LPF Webinar: Using Data to Identify Extremely Subtle Internal Retail Fraud
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LPF Webinar: Using Data to Identify Extremely Subtle Internal Retail Fraud

 Export to Your Calendar 7/15/2020
When: July 15, 2020
1:00 pm, EDT
Where: United States

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Few things keep LP professionals up at night quite like internal retail fraud. Employees have insider knowledge of security procedures (and by extension, how to bypass them), as well as access to risky register functions and unprotected merchandise. This makes it remarkably challenging to identify and resolve cases of internal fraud.

That’s why numerous retailers are equipping their LP teams with data-analysis solutions like prescriptive analytics. They know that data cannot be manipulated, and that these solutions can identify even the subtlest data behaviors that indicate fraud, from a slight decrease in scanning rate during high-risk hours, to an unexpected increase in loyalty rewards. Join retail veterans J.R. Werner and Scott Pethuyne for this insightful discussion on several types of hard-to-catch retail fraud and how data can unveil them.

Our Distinguished Guests and Speakers:
J.R. Werner – Director of Sales (Americas) – Zebra Prescriptive Analytics
Scott Pethuyne – Customer Success Analyst – Zebra Prescriptive Analytics

As space for this educational and free webinar is limited, attendance is reserved for retail and CPG companies only.

At the end of the session, Zebra Prescriptive Analytics will also give away 5 free LPC Course Scholarship to random webinar attendees! Winners will be notified the day following the Webinar via email.

This webinar is presented by the Loss Prevention Foundation in partnership with Zebra Prescriptive Analytics and qualifies for 1 continuing education unit (CEU) towards your LPC recertification or CFI recertification.

By registering for this webinar, you submit your information to the Loss Prevention Foundation and principal partner Zebra Prescriptive Analytics who may use it to communicate with you regarding this event and other services.
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