Using group seasonal indices in multi-item short-term forecasting

Using group seasonal indices in multi-item short-term forecasting

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Article ID: iaor19941758
Country: Netherlands
Volume: 9
Issue: 4
Start Page Number: 517
End Page Number: 526
Publication Date: Dec 1993
Journal: International Journal of Forecasting
Authors: ,
Keywords: forecasting: applications, retailing
Abstract:

Methods for dealing with seasonal patterns of product sales can be categorized into two groups: those that forecast the demand for seasonal products by estimating the individual seasonal components for each product, and those that estimate the seasonal component by combining ‘similar’ products into a product line. An approach is proposed for the latter case, based on a synthesis of time series decomposition techniques and cluster analysis. Some initial experiments on a sample of retail sales data demonstrate its feasibility and give some comparative insights into this and alternative methods.

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