METHODS FOR IDENTIFYING AND REVISING HIGH-RISK ORDERS BASED ON IDENTIFIED ERRORS

Patent №

US 7,774,237

Granted

2010-08-10

Filed 2005

Owner

AT&T CORP.

Lab

AI components

3

nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11316018

A method for identifying high-risk orders associated with a customer that includes the steps of: receiving an order that includes a customer number, an order type and a plurality of entries; identifying a customer contract based on the order type and the customer number, the customer contract having a plurality of terms that correspond to the entries; comparing the entries to corresponding terms using rules; and identifying a high-risk order containing at least one error from the comparison. The method can also include assigning a result code or a result text to the order, which corresponds to the errors that are identified, and changing the rule set by adding or removing rules.

AI classification

Natural language1.00
Planning1.00
Knowledge representation0.89
Machine learning0.02
Speech0.01
AI hardware0.00
Vision0.00
Evolutionary computation0.00

Ownership

AT&T CORP.

assignment · 244540080

Assignors

BAJPAY, PARITOSH, BIENFAIT, ROBERTA ANN, CLARKE, KATHLEEN M., ESLAMBOLCHI, HOSSEIN, LIU, DAQIN, CHIANG, WAN-PING, LIU, JACKSON, PAJARILLO, ARNEL R., YANG, CHEN-YUI, ZINNIKAS, MICHAEL, MCCANUEL, JOHN

On an employer assignment, the assignors are typically the inventors.

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