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NetEase Yanxuan Technology Product Team
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NetEase Yanxuan Technology Product Team

The NetEase Yanxuan Technology Product Team shares practical tech insights for the e‑commerce ecosystem. This official channel periodically publishes technical articles, team events, recruitment information, and more.

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Recent Articles

Latest from NetEase Yanxuan Technology Product Team

75 recent articles
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Apr 24, 2022 · Operations

Traffic Distribution and Allocation: Non‑Intervention vs. Intervention, Objectives, and Technical Solutions

The article compares non‑intervention (natural) traffic, where models autonomously maximize UV, with intervention (allocation) traffic that fine‑tunes re‑ranking to meet short‑term business goals, outlines objectives of balancing immediate profit and long‑term value, and presents two technical solutions—an ML‑plus‑OR integer‑programming model and a PID‑based control loop—for real‑time traffic allocation.

OptimizationPID controlReal-time Decision
0 likes · 9 min read
Traffic Distribution and Allocation: Non‑Intervention vs. Intervention, Objectives, and Technical Solutions
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Apr 18, 2022 · Artificial Intelligence

Supply‑Demand Coordination in E‑commerce: Challenges and Algorithmic Solutions

Effective e‑commerce supply‑demand coordination requires accurate SKU‑level forecasting, optimized replenishment under MOQ and lead‑time constraints, and dynamic post‑sale traffic control, using a blend of time‑series, tree‑based and deep learning models together with expert knowledge to minimize inventory costs and avoid stock‑outs.

AIOptimizationSupply Chain
0 likes · 10 min read
Supply‑Demand Coordination in E‑commerce: Challenges and Algorithmic Solutions
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Apr 11, 2022 · Mobile Development

How to Shrink Your iOS App by 31%: Practical Thinning & Optimization Guide

This article explains why iOS app size matters for download conversion, breaks down the components of an IPA, and provides a step‑by‑step guide to Apple’s App Thinning techniques, compiler optimizations, third‑party library management, resource cleanup, and CI/CD automation that together reduced the Yanxuan app from 210 MB to 144 MB.

App ThinningBinary OptimizationResource Compression
0 likes · 22 min read
How to Shrink Your iOS App by 31%: Practical Thinning & Optimization Guide
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Apr 6, 2022 · Backend Development

Server-Side Caching: Local, Distributed, and Multi-Level Cache Architecture Practices

Server‑side caching improves performance by trading space for time, using local caches like HashMap, Guava, Ehcache, and Caffeine, distributed caches such as Redis, and multi‑level architectures that combine in‑process, distributed, and database layers, while employing consistency patterns, monitoring, and hot‑key detection.

Cache ConsistencyCachingCaffeine
0 likes · 16 min read
Server-Side Caching: Local, Distributed, and Multi-Level Cache Architecture Practices
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Mar 30, 2022 · Big Data

Data Lake Construction and Practice at NetEase Yanxuan

NetEase Yanxuan replaced its cumbersome data‑warehouse with a flexible Delta‑Lake/Iceberg data lake, creating a unified metadata layer and real‑time ingestion pipelines that cut latency from nightly batches to seconds, slashed compute and storage costs, supported diverse business scenarios and machine‑learning feature engineering, and set the stage for broader future expansion.

Data integrationDelta LakeFlink
0 likes · 16 min read
Data Lake Construction and Practice at NetEase Yanxuan
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Sep 13, 2021 · R&D Management

Team Leadership and Project Management: A Technical Leader's Experience

A technical leader at NetEase Yanxuan, with a PhD in applied mathematics, describes building a supply‑chain algorithm team from scratch, categorizing projects as mature, challenging, or innovative, assigning staff by risk, overseeing work through high‑level guidance, engaging with business units to uncover pain points, mobilizing resources for deadlines, and pursuing initiatives while emphasizing resilience, business focus, and a trust‑based workplace culture.

cross-functional collaborationinnovationproblem discovery
0 likes · 16 min read
Team Leadership and Project Management: A Technical Leader's Experience
NetEase Yanxuan Technology Product Team
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.

Configurationbackend developmentpricing engine
0 likes · 9 min read
Design and Implementation of a Pricing Calculation Engine for E-commerce Promotions
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Mar 29, 2021 · Operations

How Yanxuan Designs a Multi‑Layer Inventory System for Seamless E‑Commerce

This article examines Yanxuan's inventory management challenges and presents a layered design—warehouse, physical, and sales layers—combined with a flexible lock‑stock pool to support multi‑channel, multi‑warehouse operations while addressing promotional and special‑use inventory requirements.

Supply Chaine-commerceinventory management
0 likes · 14 min read
How Yanxuan Designs a Multi‑Layer Inventory System for Seamless E‑Commerce
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Mar 19, 2021 · Backend Development

Refactoring a Legacy Warehouse System with Domain‑Driven Design

This article examines the chronic decay of a long‑standing warehouse inventory system, identifies its tangled business boundaries, chaotic architecture, and uncontrolled delivery efficiency, then presents a domain‑driven design solution with clear modeling, onion‑style layering, CQRS, and practical implementation steps to restore maintainability.

CQRSDomain-Driven DesignLegacy Refactoring
0 likes · 15 min read
Refactoring a Legacy Warehouse System with Domain‑Driven Design