Demand Forecasting of Over-Promoted FMCG Products in a Manufacturing Company
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F17%3A39910814" target="_blank" >RIV/00216275:25310/17:39910814 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Demand Forecasting of Over-Promoted FMCG Products in a Manufacturing Company
Original language description
Overuse of trade sales promotion to keep fast-moving consumer goods (FMCG) in the range of retail stores results in a lot of negative impacts on all members of the supply chain network. One of the consequences is also an extreme increase in demand variability for FMCG manufacturers. However, such demand becomes unpredictable if only common forecasting methods are applied. This paper aims to find ways of forecasting the demand that is affected by frequent implementation of promotional events. Based on the case study conducted with a large Czech manufacturer of FMCG products, the paper first discusses the possibilities and barriers of the current theoretical approaches to demand forecasting of promoted products, which subsequently results in a proposal of a statistical forecasting method for over-promoted products. The proposed approach to demand forecasting combines a multiple linear regression (MLR) model with an autoregressive integrated moving average (ARIMA) model. By its application in the company involved in the research, they were able to decrease the simple statistical forecast error by 24%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CLC 2017 Carpathian logistics congres : proceedings
ISBN
978-80-87294-80-2
ISSN
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e-ISSN
neuvedeno
Number of pages
7
Pages from-to
40-46
Publisher name
TANGER, spol. s r.o.
Place of publication
Ostrava
Event location
Liptovský Ján
Event date
Jun 28, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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