Method and Apparatus for a Model Assessing Debtor Behavior

Abstract

A computer implemented method for assessing different expected payment behavior of a debtor with respect to different creditors.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

The teachings of the present invention can be readily understood by considering the following detailed description in conjunction with the accompanying drawings, in which:

FIG. 1 depicts a high-level block diagram of a computer implemented apparatus according to an embodiment of the invention;

FIG. 2 depicts a flow diagram of a method for developing a business credit data interchange (BCDI) score;

FIG. 3 depicts a flow diagram of a method for implementing a BCDI score;

FIG. 4 depicts a flow diagram of an alternate method for implementing a BCDI score; and

FIG. 5 depicts a high-level block diagram of a general-purpose computer suitable for use in performing the functions described herein.

Claims

1. A computer readable medium containing a program which, when executed by a processor, performs a method comprising: aggregating at least one of account receivable data and payment data of a debtor from each of a plurality of creditors; andusing the aggregated debtor data and debtor data from at least one creditor (j) to determine a probability of a credit or collection event (P(CCEij)) of a debtor (i) with respect to at least one creditor (j); andstoring, in a memory, values corresponding to the P(CCE).

2. The method of claim 1, wherein the P(CCEij) is determined according to the following equation: P(CCEij)=F(ARij, APPij, OTHERi, BCDIi1, BCDIi2, . . . BCDIiJ); whereAR comprises data for debtor (i) with creditor (j), other optional internal data, APP, for debtor (i) with creditor (j), other optional third party data, OTHER, providing more information on debtor (i) and data contained in BCDI data elements for debtor (i) across all J creditors in the BCDI.

3. A computer readable medium containing a program which, when executed by a processor, performs a method comprising: adapting a debtor score at a first creditor model in response to account receivable data and payment data of the debtor received from a second creditor model, each of the creditor models being generated according to respective Business Credit Data Interchange (BCDI) group; andstoring, in a memory, values corresponding to the debtor score.

4. The method of claim 3, wherein the debtor score comprises a probability of a credit or collection event (P(CCEij)) of the debtor (i) with respect to at least one creditor (j).

5. A computer readable medium containing a program which, when executed by a processor, performs a method for predicting a behavior of a debtor (i) with respect to a creditor (j), the method comprising: using a first creditor model to determine a first probability of a credit or collection event of the debtor (i) with respect to the creditor (j) (P(CCEij)), the first creditor model having been generated using a first Business Credit Data Interchange (BCDI) group;using a second creditor model to determine a second P(CCEij), the second creditor model having been generated using a second BCDI group;combining the first P(CCEij) and the second P(CCEij) to provide a combined P(CCEij); andstoring, in a memory, values corresponding to the combined P(CCEij).