Model-based data validation

A method comprising:

• generating and storing a fraud predictive model based on historic transaction data including data of at least some transactions known to include fraud and indicated as such within the historic transaction data;
• receiving, via a network from a self-scanning device, a self-scan dataset of items for purchase within a purchase transaction;
• evaluating the self-scan dataset based on the fraud predictive model to determine whether to require a rescan of items represented in the self-scan dataset;
• when a rescan is determined to be required, transmitting via the network to at least one of the self-scan device and at least one device of a store employee data indicating a rescan is required;
• and
• when a rescan is not determined to be required, permitting the purchase data processing transaction to proceed.

A system comprising:

• at least one processor;
• a network interface device;
• at least one memory device storing instructions executableby the at least one processor to perform data processing activities comprising:
• receiving, via the network interface device from a self-scanning device, a self-scan dataset of items for purchase within a purchase data processing transaction;
• evaluating the self-scan dataset to determine whether to require a rescan of items represented in the self-scan dataset;
• when a rescan is determined to be required, transmitting via the network interface device to at least one of the self-scan device and at least one device of a device of a store employee data indicating a rescan is required;
• and
• when a rescan is not determined to be required, permitting the purchase data processing transaction to proceed.