International Journal of Computational Intelligence Systems

Volume 12, Issue 2, 2019, Pages 1537 - 1546

A Siamese Neural Network Application for Sales Forecasting of New Fashion Products Using Heterogeneous Data

Authors
Giuseppe Craparotta1, *, Sébastien Thomassey2, Amedeo Biolatti3
1Department of Mathematics, University of Torino, Via Carlo Alberto 10, Torino 10123, Italy
2ENSAIT, GEMTEX Laboratoire de Génie et Matériaux Textiles, F-59000 Lille, France
3DISMA Department of Mathematical Sciences, Polytechnic University of Turin, Corso Duca degli Abruzzi, 24, 10129 Torino TO
*Corresponding author. Email: giuseppe@evopricing.com
Corresponding Author
Giuseppe Craparotta
Received 29 March 2019, Accepted 19 October 2019, Available Online 29 November 2019.
DOI
https://doi.org/10.2991/ijcis.d.191122.002How to use a DOI?
Keywords
Sales forecasting; Siamese neural networks; Fashion products; Fashion retail
Abstract

In the fashion market, the lack of historical sales data for new products imposes the use of methods based on Stock Keeping Unit (SKU) attributes. Recent works suggest the use of functional data analysis to assign the most accurate sales profiles to each item. An application of siamese neural networks is proposed to perform long-term sales forecasting for new products. A comparative study using benchmark models is conducted on data from a European fashion retailer. This shows that the proposed application can produce valuable item level sales forecasts.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
1537 - 1546
Publication Date
2019/11/29
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.d.191122.002How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Giuseppe Craparotta
AU  - Sébastien Thomassey
AU  - Amedeo Biolatti
PY  - 2019
DA  - 2019/11/29
TI  - A Siamese Neural Network Application for Sales Forecasting of New Fashion Products Using Heterogeneous Data
JO  - International Journal of Computational Intelligence Systems
SP  - 1537
EP  - 1546
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.191122.002
DO  - https://doi.org/10.2991/ijcis.d.191122.002
ID  - Craparotta2019
ER  -