1. A computer-implemented method for assigning an interaction channel to a customer comprising: receiving problem data relating to a customer interaction arising from a purchase of a product or service; receiving product data relating to the product or service purchased by a customer during the customer interaction; receiving information about the customer that purchased the product or service; transforming the problem data, product data, and the information about the customer into data; determining, using a computing platform comprising at least one processor, contributing variables using the data, wherein the determining comprises computing contributing variables according to whether the variable is for a numerical or categorical prediction; building a plurality of predictive models using the contributing variables, wherein any of the plurality of predictive models is configured to predict any of: a probability of a customer to face a particular problem or issue based on an engagement stage of the customer with the company, wherein the engagement stage is product or service specific and measured by time after purchase or is the stage of a life cycle of the customer; a customer's preference of a particular channel based on type of concern and reduction of resolution time through the particular channel; and a probable impact of a particular problem on a customer's loyalty, growth, and profitability score; and selecting and assigning an interaction channel to the customer from among a plurality of interaction channels based upon any of the plurality of predictive models.