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

Giuseppe Craparotta; Sébastien Thomassey; Amedeo Biolatti

doi:10.2991/ijcis.d.191122.002

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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: 10.2991/ijcis.d.191122.002 How 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.
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: 10.2991/ijcis.d.191122.002 How to use a DOI?
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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ris enw bib

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  - 10.2991/ijcis.d.191122.002
ID  - Craparotta2019
ER  -

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