STM Journals Peer-reviewed research from Consortium e-Learning Network

E-Commerce for Future & Trends

A Predictive Analytics Model for Maximising Profit in e-commerce Companies

  1. Sarjo Das
  2. Parth Singh
  3. Gaurav Puri

Abstract

AbstractPredictive analytics have become a crucial aspect for many e-commerce companies. The primary objective of this work is to apply and compare different machine learning techniques to build an efficient and accurate predictive model for the analysis and identification of customers who are expected to purchase again in the next 90 days. The main performance goal of the predictive model is to maximize profit for the e-commerce company by providing coupons to non-returning customers so that they are tempted to make follow up purchases.Keywords: SMOTE, xgboost, caret, ROC, AUC, cost matrixCite this ArticleSarjo Das, Parth Singh,Gaurav Puri. A Predictive Analytics Model for Maximising Profit in e-commerce Companies. E - Commerce for Future & Trends. 2017; 4(2): 19–32p.
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