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retail analytics

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Data Thinking Notes
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 analysisRFM modelbig data
0 likes · 9 min read
Unlocking Retail Success: Key Data Metrics and Analysis Methods for the New Era
DataFunTalk
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.

business intelligencedata-driven operationslabel design
0 likes · 13 min read
Design and Application of a Store Tagging System for Data‑Driven Retail Operations
JD Tech Talk
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
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.

RFM modelSales ForecastingVisualization
0 likes · 27 min read
Superstore Sales Data Analysis: From Data Preprocessing to RFM Modeling
JD Retail Technology
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.

AIKDD2018big data
0 likes · 8 min read
JD Showcases Ten Papers and DEERS Recommendation System at KDD 2018