Today, the collections process is not personalized – it’s either random or puts pressure on the consumer to choose their own repayment schedule. With U.S. households paying an average of 13 bills per month, it’s difficult to make the complex decisions involved in prioritizing bill payments which can result in delinquencies.
Provide users with personalized repayment schedules that align with their income and other bill payments using Pave’s predictive cashflow analytics. Reduce delinquencies, NSFs, and defaults to create a better customer experience.
Pave’s Paycheck Detection and Prediction Model returns a user’s predicted income amount and date and historical income transactions across income streams.
Pave’s Loan Detection allows you to track users’ loans and predict the next loan payment date and amount. Receive a unified view of a user’s cashflow including loan history and repayment data.
Pave allows you to track users’ recurring bills and predict the next bill date and amount using Bill and Subscription Detection. Receive a unified view of a user’s insights including bill, rent, utilities, BNPL, and subscription payments as well as repayment history.