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Optimizing Stock Prediction in Supermarket: A Comparative Analysis of LightGBM and XGBoost for Enhanced Inventory Management

Stock management in supermarkets is a critical challenge due to unpredictable demand fluctuations and seasonal purchasing patterns. Inaccurate forecasting often leads to understocking or overstocking, which in turn reduces customer satisfaction and causes financial losses. To overcome this problem,...

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Principais autores: Devi Dwi Purwanto, Philipus Suryo Subandoro, Agustinus Bimo Gumelar
פורמט: Artigo
שפה:Inglês
יצא לאור: Universitas Pendidikan Ganesha 2025-12-01
סדרה:Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
נושאים:
Prediction
LightGBM
XGBoost
GridSearchCV
RandomizedSearchCV
גישה מקוונת:https://ejournal.undiksha.ac.id/index.php/janapati/article/view/94433
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