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Understanding Customer Attrition at an Individual Level: a New Model in Grocery Retail Context

Clément Gautrais 1, 2 Peggy Cellier 3, 4 Thomas Guyet 5, 1 René Quiniou 1 Alexandre Termier 2, 1
1 LACODAM - Large Scale Collaborative Data Mining
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE, Inria Rennes – Bretagne Atlantique
2 UR1 - Université de Rennes 1
3 INSA Rennes - Institut National des Sciences Appliquées - Rennes
4 LIS - Logical Information Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
5 AGROCAMPUS OUEST
Abstract : This paper presents a new model to detect and explain customer defection in a grocery retail context. This new model analyzes the evolution of each customer basket content. It therefore provides actionable knowledge for the retailer at an individual scale. In addition, this model is able to identify customers that are likely to defect in the future months.
Keywords : Data mining Attrition modeling Grocery retail
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https://hal.archives-ouvertes.fr/hal-01405172
Contributor : Alexandre Termier <>
Submitted on : Tuesday, November 29, 2016 - 3:57:09 PM
Last modification on : Tuesday, March 10, 2020 - 10:10:03 AM
Document(s) archivé(s) le : Monday, March 27, 2017 - 8:07:09 AM

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CNRS | INSTITUT-TELECOM | UNAM | UNIV-RENNES1 | INRIA | IRISA | AGROCAMPUS-OUEST | IRISA-INSA-R | UR1-UFR-ISTIC | AGROCAMPUS-OUEST-IRISA | INSA-RENNES | UNIV-RENNES | INSA-GROUPE | IRISA-D7

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Clément Gautrais, Peggy Cellier, Thomas Guyet, René Quiniou, Alexandre Termier. Understanding Customer Attrition at an Individual Level: a New Model in Grocery Retail Context. International Conference on Extending Database Technology (EDBT), Mar 2016, Bordeaux, France. ⟨10.5441/002/edbt.2016.87⟩. ⟨hal-01405172⟩

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