Self-service checkout to reduce risk of shoplifting
AssigneeDatalogic IP Tech S.R.L.
InventorsFrancesco D'Ercoli, Flavio Poli
Life of this patent
Estimating the term…
Abstract
A system and method to evaluate transactions executed at self-server point-of-sale (POS) terminals located at retail stores with improved ability to identify potential shoplifting incidents. The service determines most stolen K items (MSKI) from a transaction history and shopping theft data of the retail store, where K is an integer value greater than one. The service generates a set of not stolen K items (NSKI) based on market basket analysis of the transaction history. The service defines suspect transaction classes based on the MSKI and the NSKI and generates an alert for a current transaction at the retail store when items in the current transaction match one of the suspect transaction classes.
Claims20
A method to evaluate transactions executed at self-service point-of-sale (POS) terminals located at retail stores with improved ability to identify potential shoplifting incidents, comprising:
- determining most stolen K items (MSKI) from a transaction history and shopping theft data of the retail store, where K is an integer value greater than one;
- generating a set of not stolen K items (NSKI) based on market basket analysis of the transaction history;
- defining suspect transaction classes based on the MSKI and the NSKI;
- and
- generating an alert for a current transaction at the retail store when items in the current transaction match one of the suspect transaction classes.
A system to evaluate transactions executed at self-server point-of-sale (POS) terminals located at retail stores with improved ability to identify potential shoplifting incidents, comprising:
- a database for storing a transaction history and shopping theft data of the retail store;
- a self-shopping POS terminal located at the retail store;
- and
- a service implemented by a processor and memory storing machine-readable instructions that when executed by the processor cause the service to:
- determine most stolen K items (MSKI) from the transaction history and the shopping theft data, where K is an integer value greater than one;
- generate a set of not stolen K items (NSKI) based on market basket analysis of the transaction history;
- define suspect transaction classes based on the MSKI and the NSKI;
- and
- generate an alert for a current transaction at the retail store when items in the current transaction of the self-shopping POS terminal match one of the suspect transaction classes.
Dependencies are inferred from the claim text.