Konstantin Pavlyuchenko
ABSTRACT
Many organizations inside FMCG industry tries to improve their business process and make them more effective, by implementing different technologies, one of the is predictive analytics. This technology used in spheres like planning and forecasting product sales. Because market trend is very unstable, company needs to know how much to produce. This work focuses on implementing predictive analytics inside existing business process, to increasing the efficiency of company stock, shipment planning. The subject of the work is predictive analytics tools and machine learning algorithms, that can be used in existing business process; the object - a predictive model that forecast target values and formula for evaluating its impact inside FMCG Company "X".
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Index Terms
- Application of Predictive Analytics to Sales Planning Business Process of FMCG Company
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