e-commerce | BestHub

Collection size

500 articles

Page 4 of 25

NetEase Yanxuan Technology Product Team

Aug 20, 2021 · Backend Development

Design and Implementation of a Pricing Calculation Engine for E-commerce Promotions

The article details the design and implementation of a dedicated pricing calculation engine that decouples complex e‑commerce promotion logic from transaction services, using componentized rules, configurable pipelines, multi‑level caching, and lane‑based simulations to achieve high extensibility, low latency, and accurate pricing across browsing and checkout scenarios.

Backend DevelopmentPromotioncomponent architecture

0 likes · 9 min read

Design and Implementation of a Pricing Calculation Engine for E-commerce Promotions

JD Retail Technology

Mar 14, 2025 · Artificial Intelligence

CTR-Driven Advertising Image Generation Using Multimodal Large Language Models

The paper presents CAIG, a CTR‑driven advertising image generation pipeline that pre‑trains a multimodal LLM on e‑commerce data, trains a reward model on CTR‑labeled image pairs, and fine‑tunes generation via product‑centric preference optimization, achieving state‑of‑the‑art online and offline performance.

Reinforcement Learningad image generationai

0 likes · 11 min read

CTR-Driven Advertising Image Generation Using Multimodal Large Language Models

JD Retail Technology

Jan 21, 2025 · Artificial Intelligence

Tech Insight: Selected JD Retail Technology Papers in Artificial Intelligence (2024)

Tech Insight highlights ten 2024 JD Retail Technology AI papers presented at top conferences—including CVPR, SIGIR, WWW, AAAI and IJCAI—that advance open‑vocabulary object detection, unified search‑recommendation, pre‑ranking consistency, diversity‑aware re‑ranking, a diversified product‑search dataset, graph‑based query classification, plug‑in CTR models, parallel ad‑ranking, trajectory‑based CTR stability, and task‑aware decoding for large language models.

Artificial IntelligenceCTR predictioncomputer vision

0 likes · 20 min read

JD Retail Technology

Sep 10, 2024 · Product Management

Exploring JD.Vision: Spatial Computing, XR E‑commerce and Product Management Insights

This article recounts the development of JD.Vision as a native Apple Vision Pro application, detailing how spatial computing reshapes e‑commerce experiences, the challenges of home‑scene product visualization, user‑type strategies, and the product‑manager growth lessons drawn from the project.

Apple Vision ProSpatial ComputingUser Experience

0 likes · 16 min read

Exploring JD.Vision: Spatial Computing, XR E‑commerce and Product Management Insights

JD Retail Technology

Aug 26, 2024 · Artificial Intelligence

Preference-oriented Diversity Model Based on Mutual Information for E-commerce Search Re-ranking (SIGIR 2024)

This article introduces PODM‑MI, a preference‑oriented diversity model that uses mutual information and variational Gaussian representations to jointly optimize accuracy and diversity in e‑commerce search re‑ranking, and reports significant online A/B test improvements on JD.com.

diversitye‑commercemachine learning

0 likes · 10 min read

Preference-oriented Diversity Model Based on Mutual Information for E-commerce Search Re-ranking (SIGIR 2024)

JD Retail Technology

May 22, 2024 · Artificial Intelligence

AI Multi‑Agent System for E‑commerce: Design, Implementation, and Operational Insights

This article presents a comprehensive overview of JD Retail's AI‑driven multi‑agent architecture for e‑commerce assistance, detailing how real‑world merchant decision processes are modeled with ReAct‑based LLM agents, the hierarchical workflow, training pipelines, monitoring mechanisms, and future directions for scalable intelligent commerce support.

Agent ArchitectureLLMMulti-Agent

0 likes · 20 min read

AI Multi‑Agent System for E‑commerce: Design, Implementation, and Operational Insights

JD Retail Technology

Apr 15, 2024 · Artificial Intelligence

Design and Evolution of JD.com Recommendation Advertising Ranking Auction Mechanism

The article analyzes JD.com's recommendation advertising ranking auction mechanism, detailing its objectives, challenges in traffic value estimation, user interest exploration, and multi‑item auction fairness, and describing the technical evolution from traditional auctions to deep‑learning‑driven solutions.

Reinforcement Learningadvertisingauction

0 likes · 18 min read

Design and Evolution of JD.com Recommendation Advertising Ranking Auction Mechanism

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 RetailR&D managementTechnology Architecture

0 likes · 15 min read

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

JD Retail Technology

Jul 21, 2023 · Mobile Development

Using GPT to Accelerate Development: Code Generation, Scripting, and Business Integration with Flutter and APIs

This article demonstrates how GPT can be leveraged in real‑world development to generate Flutter UI code, write automation scripts, and integrate AI‑driven search and recommendation features into e‑commerce platforms, offering practical tips, example code, and best‑practice guidelines.

API IntegrationGPTcode generation

0 likes · 9 min read

Using GPT to Accelerate Development: Code Generation, Scripting, and Business Integration with Flutter and APIs

JD Retail Technology

Jul 12, 2022 · Operations

Post‑Mortem of JD International Tech R&D’s 2022 618 Promotion: Preparation, Execution, and Lessons Learned

The report details JD International Technology R&D’s first comprehensive preparation for the 2022 618 sales event, describing multi‑regional challenges, the establishment of rapid response mechanisms, stress‑testing activities, operational highlights, identified shortcomings, and actionable recommendations for future large‑scale promotions.

PromotionSOPcross-team collaboration

0 likes · 9 min read

Post‑Mortem of JD International Tech R&D’s 2022 618 Promotion: Preparation, Execution, and Lessons Learned

JD Retail Technology

Jun 16, 2022 · Artificial Intelligence

2022 Global AI Technology Innovation Competition – Algorithm Challenge: Connecting AI with E‑commerce

The 2022 Global AI Technology Innovation Competition – Algorithm Challenge, co‑hosted by JD Retail and academic partners, brought together 12 finalist teams from over 3,000 entrants to tackle e‑commerce‑focused AI problems such as multimodal image‑text matching and product‑title entity recognition, highlighting real‑world business impact and fostering talent exchange.

AI competitionJD RetailNLP

0 likes · 8 min read

2022 Global AI Technology Innovation Competition – Algorithm Challenge: Connecting AI with E‑commerce

JD Retail Technology

Jan 19, 2022 · Backend Development

Applying Domain-Driven Design and Polymorphic Architecture to E‑commerce Product Detail Pages

This article shares practical experience of using Domain‑Driven Design to refactor an e‑commerce product detail page, detailing domain decomposition, relationship‑network design, polymorphic logic handling, and two concrete case studies that illustrate how to support both online and offline sales scenarios with minimal impact on existing services.

DDDbackend architecturedomain-driven design

0 likes · 13 min read

Applying Domain-Driven Design and Polymorphic Architecture to E‑commerce Product Detail Pages

JD Retail Technology

Dec 20, 2021 · Artificial Intelligence

Large-Scale Graph Technology in JD.com E‑commerce: Practice and AI Computing Directions

The article summarizes JD.com Vice President Bao Yongjun's presentation on applying ultra‑large‑scale graph technology to e‑commerce, covering data foundations, recommendation and fraud detection use cases, technical challenges, the Galileo graph engine, and future AI computing development directions such as chips, auto‑learning, application layers, and privacy protection.

Artificial IntelligenceLarge-Scale Systemse‑commerce

0 likes · 7 min read

Large-Scale Graph Technology in JD.com E‑commerce: Practice and AI Computing Directions

JD Retail Technology

Nov 17, 2021 · Frontend Development

Designing an E‑commerce SaaS Shop Decoration System: Architecture, Template Protocol, and Designer Components

This article explains how to build an e‑commerce SaaS shop‑decoration system from scratch, covering overall design, template‑protocol structure, the three core designer tools—component selector, renderer, and property editor—and considerations for cross‑platform, dynamic components, user experience, ecosystem, and productization.

FrontendSaaScomponent architecture

0 likes · 19 min read

Designing an E‑commerce SaaS Shop Decoration System: Architecture, Template Protocol, and Designer Components

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.

Capacity PlanningPromotione‑commerce

0 likes · 23 min read

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

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.

Capacity Planningdegradatione‑commerce

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

JD Retail Technology

Aug 22, 2019 · Product Management

Platform Product Growth Strategies: Insights from Douyin and JD

The article analyzes platform product growth by examining Douyin's user expansion tactics and JD's e‑commerce strategies, covering platform value, growth strategies, network effects, single‑ and double‑sided drives, local network effects, growth challenges, and corresponding solutions.

Network effectse‑commerceplatform strategy

0 likes · 12 min read

Platform Product Growth Strategies: Insights from Douyin and JD

JD Retail Technology

Jul 18, 2018 · Artificial Intelligence

JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce

JD.com describes its AI-powered image automation pipeline—including intelligent cutout, layout learning, and batch synthesis—along with a large-scale product knowledge graph that enables applications such as the JIMI customer service robot and the Li Bai writing assistant for global e-commerce.

Customer Service RobotNatural Language Generationai

0 likes · 7 min read

JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce

JD Retail Technology

Jun 20, 2018 · Artificial Intelligence

JD.com's 618 Shopping Festival: AI and Big Data Drive Seamless Retail Experience

JD.com's 618 shopping festival achieved 159.2 billion yuan in sales, leveraging AI and big data to enhance consumer experience and empower retail partners through intelligent supply chain solutions.

Customer ExperiencePersonalizationRetail Technology

0 likes · 9 min read

JD.com's 618 Shopping Festival: AI and Big Data Drive Seamless Retail Experience

JD Retail Technology

Nov 6, 2017 · Product Management

Componentization in E‑commerce Product Development: Three Perspectives on Requirements and Core Component Principles

The article explains how componentization, illustrated through computer hardware analogies, helps product managers analyze requirements from point, line, and surface perspectives, defines three core component attributes—individuality, shared reuse, and business enablement—and shows practical e‑commerce projects that embody these principles.

business componentscomponentizatione‑commerce

0 likes · 9 min read

Componentization in E‑commerce Product Development: Three Perspectives on Requirements and Core Component Principles