Cardamom Sales Analysis Using Machine Learning and Power BI

Abstract — A commodity's sales analysis is critical in crop production planning. The purpose of this project is to forecast and analyze Cardamom sales over time using the K-Neighbors Regression model.Cardamom sales data in the Indian market were analysed and predicted using K-Neighbors Regression model in Power BI. Sales are appraised based on the amount of cardamom sold in the earlier auctions, and then the sales for next five years is determined. Forecast analytics in Power BI is used to predict sales using the K-Neighbors Regression model