Overview
Berry AI Security / Loss Prevention is an AI-powered loss prevention system that automatically detects suspicious activities in your restaurant — eliminating the need for time-consuming manual video reviews. The system pairs video evidence from AI cameras with POS transaction data to flag potentially fraudulent refunds, unauthorized employee discounts, and other suspicious patterns.
By bridging the gap between visual evidence and transaction data, operators get a clear, quantified view of where revenue is being lost — and can take action quickly.
Key Benefits
Automated Fraud Detection
The system uses AI to automatically identify suspicious transactions. Instead of manually reviewing hours of security footage, operators receive flagged incidents with video evidence already matched to the corresponding POS data.
Significant Cost Savings
Berry AI's loss prevention system can save operators up to $2,500 per month per location, broken down as:
- Fraud/refund sales loss savings — approximately $2,268/month recovered by catching suspicious refund activity.
- Video review time savings — approximately $288/month saved by reducing manual video review from 18 hours/month down to just 30 minutes/month.
Coverage Across All Service Channels
The system monitors both the dining room counter and drive-thru window, giving operators full visibility into loss across every service channel.
What the System Detects
Dining Room Refund Fraud
The system identifies suspicious refund activity at the counter by comparing POS refund transactions against camera footage. A standard verified refund shows a cashier processing a refund, collecting the money, and handing it to a customer. A suspicious refund is flagged when a refund is keyed into the POS but no customer is present at the counter — indicating potential fraud.
Drive-Thru Refund Fraud
The same detection applies at the drive-thru window. The system pairs video with transaction logs to flag refunds processed when no vehicle is present at the service window, helping operators stop revenue leakage at the drive-thru.
Employee Discount Abuse
The system monitors employee discount usage to differentiate between legitimate personal use and unauthorized application of discounts for regular customers. A verified transaction shows an employee using their discount and consuming the food themselves. A suspicious transaction is flagged when a discount code is applied but the food is handed to a non-employee customer.
How It Helps Operators
- Eliminate manual video review — AI handles the detection, so managers no longer need to spend hours scrubbing through footage.
- Quantify losses — Each flagged incident includes the dollar amount of the potential loss, giving operators a clear picture of financial impact.
- Foster accountability — Full visibility into discount usage and refund patterns encourages a culture of accountability among staff.
- Protect margins — Catch and address fraud patterns early before they become ongoing sources of revenue loss.
Ready to protect your profits with AI-powered loss prevention? Contact our sales team to get started.