ABSTRACT
Online product review sites are becoming more popular, encouraging users to share their thoughts. Product knowledge is provided. Online reviews are crucial for product sales forecasts. Forecasting sales is crucial to buying things. Organizations now face a dynamic, multinational, and uncertain commercial environment. Machine Learning (ML) forecasts sales well. Technological innovation drives massive sales rate changes to ensure firm profitability. Python is used to implement Jupiter sales forecasting. Machine learning's ARIMA (Autoregressive integrated moving average) methodology improves sales forecasting security and profitability for various corporate applications.
