ENHANCING SALES OF DIGITAL PLATFORMS USING ML

ENHANCING SALES OF DIGITAL PLATFORMS USING ML
Author(s):
HIMANSHU CHATURVEDI, KUSHAGRA, ABHISHEK UPADHYAY, KESHAV GOYAL
Keywords:

Abstract
In the competitive scenario companies used to collect a large set of data, as most of the decision are related with the customer choice only. The data which is collected that can be the main source of important competitive advantage by utilizing it in estimating a contact's purchase probability using predictive analytics using supervised as well as unsupervised algorithms respectively. The result that came after the estimation of purchasing probability which can be useful for the company to estimate their problem of selling the course to the one who have maximum chance to be a lead. We have used two types of data which are as follows: The first one is the historical data which can be used as to training the data for the classification algos such as random forest, k-nearest neighbour [1], support vector machine [2] and many more which tells that the particular customer have purchased. the second data is provided by the developer side to train the data
Article Details
Unique Paper ID: 151715 Publication Volume & Issue: Volume 8, Issue 1 Page(s): 627 - 630
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