Tagged articles

retail analytics

14 articles · Page 1 of 1

Jun 11, 2026 · Industry Insights

Why Millions in Channel Spend Yield No Results? Store‑Opening Scans Solve FMCG’s Top 3 Channel Pain Points

The article analyzes why huge channel budgets in fast‑moving consumer goods often produce no impact, identifies three core problems—competitor poaching, opaque channel costs, and cross‑region leakage—and shows how a simple store‑opening QR‑code scan can instantly reward shop owners, capture real‑time data, and restore brand control over the distribution network.

FMCGInstant IncentivesQR code

0 likes · 12 min read

Why Millions in Channel Spend Yield No Results? Store‑Opening Scans Solve FMCG’s Top 3 Channel Pain Points

Subtle Storm

Apr 28, 2026 · Big Data

Big Data’s Commercial Value in E‑Commerce & Retail: From Insight to Decision

The article examines how big data moves retail beyond merely spotting trends to actively shaping pricing, inventory, real‑time monitoring, and strategic decisions, illustrating dynamic pricing, intelligent stock management, and live dashboards with examples from airlines, hotels, and Double‑11 sales.

Big Datadynamic pricinginventory optimization

0 likes · 5 min read

Big Data’s Commercial Value in E‑Commerce & Retail: From Insight to Decision

Subtle Storm

Apr 27, 2026 · Big Data

When Algorithms Learn to Read People: Big Data’s Commercial Value in E‑Commerce (Part 1)

The article explains how big‑data techniques such as collaborative filtering, time‑aware recommendations, and behavior‑sequence profiling transform e‑commerce and retail by revealing individual consumer intent, boosting conversion rates by up to 30% and enabling more precise pricing and inventory decisions.

Big DataRecommendation Systemsbehavior analysis

0 likes · 5 min read

When Algorithms Learn to Read People: Big Data’s Commercial Value in E‑Commerce (Part 1)

JD Retail Technology

Dec 24, 2024 · Industry Insights

How JD Retail Automates AB Experiment Data Pipelines with Data Weaving

This article analyzes JD Retail's approach to automating AB experiment workflows by introducing a data‑weaving framework that unifies metric definitions, streamlines logical data modeling, and enables scalable, real‑time DAG orchestration across multiple experiment scenarios.

AB testingAutomationData Governance

0 likes · 21 min read

How JD Retail Automates AB Experiment Data Pipelines with Data Weaving

Data Thinking Notes

Oct 24, 2023 · Big Data

Unlocking Retail Success: Key Data Metrics and Analysis Methods for the New Era

This article explores how retailers can leverage big‑data analytics across people, products, and places—both offline and online—to build comprehensive indicator systems, apply methods like ABC, RFM, association and funnel analysis, and drive smarter decision‑making in the evolving retail landscape.

ABC analysisBig DataCustomer Segmentation

0 likes · 9 min read

Unlocking Retail Success: Key Data Metrics and Analysis Methods for the New Era

DataFunTalk

Aug 31, 2023 · Operations

Design and Application of a Store Tagging System for Data‑Driven Retail Operations

This article explains the importance of a store tagging system in retail, outlines a four‑step design process—including business research, data requirement analysis, hierarchical label construction, and implementation—and demonstrates its applications in site selection, inventory allocation, user segmentation, and intelligent decision‑making.

data-driven operationslabel designretail analytics

0 likes · 13 min read

Design and Application of a Store Tagging System for Data‑Driven Retail Operations

Python Crawling & Data Mining

Mar 20, 2022 · Operations

Why Your Data Analysis Fails Without Business Context: A Food Store Case Study

Data analysis must be tightly linked to business needs, as illustrated by a Pareto analysis of a food specialty store that reveals a 55% user contribution to 80% sales, prompting strategic decisions on customer segmentation, value distribution, and growth tactics beyond traditional 20/80 expectations.

Business StrategyCustomer SegmentationData Analysis

0 likes · 8 min read

Why Your Data Analysis Fails Without Business Context: A Food Store Case Study

JD Tech Talk

Dec 29, 2020 · Artificial Intelligence

Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning

The paper proposes a deep meta‑learning framework that generates spatio‑temporal representations for retail sales forecasting, especially during large shopping festivals, by combining amortization networks, shared statistical structures, and alternating spatial‑temporal training to achieve robust and accurate predictions despite scarce historical data.

Sales Forecastingdeep learningmeta‑learning

0 likes · 9 min read

Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning

Python Programming Learning Circle

Jun 4, 2020 · Fundamentals

Superstore Sales Data Analysis: From Data Preprocessing to RFM Modeling

This article presents a comprehensive analysis of a global supermarket's four‑year sales dataset, covering data collection, preprocessing, exploratory visualizations, sales, quantity, profit, market segmentation, product performance, customer segmentation, RFM modeling, and actionable recommendations to improve revenue and customer retention.

Data AnalysisPandasRFM model

0 likes · 27 min read

Superstore Sales Data Analysis: From Data Preprocessing to RFM Modeling

Alibaba Cloud Developer

Jan 29, 2019 · Artificial Intelligence

Alibaba's AI-Driven In-Store Foot Traffic Digitization

Alibaba’s search division showcases how AI transforms traditional retail by digitizing in‑store foot traffic, employing camera‑based person detection, re‑identification, RFID‑enhanced product interaction, and edge‑optimized models to generate real‑time customer insights, heatmaps, and personalized recommendations that bridge offline and online shopping experiences.

AIRFIDcomputer vision

0 likes · 25 min read

Alibaba's AI-Driven In-Store Foot Traffic Digitization

Alibaba Cloud Developer

Jan 8, 2019 · Artificial Intelligence

How Alibaba Digitizes In‑Store Foot Traffic with AI and RFID Fusion

This article details Alibaba's end‑to‑end solution for digitizing offline retail foot traffic, combining existing surveillance cameras, RFID tags, and advanced AI techniques such as lightweight YOLO detection, knowledge distillation, and multi‑level pedestrian re‑identification to capture, analyze, and act on shopper behavior for both business operations and personalized in‑store experiences.

AIEdge computingPedestrian Re-identification

0 likes · 27 min read

How Alibaba Digitizes In‑Store Foot Traffic with AI and RFID Fusion

JD Retail Technology

Aug 24, 2018 · Artificial Intelligence

JD Showcases Ten Papers and DEERS Recommendation System at KDD 2018

At KDD 2018 in London, JD presented ten research papers—including a reinforcement‑learning based recommendation system called DEERS—highlighting its big‑data and AI capabilities across retail, supply‑chain, healthcare, and smart‑city applications while fostering industry‑academic collaboration.

AIKDD2018recommendation system

0 likes · 8 min read

JD Showcases Ten Papers and DEERS Recommendation System at KDD 2018

Tencent Cloud Developer

Jun 8, 2018 · Industry Insights

How AI and Data Are Powering the Next Retail Revolution with Tencent Cloud

The article analyzes the challenges of declining online traffic and low in‑store conversion, then details how Tencent Cloud’s AI‑driven retail suite—covering scientific site selection, commercial‑area insights, computer‑vision store management, one‑code product tracking, and brand sentiment analysis—offers data‑powered solutions for modern retailers.

AICloud ComputingIndustry Insights

0 likes · 12 min read

How AI and Data Are Powering the Next Retail Revolution with Tencent Cloud

Suning Technology

Jan 26, 2018 · Artificial Intelligence

Suning’s ‘Beidou’ AI System Transforms Retail Customer Flow Analytics

The article details Suning’s Beidou system, an AI‑driven solution that combines video, WiFi and facial recognition to accurately count and analyze customer flow, improve store operations, and enable intelligent services such as personalized recommendations, automated payment, and safety monitoring for modern retail environments.

AIcomputer visionretail analytics

0 likes · 13 min read

Suning’s ‘Beidou’ AI System Transforms Retail Customer Flow Analytics