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Reseach Article

Sales Forecast of an Automobile Industry

by Rashmi Sharma, Ashok K. Sinha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 12
Year of Publication: 2012
Authors: Rashmi Sharma, Ashok K. Sinha
10.5120/8474-2403

Rashmi Sharma, Ashok K. Sinha . Sales Forecast of an Automobile Industry. International Journal of Computer Applications. 53, 12 ( September 2012), 25-28. DOI=10.5120/8474-2403

@article{ 10.5120/8474-2403,
author = { Rashmi Sharma, Ashok K. Sinha },
title = { Sales Forecast of an Automobile Industry },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 12 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number12/8474-2403/ },
doi = { 10.5120/8474-2403 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:56.281609+05:30
%A Rashmi Sharma
%A Ashok K. Sinha
%T Sales Forecast of an Automobile Industry
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 12
%P 25-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sales forecast plays a prominent role in business strategy for generating revenue. Sales forecast depends on some of the factors as the market demand, promotion strategy used, living standard of the people, inflation rate, consumables price, public image of the company, market share, quality of service and so on. In this paper sales forecast of Maruti Suzuki Ltd, an automobile industry in India is considered. The inflation rate, petrol price, previous month sale are found to be more prominent parameters influencing the sales forecast of cars in this company. The model is trained using Fuzzy Neural Back Propagation Algorithm. The result thus obtained is compared with other statistical technique like multiple regression technique. However the result obtained by proposed algorithm is found to be superior to the result obtained by multiple linear regression technique.

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Index Terms

Computer Science
Information Sciences

Keywords

Sales Forecast FBPN Non-linear method Automobile Industry