Retailers Use Facial Recognition to Tackle $100B in Annual Sweethearting Lo

Published Date : 29/10/2024 

Retailers across the globe are turning to facial recognition technology to combat the rising tide of retail theft, particularly 'sweethearting' — a form of insider fraud. This article explores the innovative solutions and challenges faced by the industry. 

Retail theft is on the rise in the U.S., with annual losses estimated at a staggering $100 billion.

Beyond the traditional forms of shoplifting and employee theft, a growing challenge is 'sweethearting' — a form of insider fraud where employees covertly grant unauthorized discounts or free items to friends or family members.

This type of theft often goes undetected, as employees exploit their access to systems by bypassing item scans, issuing false refunds, or misusing employee discounts.

To combat this form of fraud, Corsight AI has developed a facial recognition-based module specifically designed to identify and prevent sweethearting incidents.

Corsight’s global VP of sales, Gal Biton, explains that their facial intelligence platform analyzes employee-customer interactions, identifying unusual patterns and flagging frequent and suspicious contacts for further review by security teams.

'These flagged interactions often reveal sweethearting cases where customers, in cooperation with cashiers, leave with unpaid items,' Biton adds.

Corsight’s sweethearting module is part of a broader AI-driven retail security suite, which includes features to track individuals on watchlists, detect unauthorized access to restricted areas, and monitor loitering or other behaviors associated with theft.

The suite aims to tackle the multiple facets of retail crime, a growing concern not only in the U.S.

but also in other regions where retailers are trialing similar technology.

According to the Security Industry Association (SIA), recent research shows that senior retail executives consider facial recognition technology a crucial tool in combating theft.

A survey conducted by the UK-based firm Opinion Matters among 300 senior retail leaders in the U.S.

and the UK found that at least 15 of the top 50 grocery stores in the U.S.

have adopted facial recognition technology.

Aside from Corsight’s technology, Facewatch, a cloud-based facial recognition system, is gaining traction.

Facewatch compares real-time images with a pre-existing database to identify potential matches with individuals linked to previous incidents of theft or antisocial behavior.

When a match is detected, it instantly alerts retail staff, allowing them to respond swiftly in-store.

Global adoption of facial recognition technology in retail is on the rise.

A pilot in New Zealand grocery stores has shown promising early results in identifying and curbing theft through facial recognition, providing a potential model for broader adoption.

In the U.K., lawmakers are actively debating the use of facial recognition as a viable tool for the retail sector, where theft levels have also risen.

However, the technology’s spread isn’t without its challenges; in New York City, a bill is under consideration that would restrict the use of facial recognition in grocery stores, raising concerns about privacy and surveillance in public spaces.

Grocery store owners in New York City are pushing back against the proposed bill that would restrict the use of facial recognition software.

Additionally, the city council has introduced a measure requiring businesses to notify customers and obtain written consent before using biometric recognition, with noncompliance resulting in a $5,000 fine. 

Frequently Asked Questions (FAQS):

Q: What is 'sweethearting' in retail?

A: Sweethearting is a form of insider fraud where employees covertly grant unauthorized discounts or free items to friends or family members. This type of theft often goes undetected as employees exploit their access to systems by bypassing item scans, issuing false refunds, or misusing employee discounts.

Q: How does Corsight AI combat sweethearting?

A: Corsight AI has developed a facial recognition-based module that analyzes employee-customer interactions, identifying unusual patterns and flagging frequent and suspicious contacts for further review by security teams. This helps to identify and prevent sweethearting incidents.

Q: What is Facewatch and how does it help in retail security?

A: Facewatch is a cloud-based facial recognition system that compares real-time images with a pre-existing database to identify potential matches with individuals linked to previous incidents of theft or antisocial behavior. When a match is detected, it instantly alerts retail staff, allowing them to respond swiftly in-store.

Q: Are there any challenges to the adoption of facial recognition in retail?

A: Yes, there are challenges. For example, in New York City, a bill is under consideration that would restrict the use of facial recognition in grocery stores, raising concerns about privacy and surveillance in public spaces. Additionally, the technology must be used responsibly to avoid potential misuse.

Q: What are the benefits of using facial recognition in retail?

A: Facial recognition technology can help retailers combat various forms of theft, including shoplifting and sweethearting. It can also improve overall security by tracking individuals on watchlists, detecting unauthorized access to restricted areas, and monitoring behaviors associated with theft. 

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