System providing self-service access to locked merchandise

1. A system for enabling trusted shoppers to access self-checkout while restricting non-trusted shoppers in a retail environment, comprising:

(a) providing a means of uniquely identifying an individual attempting to access the self-checkout;

(b) providing one or more sensors for identifying self-checkout behaviors;

(c) measuring a set of behaviors of the individual during a time when the individual is in proximity of or interacting with the self-checkout;

(d) assessing whether the set of behaviors of the individual are suspicious or not relative to a set of suspicious event thresholds;

(e) storing the individual and their set of behaviors as accessible records in at least one database; and

(f) providing an algorithm which determines future access privileges of the individual to the self-checkout by analyzing their historical behaviors.

2. The system of claim 1 , wherein the set of behaviors measured is at least one selected from the group consisting of items not passed over the self-checkout price scanner, items not scanned but passed over the scanner, items scanned but the price and or barcode does not match the merchandise scanned, scanning all items but then not paying, being shown a scanning error and not correcting the error, scanning a low cost item and placing a higher cost item in the bagging area, the number of total transactions, the number of suspicious events, the number of non-suspicious events, having items in your cart which were not scanned via mobile checkout, and any other behavior intended to fraudulently receive merchandise without paying or without paying the actual price of the merchandise.

3. The system of claim 1 , wherein the method of uniquely identifying a shopper is at least one selected from the group consisting of shopper loyalty card information, government issued ID, financial institution cards such as debit cards or credit cards, cell phone numbers, cell phones carried by shoppers which may have local connectivity as a means of identification, a retailer's App which the shopper is logged into, biometric information such as facial recognition, palm ID, finger print readers, or other forms of biometric identifiers, employee ID cards or employee numbers, or any other form of personal identifying information.

4. The system of claim 2 , wherein the set of behaviors from each self-checkout interaction event comprises shopper behavior data and is stored in the at least one database.

5. The system of claim 2 , wherein statistical models are applied to the shopper behavior data to calculate the set of suspicious event thresholds that delineate normal shopping behaviors from suspicious shopping behaviors.

6. The system of claim 5 , wherein the set of suspicious event thresholds are periodically updated by the statistical models as additional shopper behavior data is collected by the system.

7. The system of claim 1 , wherein at least one sensitivity variable is used to adjust the calculation of the set of suspicious event thresholds.

8. The system of claim 7 , wherein the at least one sensitivity variable corresponds to a percentage of shoppers estimated to be offenders or a database of risk factors associated with a store.

9. The system of claim 1 , wherein the system further comprises a real time notification or alarm feature if the set of behaviors of the individual are suspicious relative to the set of suspicious event thresholds.

10. The system of claim 1 , wherein the system comprises a means of recording a video or storing images of the individual accessing the self-checkout, the merchandise scanned and the area surrounding the self-checkout before, during and after the self-checkout transaction.

11. The system of claim 9 , further comprising a means of transmitting the video or image to a device viewable by appropriate personnel, including the shopper.

12. The system of claim 1 , wherein statistical models are applied to an individual shopper's behavior data to create a trusted shopper score for the individual shopper.

13. The system of claim 12 , wherein historical behavior data from the individual shopper's behavior data are used to establish at least one threshold for the trusted shopper score.

14. The system of claim 13 , wherein shoppers whose trusted shopper score crosses the at least one threshold of the trusted shopper score would affect their access privileges to the self-checkout.

15. The system of claim 12 , wherein other shopper data unrelated to the shopper behavior data can be included in the calculation of the trusted shopper score.

16. The system of claim 15 , wherein the other shopper data unrelated to the shopper behavior data comprises at least one selected from the group consisting of historical purchase behaviors, return fraud behaviors, prior-theft incidence, police reports, credit scores, case management systems, and other data related to the shopper purchases or theft behaviors.

17. The system of claim 1 , wherein shoppers who have been denied access to the self-checkout due to their trusted shopper score can get reinstated by providing at least one selected from the group consisting of additional identifying information, financial information, a deposit, and other form of increased security or enhanced financial guarantees for the retailer.

18. The system of claim 1 , wherein the algorithm utilizes artificial intelligence to recognize patterns within an individual's behavior that affect their trusted shopper score either positively or negatively.