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https://www.sciencedirect.com/science/article/pii/S0957417409006034
As expected, NPFS performed better than the Moving Average method. In conclusion, using the NPFS decision-support system to solve new product sales forecasting problems can improve the accuracy of new product sales forecasts. This decision-support system is easier to use than the most widely used method and does not rely too much on human judgment.Cited by: 63
https://pdfs.semanticscholar.org/f463/acc488e978a5502289095cc6865a254fcf4e.pdf
A Decision Support System for Subjective Forecasting of New Product Sales Mohamed Hassan CIS Dep., Sadat Academy for Management Sciences Abeer Badr Eldin CIS Dep., Sadat Academy for Management Sciences Alaa El-Ghazali CIS Dep., Sadat Academy for Management Sciences ABSTRACT Launching new products is risky by nature. As demand for an
https://www.sciencedirect.com/science/article/pii/S0167923698000670
In this section, sales forecasting systems and applications of artificial neural networks in sales forecasting are briefly reviewed. In addition, fuzzy neural networks are also discussed in the following. 2.1. Artificial neural networks in sales forecasting. Sales forecasting always plays a prominent role in a decision support system.Cited by: 144
https://www.researchgate.net/profile/Eric_Sucky/publication/235304555_A_decision_support_system_for_demand_forecasting_in_the_clothing_industry/links/5639d1c208ae4624b75fd3fc.pdf
A decision support system for demand forecasting in the clothing industry Asli Aksoy and Nursel Ozturk Industrial Engineering Department, Uludag University, Bursa, Turkey, and
https://link.springer.com/article/10.1007/BF02723360
This paper discusses each of them. The discussion of implementational issues includes some results of a survey of forecasting practice. The paper serves as a preface to the special section on sales forecasting and decision support systems and introduces the papers included in the special section.Cited by: 22
https://epublications.marquette.edu/cgi/viewcontent.cgi?article=1135&context=mgmt_fac
ty into Forecasting Support Systems (FSS) design can bring greater objectivity to forecast gen‐ eration, while simultaneously providing meaningful guidance to forecasters [1]. Advances in design and use of FDSS, however, have been slow to come because of the fol‐Cited by: 3
https://www.capterra.com/decision-support-software/
Find the best Decision Support Software for your business. Compare product reviews and features to build your list. ... Decision support system that helps businesses make informed decisions by structuring data, measuring data objectives & more. ... Datahug is a predictive forecasting solution for CRM that helps sales teams to increase sales ...
https://www.researchgate.net/publication/32199590_A_Forecasting_Decision_Support_System
As complexity and factors increase, it becomes impossible for a human being to do the prediction operation without support of computer system. A Decision support system is needed to model all ...
https://www.capterra.com/sales-forecasting-software/
Avercast Sales Forecasting (ASF) is the most powerful and user friendly sales forecasting software. It allows real-time collaboration between sales professionals in the inventory forecasting and planning process. ASF provides opportunities for immediate changes by planners; as a result, forecasts are always up-to-date with shifts in projected ...
https://quizlet.com/225901062/chapter-10-information-systems-review-flash-cards/
Start studying Chapter 10: Information Systems Review. Learn vocabulary, terms, and more with flashcards, games, and other study tools. ... such as financial planning and sales promotion planning. Decision models. gives the decision support system its analytical capabilities. There are three types of models included in the decision model ...
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