System and method for enhancing credit and debt collection

• US 8,620,725 B2
• Filed: 06/21/2010
• Issued: 12/31/2013
• Est. Priority Date: 06/19/2009
• Status: Active Grant

• Current Assignee: NEU IP LLC
• Original Assignee: NEU IP LLC
• Inventors: Neuweg, Ryan A., Bauer, David E.
• Primary Examiner(s): Sterrett, Jonathan G
• Assistant Examiner(s): Anderson, Folashade
• Application Number:
  US12/819,913
• Publication Number:
  US 20100324966A1
• Time in Patent Office: 1,289 Days
• Field of Search: 705/7.38
• US Class Current: 705/7.38
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

A system and method for enhancing assignment of debtor accounts to a plurality of collection parties is presented. The preferred embodiment is capable of optimizing the way by which individual performance entities are assigned to collect on actionable individual debtor accounts by a creditor. An analysis solution uses algorithms to analyze gathered data and to provide a score to each collection party based upon the traits of the individual collection parties, debtor accounts, creditor, externally acquired data, and constraints upon all of the parties involved. The system and method are also capable of enhancing an individual borrower'"'"'s credit score depending on the risk involved with providing credit to that particular borrower based upon the collectability upon default.

Claims

1. A method of enhancing the allocation of account entity debtor accounts to performance entity collection parties from an input data set entered into an analysis computer system including at least one computer system with a suitable processor, a database accessible to the processor, and an algorithm for allocating said debtor accounts, which method comprises the steps of:

submitting supply entity creditor data traits from a supply entity creditor to said analysis computer system;

submitting account entity debtor account data traits from at least one debtor account to said analysis computer system;

submitting performance entity collection party performance data traits from at least two collection parties to said analysis computer system;

acquiring external data inputs comprised of data from sources external to said supply entity creditor, performance entity collection parties, account entity debtor accounts, and said analysis computer system, said external data inputs possessing external data traits from macro-economic data, supply data, performance data and action data;

inputting said external data inputs to said analysis computer system;

acquiring at least one constraint comprising data from said supply entity, performance entities, or account entities not contained by said supply qualifiers, performance qualifiers, or account qualifiers;

providing at least one supply entity creditor computer system capable of communicating with said analysis computer system;

providing at least one supply entity creditor data base containing a list of account entity debtors and a list of said performance entity collection parties;

transferring said list of debtor account entities and performance entity collection parties to said analysis computer systems and databases;

configuring said analysis computer system with said algorithm to compile input data from said creditor data traits, debtor account data traits, collection party data traits, and external data traits into said analysis computer system databases;

configuring said algorithm to compare said compiled input data and transform the input data into output data;

configuring said algorithm to reallocate each of said action entity debtors to one of said performance entity collection parties based on said output data in consideration of said constraints;

assigning a collection party score to each of said performance entity collection parties for each debtor account;

allocating said debtor accounts to each of said collection parties based upon the assigned score in consideration of said constraints;

configuring said algorithm to utilize said external data inputs to assign said collection party scores and to allocate said action entity debtor accounts among said performance entity collection parties;

selecting a debtor account seeking credit from said creditor;

adjusting said debtor account'"'"'s credit score according to analysis computer system output;

selecting an account entity debtor account seeking credit from said creditor;

generating an action modifier value based on degree of difficulty for said collection party known to the analysis solution database and/or supply entity to collect on said debt account in the event of default;

correlating said debt accounts to collection entities and adjusting credit scores based on said correlation;

allocating said debtor accounts to each of said collection parties based upon the assigned collection party score in consideration of said constraint;

adjusting said debtor account'"'"'s credit score according to analysis computer system output;

performing a confirmation check;

if confirmation not granted;

requesting changes;

regenerating action modifiers based on said changes; and

resubmitting said action modifier values to said confirmation tables; and

granting confirmation upon compliance with said action modifier values to said confirmation tables.

2. The method of claim 1, comprising the additional steps:

selecting a debtor account seeking credit from said creditor;

adjusting said debtor account'"'"'s credit score according to analysis computer system output.

3. The method of claim 2, comprising the additional steps:

compiling all gathered and sorted input data; and

providing a credit score to an individual seeking credit from the creditor based on said input and output data.