Potential Customer Prediction

Authors

  • Suyash S. Tambe Student, Department of Information Technology, Padmabhushan Vasantdada Patil College of Engineering and Visual Arts, Mumbai, INDIA
  • Vivek Ambetkar Student, Department of Information Technology, Padmabhushan Vasantdada Patil College of Engineering and Visual Arts, Mumbai, INDIA
  • Prathamesh Ambovkar Student, Department of Information Technology, Padmabhushan Vasantdada Patil College of Engineering and Visual Arts, Mumbai, INDIA

DOI:

https://doi.org/10.31033/ijemr.11.2.14

Keywords:

Customer, Prediction, Machine Learning, Apriori Algorithm

Abstract

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 Algorithm" 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.

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Published

2021-04-30

How to Cite

Suyash S. Tambe, Vivek Ambetkar, & Prathamesh Ambovkar. (2021). Potential Customer Prediction. International Journal of Engineering and Management Research, 11(2), 100–102. https://doi.org/10.31033/ijemr.11.2.14