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Exception Based Video Analytics Panda Restaurant Group Executive Director Loss Prevention Lyle Forcum Automated Analytics

Exception Based Video Analytics Panda Restaurant Group Executive Director Loss Prevention

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Automated Analytics. Exception Based Video Analytics Panda Restaurant Group Executive Director Loss Prevention Lyle Forcum. Panda Express. Exception Based Reporting Software Identifies Abnormalities at your Point of Sales Easy drill down process Single click CCTV review of occurrence - PowerPoint PPT Presentation

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Page 1: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

Exception Based Video Analytics

Panda Restaurant GroupExecutive Director Loss Prevention

Lyle Forcum

Automated Analytics

Page 2: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

•Exception Based Reporting Software•Identifies Abnormalities at your Point of Sales•Easy drill down process•Single click CCTV review of occurrence•GM completes follow-up action as needed

Panda Express

Page 3: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

•Training material and workshop was developed, with intro and closing messages from our company owners and COO•Every student had a hands on section of training to view their own store’s data and experience the tool first hand•Area Managers received their own version of training to help them utilize the area wide trends portion of this tool•Managers were tested with questions regarding their own store’s findings to ensure all users are proficient in using this tool within their own stores.•GMs are accountable for completing necessaryfollow-up for exceptions occurring in their store, viewable by Area Managers and AP Team

Software Release

Page 4: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

Results

Direct BenefitsAP Team has been pinpointing and investigating “Suspicious Activities” more effectively since using this POS Exception software as one of our main KPIs. • 2012: 8% of audits led to significant findings • 2013: 18% of audits led to significant findings• AP team has found theft findings in over 50% of the

Regions visited since software rollout.

Indirect Benefits

There are significant decreases in all Cash Exceptions areaCash Pull Compliance - Drawer Amount > $700.00 has decreased by 16%• Less Cash in Drawer = Lower robbery risk and lower robbery take

Voids and Deletes have significantly decreased since DelaGet rolloutEmployee Meal violations have decreased 60%

Page 5: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

Next Steps

•Integration with other service vendors and current reporting to monitor areas such as: Drive-Thru, Inventory, Access Controls

Looking Ahead

Page 6: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

CCTV System•Alarm Integration•Off-site command center•Crime level/Camera Packages•Expandability/Voicedown•Standard Camera Views•30+ Days retention

Current CCTV System

Page 7: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

Entrances/Exits:

Cash Handling Areas:

Drive-Thru:

Front, Side, Service Doors

ORIGINAL VIEWSDoor Frame Cam

POS, DT POS, POS STM TBL

Fish Eye DT Eye Level Cam

Front, Side, Service Doors

Confirmation Board CamVarifocalDT Window, Lic. Plate Cam

UPDATED VIEWS FUTURE VIEWS

Panda’s Standard Camera Views

Page 8: Exception Based  Video Analytics Panda Restaurant Group Executive Director Loss Prevention

Video Analytics at PandaFounder challenged AP w/ providing 30 minutes of meaningful video a day

Automatically analyze video to detect events Record specific events based on criteria

Future of Video Analytics at PandaEnrolling others in the importance of CCTV, we will be able to increase bandwidth to T1 lines, increase hard drive space and improve Quality and Clarity of

cameras Marketing - Improve guest’s experience HR and Operations – Time Card Management Risk Management – Safety Monitoring Quality Assurance and Quality Control Facilities – Vendor Monitoring

Next Steps: Use of Video Analytics