SYSTEM AND METHOD FOR RISK-BASED AUDITING OF SELF-SCAN SHOPPING BASKETS

Patent №

US 10,496,946

Granted

2019-12-03

Filed 2014

Owner

CATALINA MARKETING CORPORATION

Lab

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14212211

The invention relates to systems and methods of selective auditing of mobile commerce baskets based on real-time behavior, profile information, event information, and/or other information in self-scan and other self-serve retail systems. The system may make a comprehensive, real-time, audit decision based on various risk factors that indicate a probability that a given shopping trip in a self-scan system includes a scan error. The audit decision may be parameterized such that different risk factors may be considered and weighted/prioritized with respect to other risk factors. For example, audit parameters may be used to determine which risk factors are used when processing the audit decision. The system may keep track of purchases, audits, and audit results in order to provide real-time reports and analytics. The system may also model audit decisions such that audit decisions may be simulated for a one or more retail locations during different time periods.

Knowledge representationPlanningG06Q 10/0635G06Q 20/18G06Q 20/322G06Q 20/4016

AI classification

Planning1.00
Knowledge representation0.88
AI hardware0.02
Machine learning0.01
Natural language0.00
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

CATALINA MARKETING CORPORATION

assignment · 324420629

Assignors

GEFFERT, WILLIAM, CHEUNG, AUBREY, GOPALAKRISHNAN, SATISH

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

© 2026 NYSGPT2525 LLC