COLLECTION DEBT BILL

Brand Owner (click to sort) Address Description
MOBILEF1RST PAYVIA, INC. 6601 CENTER DR. W #700 LOS ANGELES CA 90045 Collection of debt and bill payments; electronic funds transfer services; financial bill payment services; electronic payment services, namely, electronic processing and transmission of bill payment data; bill payment administration services; payment of bills and accounts for others; payment transaction card services, namely, electronic credit card and debit card transactions; processing of electronic payments made through prepaid cards for banks;MOBILE FIRST; MOBILE F ONE RST;
MOBILEF1RST MTRUST, INC. 6601 CENTER DRIVE W SUITE 700 LOS ANGELES CA 90045 Collection of debt and bill payments; electronic funds transfer services; financial bill payment services; electronic payment services, namely, electronic processing and transmission of bill payment data; bill payment administration services; payment of bills and accounts for others; payment transaction card services, namely, electronic credit card and debit card transactions; processing of electronic payments made through prepaid cards for banks;MOBILE FIRST; MOBILE F ONE RST;
MOBILEF1RST Mobile First Ltd. Room 2912, Shell Tower 1 Matheson Street, Times Square Causeway Bay Hong Kong Collection of debt and bill payments; electronic funds transfer services; financial bill payment services; electronic payment services, namely, electronic processing and transmission of bill payment data; bill payment administration services; payment of bills and accounts for others; payment transaction card services, namely, electronic credit card and debit card transactions; processing of electronic payments made through prepaid cards for banks;MOBILE FIRST; MOBILE F ONE RST;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A predictive model, for example, a neural network, evaluates individual debt holder accounts and predicts the amount that will be collected on each account based on learned relationships among known variables. The predictive model is generated using historical data of delinquent debt accounts, the collection methods used to collect the debts in the accounts, and the success of the collection methods. In one embodiment, the predictive model is generated using profiles of delinquent debt accounts summarizing patterns of events in the accounts, and the success of the collection effort in each account. In another embodiment, the predictive model includes a mathematical representation of the collector's notes created during the collection period for each account.