Graphical Assisted Location Deployment of Store Employees Based on Shopper Interaction with Store Product
Publication Date: 2019-Feb-19
Publishing Venue
The IP.com Prior Art Database
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The IP.com Prior Art Database
Copyright 2019 Toshiba Global Commerce Solutions, Inc.
United States
English (United States)
Graphical assisted location deployment of store employees based on shopper interaction with store product
Abstract
A dynamic way to identify in real time which aisles need more attention than others based on interaction of shoppers’ mobile devices with store products.
Background
Currently retailers are trying to identify best ways to monitor in store thefts and are placing great emphasis on loss prevention. While currently there exist many solutions where stores periodically monitor different aisles, desired is a way to more accurately monitor aisles for loss prevention. This disclosure aims at proposing a solution, a dynamic way to identify in real time which aisles need more attention than others based on the interaction of shoppers’ mobile devices with store products.
This identification of useful information is presented graphically (plausibly as heat maps) to the shopper assistants using personal devices (mobile terminals, tablets, smart watches etc.) which lead them to coordinate their efforts toward increasing security/scrutiny around the aisles where high activity is detected.
Description
The core idea and main claims of this solution include:
We are proposing a solution that lets stores track the number of items being handled suspiciously. This means the number of items being held within a store region are compared against the number of items being scanned and added to orders within that same region. If the numbers are off, alerts can be triggered. As the number of "handles per second" is detected to be increasing, the info is presented in real-time to shopper assistants via map....