Predicting if session parameters will lead to "successful event" or a "non-successful event".
All of us understand the importance of User experience of any Omni-channel application for a service provider, especially in the field of e-commerce. As important as it is to have a great e-commerce platform experience, it is also important for the payment solutions to have a seamless experience and although there are multiple payment market solutions, not all experiences are seamless and user friendly. In this scenario, one of the leading payment solutions clients, who operates across multiple countries in Europe, is facing a challenge in closing e-commerce sales due to lack of impactful user experience through their payments portal. They are tracking multiple system parameters associated with payment improve their performance. Here the challenge is to come up with a model which can accurately predicts whether a given session parameters will lead to a "successful event" or a "non-successful event".