Deep Learning for Distribution Channels' Management

Sabina-Cristiana Necula ()

Informatica Economica, 2017, vol. 21, issue 4, 73-84

Abstract: This paper presents an experiment of using deep learning models for distribution channel management. We present an approach that combines self-organizing maps with artificial neural network with multiple hidden layers in order to identify the potential sales that might be addressed for channel distribution change/ management. Our study aims to highlight the evolution of techniques from simple features/learners to more complex learners and feature engineering or sampling techniques. This paper will allow researchers to choose best suited techniques and features to prepare their churn prediction models.

Keywords: Artificial Neural Network; Distribution Channel; Self-Organizing Maps; Deep Learning (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:21:y:2017:i:4:p:73-84

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