Shoplifting losses account for
2-4%
of retail
revenues
of retail
revenues
and cost a total of tens of millions
USD per year.
USD per year.
-
by retailer owner and managers -
by personnel -
consumers in terms of higher priced goods
Shoplifting costs retailers a great deal of money and is paid for:
SOLUTION:
SHOPLIFTER PREDICTION
SHOPLIFTER PREDICTION
The behavior of an ordinary customer and a shoplifter is different: moving around the sales floor, actions and its' nature.
We've processed thousands of videos with shoplifting incidents to find distinctive patterns, distinguishing behavior of a shoplifter from an ordinary shopper.
Shoplifter Prediction,
using predictive video analytics and mathematical modeling algorithms, identifies a potential shoplifter in real time, transfers the information to a store employee and helps prevent theft.
How
Shoplifter Prediction
works
Shoplifter Prediction
works
-
Real-time video stream from the store cameras -
Software analysis of visitor behavior on the server -
Information about a potential shoplifter is displayed in the web interface and mobile app
SHOPLIFTER PREDICTION
safely increases the efficiency of your business
safely increases the efficiency of your business
Reducing shoplifting losses
and security costs in stores
and security costs in stores
Preventing theft and
dangerous situations in stores
dangerous situations in stores
Integration with your video
surveillance system
surveillance system
You provide us with video from your store, we analyze it and assess what
losses you might have avoided.
losses you might have avoided.