IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Predicting Online Marketing Performance with Machine Learning Models

Main Article Content

K.C.Bhanu1, Dr.P.Uma Maheswari Devi2

Abstract

Now-a-days Online shopping is the method through which customers deal directly with products, services, etc. via the internet, directly from a seller in real-time interaction without the need of a middleman. E-commerce, or electronic commerce, is what is done when there is an intermediary. The primary goal of this project is to estimate the sales of various products, including groceries, electronics, autos, and more, using a machine learning algorithm. Sales forecasting is another name for projecting sales. In the process of projecting how much product or service a single salesperson, a sales team, or a firm is expected to sell in a specific time period, such as a day, week, month, quarter, or year, future sales are estimated. Today's market benefits both the manufacturer and the several other enterprises that produce components from sales forecasts. Additionally, forecast similar product recommendations by utilising CNN based on customer evaluations of things with visually comparable features, such as those you find on websites, such as Product that is like this.

Article Details