Product Sales Forecasting using Quantitative Methods

As the impact of the Internet on people's lives grows, e-commerce platforms are developing more quickly, with both their user bases and revenue growth. Strong government policy support in recent years has also helped to create a favourable climate for the growth of the e-commerce sector. The epidemic of this year has highlighted the ecommerce industry's rise in the national economy. In these conditions, e-commerce platforms and firms are becoming more numerous and competitive. A platform must be able to better satisfy user demands and perform admirably in all areas of coordination and administration if it hopes to preserve its competitive edge. Accurately predicting the sales volume of e-commerce platforms at this time is crucial. We are now looking on the prediction model that can be more useful in different situations despite the fact that there are already many studies on forecasting e-commerce sales. I choose to research and examine a number of quantitative forecasting methods for this paper's assessment of time series analysis and forecasting. This notebook discusses methods for forecasting product sales as well as in-depth justifications for the various metrics used to evaluate the projections.