JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Super market sales prediction.
Swathi GS, Arun kumar KL
supermarket sales are not always easier seasons holidays and other frequent events may significantly affect sales which in turn impacts the accuracy and dependability of the forecasts there are other issues due to the granularity and quality of data supermarkets and shopping centers now days keep an eye related to certain goods in an effort to forecast future demand from customers employees in supermarket sales prediction apply a types of technical skills to project future sales and meet predetermined goals here the gradient boosting regression GBR p l a n e x p e r t i s e m e t h o d algorithm is utilized to gather data by analyzing previous historical sales and incorporating information about promotions holidays and other factors like weather and economic indicators by accurately predicting demand supermarkets can better meet the needs of their customers which increases sales and revenue.
Grocery sales prediction, sales forecasting, temporal data analysis, automated analysis, retail analytics