Potential Customer Prediction

International Journal of Engineering and Management Research

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Field Value
Title Potential Customer Prediction
Creator Suyash S. Tambe
Vivek Ambetkar
Prathamesh Ambovkar
Subject Customer
Machine Learning
Apriori Algorithm
Description Major industries today are dealing with large amount of data even small shops are no oblivion for the huge pile of customer data. To gain profit in competitive marketing is imperative that the useful information shall be extracted out of this data. The processing of this huge pile of data becomes monotonous task and the different types of software and algorithms are developed to process and acquire result out of this data. This project deals with same kind of problem of dealing with data. Taking customer purchase history as an input our system using "Apriori Algoritm" classifies these customers as potential and non-potential customers. Customers who are potential are more likely to buy more from the store and help enhance business.
Publisher Vandana Publications
Date 2021-04-30
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/756
Source International Journal of Engineering and Management Research; Vol. 11 No. 2 (2021): April Issue; 100-102
Language eng
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/756/840
Rights Copyright (c) 2021 International Journal of Engineering and Management Research

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