Comparative Study of Machine Learning Algorithms for Sales Forecasting: Facebook Prophet vs. Established Statistical Models

Purpose: Our primary objective was to compare the performance of Facebook Prophet, a popular ML algorithm, against established statistical models like SARIMA and Holt-Winters. This study focused on analysing time series sales data, acknowledging the significant influence of seasonality on sales patterns.

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.52783/eel.v15i1.2751
Primary Topic
Data Stream Mining Techniques
Type
article
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0.00
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article

Comparative Study of Machine Learning Algorithms for Sales Forecasting: Facebook Prophet vs. Established Statistical Models

Data Stream Mining Techniques
article

Comparative Study of Machine Learning Algorithms for Sales Forecasting: Facebook Prophet vs. Established Statistical Models

article en

Abstract

Purpose: Our primary objective was to compare the performance of Facebook Prophet, a popular ML algorithm, against established statistical models like SARIMA and Holt-Winters. This study focused on analysing time series sales data, acknowledging the significant influence of seasonality on sales patterns.

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Data Stream Mining Techniques
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Comparative Study of Machine Learning Algorithms for Sales Forecasting: Facebook Prophet vs. Established Statistical Models · (2025) | TGRS Research Map | TGRS