Case Study: Predicting Results With XBR Loss Prevention And Store Analytics
Source: MICROS-Retail
XBR Loss Prevention and Store Analytics to detect fraud is a common practice for retailers in the US and abroad. However, XBR is more than a tool for catching dishonest employees. Its powerful analytics capabilities can be used to evaluate non- POS data, revealing ways to save money and to identify areas for improvement. Submitted by MICROS Systems, Inc.
access the Case Study!
Log In
Get unlimited access to:
Trend and Thought Leadership Articles
Case Studies & White Papers
Extensive Product Database
Members-Only Premium Content
Welcome Back! Please Log In to Continue.
X
Enter your credentials below to log in. Not yet a member of Retail IT Insights? Subscribe today.
Subscribe to Retail IT Insights
X
Subscribe to Retail IT Insights
This website uses cookies to ensure you get the best experience on our website. Learn more