How AI is Revolutionizing Supply Chains: JD.com’s Billion‑Parameter Time‑Series Model

At the 2025 AI Innovation & Entrepreneurship Conference in Hangzhou, JD.com’s chief scientists unveiled a billion‑parameter time‑series large model and end‑to‑end inventory algorithms that dramatically boost demand forecasting, dynamic allocation, and overall supply‑chain efficiency, illustrating how AI can transform global logistics networks.

AIData‑Driven Decision MakingLarge Model

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How AI is Revolutionizing Supply Chains: JD.com’s Billion‑Parameter Time‑Series Model

DeWu Technology

Mar 19, 2025 · R&D Management

Project Management Evolution: Strategies from the DeWu Algorithm Team

The DeWu Technology Department’s algorithm team outlines its project‑management evolution, confronting shifting business demands and technical complexity, and proposes six strategies—hybrid agile‑waterfall methods, rigorous requirements prioritization, standardized experiment processes, unified documentation, strengthened cross‑team collaboration, and data‑driven outcome quantification—to boost efficiency and business value.

Agile DevelopmentCross-Team CollaborationData‑Driven Decision Making

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Project Management Evolution: Strategies from the DeWu Algorithm Team

Chen Tian Universe

Feb 18, 2024 · Operations

How Integrated Business‑Finance Systems Boost Decision‑Making and Risk Management

The article explains how integrating business, finance, and management data—known as business‑finance integration—provides real‑time insight, improves compliance and risk control, enhances productivity, and creates actionable financial metrics, while outlining the necessary system architecture and implementation steps.

Data‑Driven Decision MakingSystem Architecturebusiness finance integration

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How Integrated Business‑Finance Systems Boost Decision‑Making and Risk Management

DataFunTalk

Jan 4, 2022 · Fundamentals

How to Build a Data Metric System: Purpose, Construction Steps, and Practical Application

This article explains why a data metric system is essential for business growth, describes the OSM (Object‑Strategy‑Measure) model and four concrete steps to construct a metric system, and shows how to use it for diagnosis, factor analysis, and problem solving in real‑world scenarios.

Business AnalyticsData‑Driven Decision MakingKPIs

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How to Build a Data Metric System: Purpose, Construction Steps, and Practical Application

vivo Internet Technology

Jun 3, 2020 · Product Management

A Comprehensive Guide to AB Testing: Methodology and Implementation

This comprehensive guide explains AB testing fundamentals—from defining control and experimental groups and avoiding confounding factors, to calculating sample size, selecting ratio‑based metrics, tracking data, monitoring experiments, and analyzing statistical significance—providing a step‑by‑step methodology for data‑driven product optimization.

A/B Testing MethodologyAB testingData‑Driven Decision Making

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A Comprehensive Guide to AB Testing: Methodology and Implementation