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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • 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

  • 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