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arXiv · 2005.07575

Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data

Emir Zunic·Kemal Korjenic·Kerim Hodzic·Dzenana Donko
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Abstract

This paper presents a framework capable of accurately forecasting future sales in the retail industry and classifying the product portfolio according to the expected level of forecasting reliability. The proposed framework, that would be of great use for any company operating in the retail industry, is based on Facebook's Prophet algorithm and backtesting strategy. Real-world sales forecasting benchmark data obtained experimentally in a production environment in one of the biggest retail companies in Bosnia and Herzegovina is used to evaluate the framework and demonstrate its capabilities in a real-world use case scenario.

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Emir Zunic, Kemal Korjenic, Kerim Hodzic, Dzenana Donko. 2020-05-07. Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data. https://doi.org/10.5121/ijcsit.2020.12203

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