A Retail Product Prediction Model Incorporating Machine Learning and Propensity Score Matching Method

Existing machine learning methods for retail product sales forecasting often rely on their own time series data and tend to ignore the correlation between the target retail product and other products. In this paper, we take cigarette product retail sales prediction as an example, and use the neighbo...

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Vydané v:	2024 7th International Conference on Computer Information Science and Application Technology (CISAT) s. 1030 - 1038
Hlavní autori:	Chen, Kaidi, Liang, Xuexia, Mo, Yuhua, Li, Yuankun, Xu, Liangben, Kong, Weili
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 12.07.2024
Predmet:	Alcoholic beverages Analytical models Cigarette Release Strategy Clustering algorithms component Data models Decision making Decision-making Quality Heuristic algorithms KMeans++ Clustering Algorithm Machine learning Machine learning algorithms Machine Learning XGBoost Algorithm Prediction algorithms Predictive models Propensity Score Matching
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