Sales Prediction through Neural Networks for a Small Dataset

TitleSales Prediction through Neural Networks for a Small Dataset
Publication TypeJournal Article
Year of PublicationIn Press
AuthorsCroda, R. M. C., D. E. G. Romero, and S. O. C. Morales
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueIn Press
VolumeIn Press
NumberIn Press
Date Published04/2018
Pagination1-7
Abstract

Sales forecasting allows firms to plan their production outputs, which contributes to optimizing firms' inventory management via a cost reduction. However, not all firms have the same capacity to store all the necessary information through time. So, time-series with a short length are common within industries, and problems arise due to small time series does not fully capture sales' behavior. In this paper, we show the applicability of neural networks in a case where a company reports a short time-series given the changes in its warehouse structure. Given the neural networks independence form statistical assumptions, we use a multilayer-perceptron to get the sales forecasting of this enterprise. We find that learning rates variations do not significantly increase the computing time, and the validation fails with an error minor to five percent.

KeywordsArtificial Intelligence, Artificial Neural Networks, Forecasting
DOI10.9781/ijimai.2018.04.003
URLhttp://www.ijimai.org/journal/sites/default/files/files/2018/04/ip_04_03_pdf_14753.pdf
AttachmentSize
ip_04_03.pdf926.12 KB