Project Description
Consumer purchase behavior analysis is the study of how people make purchase decisions with regard to a product, service, or organization. Studying consumer behavior would allow you to answer several questions, such as:
- How consumers feel about alternatives to their preferred brands
- How consumers choose between the alternatives
- How consumers behave while shopping
- How consumer behavior is swayed by their surrounding environment
- How marketing campaigns can be improved to more effectively influence customer behavior
- How much customer spends on your product
Solution:In this article, we will try to explore different trends from any shopping dataset (black Friday). We will extract useful information that will answer questions such as: what gender shops more. Do the occupations of the people have any impact on sales? Which age group is the highest spender?
In the end, we will create a simple machine learning algorithm that predicts the amount of money that a person is likely to spend on any occasion (ex: black Friday, amazon big billion days etc,) depending on features. An application is built which is integrated to the model built to display the predictions on UI.