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A Decision Support System for Subjective Forecasting of New Product Sales

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
Mohamed Hassan, Abeer Badr Eldin, Alaa El-Ghazali
10.5120/ijca2015905997

Mohamed Hassan, Abeer Badr Eldin and Alaa El-Ghazali. Article: A Decision Support System for Subjective Forecasting of New Product Sales. International Journal of Computer Applications 126(2):25-30, September 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Mohamed Hassan and Abeer Badr Eldin and Alaa El-Ghazali},
	title = {Article: A Decision Support System for Subjective Forecasting of New Product Sales},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {126},
	number = {2},
	pages = {25-30},
	month = {September},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Launching new products is risky by nature. As demand for an older product decreases, a company is forced to make a risky unavoidable decision of launching a new product. With the lack of historical data or sales records of the new products, the company has to make difficult decision to avoid failure of the new product. In this research paper, the research proposes procedure for new product sales forecasting and guides the calculation of new product sales forecasts based on accusation, evaluation and choice of subjective forecasts provided by executives and salespeople for new products which don’t have any historical data.

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Keywords

DSS, Sales Forecasting