Transaction audit suggestions based on customer shopping behavior

Abstract

Systems, methods, and computer program products to perform an operation comprising receiving location data identifying a plurality of areas visited by a person in a shopping environment providing self-serve-checkout, identifying, based on the location data, a first product located in a first area of the plurality of areas in the shopping environment visited by the person, and returning an indication to perform an audit to determine whether the person is in possession of the first product without including the first product as part of a purchase completed by the person using self-serve-checkout.

What is claimed is: 
     
         1 . A method, comprising:
 receiving location data identifying a plurality of areas visited by a person in a shopping environment providing self-serve-checkout;   identifying, based on the location data, a first product located in a first area of the plurality of areas in the shopping environment visited by the person; and   returning, by operation of one or more computer processors, an indication to perform an audit to determine whether the person is in possession of the first product without including the first product as part of a transaction completed by self-serve-checkout.   
     
     
         2 . The method of  claim 1 , further comprising:
 receiving data identifying a plurality of products included by the person as part of the transaction, wherein the first product is not included in the plurality of products included by the person.   
     
     
         3 . The method of  claim 1 , wherein the location data specifies one or more of: (i) a total amount of time the person spent in a respective area of the plurality of areas in the shopping environment, (ii) a number of times the person visited the respective area, (iii) an indication that the person added a different product for transaction in the respective area, and (iv) a quantity of the different product added by the person. 
     
     
         4 . The method of  claim 1 , wherein the first product is returned upon determining an audit score computed for the first product exceeds an audit threshold. 
     
     
         5 . The method of  claim 4 , wherein the audit score for the first product is computed based on one or more of: (i) a user profile of the person, (ii) determining that the first area in the shopping environment is a high theft area, (iii) determining that the first product is subject to repeated historical thefts, (iv) a correlation between the first product and a second product, wherein the person added the second product to the transaction, (v) an average quantity of the first product purchased across all transactions in the shopping environment, and (vi) determining that the person spent an amount of time in the first area exceeding a time threshold without adding products to the transaction. 
     
     
         6 . The method of  claim 1 , wherein the location data is generated by at least one of: (i) a wireless data module and (ii) a GPS module of a mobile device possessed by the person. 
     
     
         7 . The method of  claim 1 , wherein the person completes the transaction using self-serve-checkout via at least one of: (i) a mobile checkout application executing on a mobile device, and (ii) a self-scan kiosk in the shopping environment. 
     
     
         8 . A system, comprising:
 one or more computer processors; and   a memory containing a program, which when executed by the processors, performs an operation comprising:
 receiving location data identifying a plurality of areas visited by a person in a shopping environment providing self-serve-checkout; 
 identifying, based on the location data, a first product located in a first area of the plurality of areas in the shopping environment visited by the person; and 
 returning an indication to perform an audit to determine whether the person is in possession of the first product without including the first product as part of a transaction completed by self-serve-checkout. 
   
     
     
         9 . The system of  claim 8 , the operation further comprising:
 receiving data identifying a plurality of products included by the person as part of the transaction, wherein the first product is not included in the plurality of products included by the person.   
     
     
         10 . The system of  claim 8 , wherein the location data specifies one or more of: (i) a total amount of time the person spent in a respective area of the plurality of areas in the shopping environment, (ii) a number of times the person visited the respective area, (iii) an indication that the person added a different product for transaction in the respective area, and (iv) a quantity of the different product added by the person. 
     
     
         11 . The system of  claim 8 , wherein the first product is returned upon determining an audit score computed for the first product exceeds an audit threshold. 
     
     
         12 . The system of  claim 11 , wherein the audit score for the first product is computed based on one or more of: (i) a user profile of the person, (ii) determining that the first area in the shopping environment is a high theft area, (iii) determining that the first product is subject to repeated historical thefts, (iv) a correlation between the first product and a second product, wherein the person added the second product to the transaction, (v) an average quantity of the first product purchased across all transactions in the shopping environment, and (vi) determining that the person spent an amount of time in the first area exceeding a time threshold without adding products to the transaction. 
     
     
         13 . The system of  claim 8 , wherein the location data is generated by at least one of: (i) a wireless data module and (ii) a GPS module of a mobile device possessed by the person. 
     
     
         14 . The system of  claim 8 , wherein the person completes the transaction using self-serve-checkout via at least one of: (i) a mobile checkout application executing on a mobile device, and (ii) a self-scan kiosk in the shopping environment. 
     
     
         15 . A computer program product comprising:
 a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code when executed by one or more computer processors performs an operation comprising:
 receiving location data identifying a plurality of areas visited by a person in a shopping environment providing self-serve-checkout; 
 identifying, based on the location data, a first product located in a first area of the plurality of areas in the retail store visited by the person; and 
 returning an indication to perform an audit to determine whether the person is in possession of the first product without including the first product as part of a transaction completed by self-serve-checkout. 
   
     
     
         16 . The computer program product of  claim 15 , the operation further comprising:
 receiving data identifying a plurality of products included by the person as part of the transaction, wherein the first product is not included in the plurality of products included by the person.   
     
     
         17 . The computer program product of  claim 15 , wherein the location data specifies one or more of: (i) a total amount of time the person spent in a respective area of the plurality of areas in the shopping environment, (ii) a number of times the person visited the respective area, (iii) an indication that the person added a different product for transaction in the respective area, and (iv) a quantity of the different product added by the person. 
     
     
         18 . The computer program product of  claim 15 , wherein the first product is returned upon determining an audit score computed for the first product exceeds an audit threshold. 
     
     
         19 . The computer program product of  claim 18 , wherein the audit score for the first product is computed based on one or more of: (i) a user profile of the person, (ii) determining that the first area in the shopping environment is a high theft area, (iii) determining that the first product is subject to repeated historical thefts, (iv) a correlation between the first product and a second product, wherein the person added the second product to the transaction, (v) an average quantity of the first product purchased across all transactions in the shopping environment, and (vi) determining that the person spent an amount of time in the first area exceeding a time threshold without adding products to the purchase. 
     
     
         20 . The computer program product of  claim 15 , wherein the location data is generated by at least one of: (i) a wireless data module and (ii) a GPS module of a mobile device possessed by the person, wherein the person completes the purchase using self-serve-checkout via at least one of: (i) a mobile checkout application executing on a mobile device, and (ii) a self-scan kiosk in the shopping environment.