System and method for using transaction statistics to facilitate checkout variance investigation

A system for facilitating checkout variance investigation, said system comprising:

• at least one processing unit;
• memory operably associated with the at least one processing unit;
• a generating tool storable in memory and executable by the at least one processing unit, said generating tool configured to generate a set of benchmark parameters based on results of a cumulative learning process;
• a normalizing tool storable in memory and executable by the at least one processing unit, said normalizing tool configured to normalize said set of benchmark parameters;
• an establishing tool storable in memory and executable by the at least one processing unit, said establishing tool configured to establish a confidence time interval required for identifying normal variations;
• a recording tool storable in memory and executable by the at least one processing unit, said recording tool configured to record a particular checker's transactions during said confidence time interval, and
• an identifying tool storable in memory and executable by the at least one processing unit, said identifying tool configured to identify transactions, recorded during said confidence time interval, that fail meeting said set of benchmark parameters.

A computer-readable medium storing computer instructions, which when executed, enable a computer system to facilitate checkout variance investigation, the computer instructions comprising:

• generating a set of benchmark parameters during a cumulative learning process;
• normalizing said set of benchmark parameters,
• establishing a confidence time interval required for identifying normal variations;
• recording a particular checker's transactions during said confidence time interval, and
• identifying transactions, recorded during said time interval, that fail meeting said set of benchmark parameters.

A method for deploying a facilitating tool for facilitating checkout variance investigation, said method comprising:

• providing a computer infrastructure operable to:
• generate a set of benchmark parameters during a cumulative learning process;
• normalize said set of benchmark parameters,
• establish a confidence time interval required for identifying normal variations;
• record a particular checker's transactions during said confidence time interval, and
• identify transactions, recorded during said time interval, that fail meeting said set of benchmark parameters.