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retail

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Model Perspective
Model Perspective
Sep 7, 2023 · Operations

How to Optimize Vegetable Restocking and Pricing with Data‑Driven Models

This article presents a data‑driven approach to predict weekly vegetable sales, determine optimal restocking quantities, and set cost‑plus pricing strategies using time‑series analysis, correlation mining, and profit maximization models for supermarkets.

data analysisinventory optimizationprice modeling
0 likes · 15 min read
How to Optimize Vegetable Restocking and Pricing with Data‑Driven Models
DataFunSummit
DataFunSummit
Feb 18, 2023 · Product Management

Business Diagnostic Data Products: Thinking Model, Architecture, and Growth Challenges

This article presents a comprehensive overview of business diagnostic data products, detailing their value chain, architectural layers, thinking model, product growth stages, and the practical challenges faced when scaling from inception to mature deployment in retail environments.

analyticsbusiness diagnosticsdata governance
0 likes · 14 min read
Business Diagnostic Data Products: Thinking Model, Architecture, and Growth Challenges
Youzan Coder
Youzan Coder
Nov 5, 2021 · Artificial Intelligence

AI-Powered Image Recognition for Fresh Produce Retail: System Design and Implementation

An AI‑driven image‑recognition system using TensorFlow Lite cameras on checkout scales replaces barcode PLU lookup with hierarchical product categories, caches offline selections for incremental model updates, and delivers instant, offline‑capable identification, dramatically speeding fresh produce checkout, cutting labor costs, and offering a reusable framework for other retail sectors.

AIImage RecognitionMachine Learning
0 likes · 8 min read
AI-Powered Image Recognition for Fresh Produce Retail: System Design and Implementation
DataFunSummit
DataFunSummit
Sep 29, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

This article describes how Meituan builds a multi‑level, multi‑dimensional retail product knowledge graph to support new‑retail scenarios, detailing its architecture, data acquisition challenges, labeling pipelines, attribute extraction methods, efficiency improvements, human‑machine collaboration, and downstream search and recommendation applications.

AIData MiningKnowledge Graph
0 likes · 25 min read
Construction and Application of Retail Product Knowledge Graph at Meituan
DataFunTalk
DataFunTalk
Jul 31, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

This article details Meituan's development of a multi‑level, multi‑dimensional retail product knowledge graph, covering its background in new retail, hierarchical design, attribute modeling, challenges, efficiency improvements, human‑machine collaboration, and its impact on search, recommendation and both C‑ and B‑side services.

Data MiningKnowledge GraphMeituan
0 likes · 25 min read
Construction and Application of Retail Product Knowledge Graph at Meituan
JD Tech
JD Tech
Mar 30, 2021 · Artificial Intelligence

JD Retail's Jiushu Business Analytics Platform: AI‑Driven Solutions for Retail

The article introduces JD Retail's Jiushu Business Analytics Platform, detailing how AI, big‑data, and distributed‑training technologies address fragmented retail scenarios, high deployment barriers, large‑scale application difficulties, and cost concerns through specialized frameworks, fault‑tolerant training, and advanced cluster optimization.

AIGraph Computingbig data
0 likes · 12 min read
JD Retail's Jiushu Business Analytics Platform: AI‑Driven Solutions for Retail
DataFunTalk
DataFunTalk
Mar 12, 2019 · Artificial Intelligence

Demand Forecasting Practices in Alibaba Retail: From Mean Models to Deep Learning

This article outlines Alibaba Retail's demand forecasting workflow, describing the evolution from simple mean and time‑series models to machine‑learning and deep‑learning approaches, the incorporation of feature engineering, operational plans, and methods for estimating prediction uncertainty to support intelligent replenishment.

AIInventoryMachine Learning
0 likes · 13 min read
Demand Forecasting Practices in Alibaba Retail: From Mean Models to Deep Learning
Tencent Cloud Developer
Tencent Cloud Developer
May 17, 2018 · Product Management

Analysis of China's Retail Industry Development, Market Trends, and Module Recommendations

The article reviews China’s retail evolution from planned‑economy roots through e‑commerce boom to today’s O2O “new retail” era, highlighting rational online growth, offline revitalization, blurred channel boundaries, precision advertising, and recommends modules such as membership points, LBS store locating, and coupon systems via mini‑programs.

ChinaO2OSmall Programs
0 likes · 7 min read
Analysis of China's Retail Industry Development, Market Trends, and Module Recommendations
JD Tech
JD Tech
Apr 23, 2018 · Backend Development

Rapid Construction of the 7Fresh Retail System Using Domain‑Driven Design

The article details how JD.com’s 7Fresh retail platform was built in just two and a half months by applying strategic DDD, virtual organization structures, extensive component reuse, and cross‑team collaboration to integrate over 60 systems and dozens of devices for both online and offline operations.

DDDDomain-Driven DesignSystem Architecture
0 likes · 8 min read
Rapid Construction of the 7Fresh Retail System Using Domain‑Driven Design
Architects Research Society
Architects Research Society
Oct 24, 2015 · Artificial Intelligence

Predictive Shopping Lists and Personalized Recommendations for JJ Food Service Using Azure Machine Learning

JJ Food Service leveraged Azure Machine Learning to predict customer orders and deliver personalized product recommendations across web and phone channels, improving shopping efficiency, boosting customer satisfaction, and demonstrating how AI-driven analytics can transform retail operations.

Azure Machine LearningCustomer SatisfactionPredictive Analytics
0 likes · 7 min read
Predictive Shopping Lists and Personalized Recommendations for JJ Food Service Using Azure Machine Learning