Profitect to Present at University of Indianapolis Loss Prevention Seminar
CEO Guy Yehiav to Discuss How to Leverage Prescriptive Analytics to Reduce Shrink, Increase Sales, and Drive Faster Case Resolutions
BURLINGTON, MA – March 11, 2019 – Profitect Inc., the leading prescriptive analytics provider for the retail and CPG industries, today announced that in partnership with the Loss Prevention (LP) Foundation, Profitect CEO Guy Yehiav will be a keynote speaker at the organization’s first LP Education Day held at the University of Indianapolis. The one-day event will teach college students the challenges and aspects to being in LP, with a focus on the value of prescriptive analytics to deliver results.
Yehiav’s session, titled “Analytics, Big Data, Exception Reporting and Prescriptive Analytics” will focus on how organizations can use machine learning and artificial intelligence to analyze and interpret data to identify any behavior anomalies, and take action. Yehiav’s session will educate students how prescriptive analytics can be leveraged to reduce shrink, increase sales, and lead to faster case-resolution rates.
The University of Indianapolis and the LP Foundation are dedicated to the LP industry and the opportunities it affords. The seminar will help students understand the importance of asset protection, professional development strategies, and security techniques including crisis management, cyber crime defense, and intelligent CCTV systems.
- University of Indianapolis Loss Prevention Seminar
- University of Indianapolis, 1400 East Hanna Avenue, Indianapolis, Indiana
- Tuesday, March 12, from 9:00 a.m. to 4:00 p.m.
- Session: “Analytics, Big Data, Exception Reporting and Prescriptive Analytics”
- Guy Yehiav, CEO, Profitect
- 10 a.m. to 10:45 a.m. ET
To learn more about Profitect and prescriptive analytics, visit here. To follow along with the Profitect team, including insights from the show, connect with Profitect on LinkedIn, or follow us on Twitter at @Profitect.
Profitect’s prescriptive analytics solution leverages pattern detection and machine learning to identify opportunities that impact sales and margin. Profitect takes retail and CPG company data to identify areas for improvement including: inventory accuracy, out of stocks, pricing accuracy, unsellable merchandise, and assortment discrepancies. Profitect customers typically realize a 2-5% increase in sales, better consumer experience, 10-15% basis point margin improvement, and labor productivity improvement within 6 months. To learn more about Profitect visit: www.profitect.com or follow the company on Twitter and LinkedIn.