Skip to content

A customer segmentation and product recommendation system using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter

Notifications You must be signed in to change notification settings

akvalv/Smart_Retailer-InformationProduct

Repository files navigation

Smart Retailer InformationProduct - A customer segmentation and product recommendation system

Using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter

"Smart Retailers," a new quality information product, is an online information product for a local grocery store. The goal of this project is to create a machine-learning model that uses market basket analysis to identify correlations between items in customers' shopping carts. Market basket analysis (MBA) is a data mining technique that can be used to identify correlations between frequently purchased items online and important relationships between products, which can help smart retailers increase online sales and generate revenue. It can also assist in identifying products that customers frequently purchase together in a single transaction or across multiple transactions.

About

A customer segmentation and product recommendation system using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published