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Demand forecasting is the prediction of the quantity of goods and services that will be demanded by consumers at a future point in time.[1] More specifically, the methods of demand forecasting entail using predictive analytics to estimate customer demand in consideration of key economic conditions. This is an important tool in optimizing business profitability through efficient supply chain management. Demand forecasting methods are divided into two major categories, qualitative and quantitative methods. Qualitative methods are based on expert opinion and information gathered from the field. This method is mostly used in situations when there is minimal data available for analysis such as when a business or product has recently been introduced to the market. Quantitative methods, however, use available data, and analytical tools in order to produce predictions. Demand forecasting may be used in resource allocation, inventory management, assessing future capacity requirements, or making decisions on whether to enter a new market.[2]
^Acar, A. Zafer; Yilmaz, Behlül; Kocaoglu, Batuhan (2014-06-16). "DEMAND FORECAST, UP-TO-DATE MODELS, AND SUGGESTIONS FOR IMPROVEMENT AN EXAMPLE OF A BUSINESS" (PDF). Journal of Global Strategic Management. 1 (8): 26–26. doi:10.20460/JGSM.2014815650. ISSN 1307-6205.
^Adhikari, Nimai Chand Das; Domakonda, Nishanth; Chandan, Chinmaya; Gupta, Gaurav; Garg, Rajat; Teja, S.; Das, Lalit; Misra, Ashutosh (2019), Smys, S.; Bestak, Robert; Chen, Joy Iong-Zong; Kotuliak, Ivan (eds.), "An Intelligent Approach to Demand Forecasting", International Conference on Computer Networks and Communication Technologies, vol. 15, Singapore: Springer Singapore, pp. 167–183, doi:10.1007/978-981-10-8681-6_17, ISBN 978-981-10-8680-9, retrieved 2023-04-27
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