ChargeMonk's Machine Learning


    ChargeMonk Revenue Optimization Engine

As per the survey, recurring transactions are declined by 15 percent each month. Due to which there is a loss of revenue often and it is necessary to any subscription business to fix these problems.

The revenue optimization engine of ChargeMonk by means of machine learning applies an individually-personalized and effectual retry schedule for the failed transactions so that they can process effectively. It is because of this technology that the subscription businesses recover failed subscription renewals by 61 percent on an average. In addition to this, it decreased the churn of subscriber and increased payment success rate revenue that results from the failed transactions.



Progressively, machine learning and Artificial Intelligence (AI) are being used to intelligently and efficiently evaluate huge sets of data to recognize patterns, which can be utilized then to enhance the decision-making. As an instance, the online fraud also uses Artificial Intelligence to enhance the identification of possibly fraudulent transactions and the forms that may be behind the different types of fraud. 
The another area to gain advantage from the machine learning and artificial intelligence is payments process. Whenever a recurring transaction fails, a customized retry schedule is created by this technology for each transaction, so consequent retries have a higher possibility of succeeding.


Extensively Enhanced Transaction Success Rates

With the help of this advanced retry technology, ChargeMonk will be able to considerably enhance the transaction success rates for our merchants. The matter of fact is that ChargeMonk can recover, 61% of initially failed transactions on an average by our retry technology and decline management. 
Machine learning model are the most effectual when they are updated on the basis of new data constantly. Since it was launched, we have updated this model twice that powers the Revenue Optimization Engine that results in considerable improvements to the precision of the model’s forecast.

Recurring for the win

The major core values of  ChargeMonk is to recur everything to enhance our product including processes and feature continuously. 


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