's database tables—including definitions for coupons, coupon history, product relations, and category relations—along with screenshots of both admin and mobile interfaces that illustrate how these tables are used in an e‑commerce system.

E‑commerceSQLcoupon
0 likes · 6 min read
Mastering Coupon System Design: Database Schemas and UI Integration
DataFunTalk
DataFunTalk
Aug 8, 2019 · Artificial Intelligence

Practical Experience of JD E‑commerce Recommendation System: Architecture, Ranking, Real‑time Updates, and Experiment Platform

This article shares JD's e‑commerce recommendation system practice, covering the overall online/offline architecture, recall and ranking modules, real‑time feature and model updates, multi‑objective and diversity strategies, first‑stage index‑based ranking, KNN recall, and a layered experiment platform for rapid iteration.

E‑commerceLearning-to-RankMachine Learning
0 likes · 14 min read
Practical Experience of JD E‑commerce Recommendation System: Architecture, Ranking, Real‑time Updates, and Experiment Platform
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 DataE‑commerce
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.

E‑commerceJD.comMachine Learning
0 likes · 12 min read
Evolution and Architecture of JD.com’s Personalized Recommendation System
DataFunTalk
DataFunTalk
Jul 25, 2019 · Artificial Intelligence

Understanding Recommendation Ranking: Definition, Decomposition, and Modeling

This article introduces recommendation ranking, breaks down its components, explains how to build ranking models, and provides additional insights, while also presenting the author's background and related job opportunities in the e‑commerce recommendation field.

AIE‑commerceMachine Learning
0 likes · 3 min read
Understanding Recommendation Ranking: Definition, Decomposition, and Modeling
macrozheng
macrozheng
Jul 25, 2019 · Databases

Mastering Order Return Database Design: Schemas, Statuses, and UI Flow

This article provides a comprehensive walkthrough of the order return and return‑reason database tables, detailing each field, status codes, and the corresponding admin and mobile UI screens that illustrate how the return process works in an e‑commerce system.

E‑commerceSQLdatabase-schema
0 likes · 7 min read
Mastering Order Return Database Design: Schemas, Statuses, and UI Flow
macrozheng
macrozheng
Jul 23, 2019 · Backend Development

Mastering E‑Commerce Cart & Order Flow: Database Schema and Process Walkthrough

This article dissects the e‑commerce shopping cart database schema, explains the end‑to‑end order lifecycle—from adding items and calculating promotions to generating confirmation orders, creating orders, and handling cancellations—while highlighting key implementation details and code references for backend developers.

E‑commerceShopping Cartdatabase-schema
0 likes · 7 min read
Mastering E‑Commerce Cart & Order Flow: Database Schema and Process Walkthrough