Mobile Device Parameter-Based Assignment Selection for Field Users
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for monitoring product placement in retail stores are inefficient and lack continuous monitoring capabilities, leading to nonuniform compliance with product-related guidelines and gaps in dynamically changing displays.
Innovation Solution
The development of systems and methods that utilize image processing and sensors to capture, collect, and analyze images of products in retail stores, enabling automatic monitoring of product placement and triggering alerts for disparities between desired and actual placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring of product placement is used, then compliance can be checked, but efficiency is low and continuous monitoring is not achieved
Solution Approach 1:
The patent replaces manual mechanical monitoring with an automated image processing system. Cameras capture images of store shelves, and computer vision algorithms automatically analyze product placement compliance, eliminating the need for manual inspection and enabling continuous monitoring without time gaps.
Solution Approach 2:
The system enables self-service monitoring where the retail environment automatically captures and analyzes its own product placement data through deployed cameras and processing algorithms, without requiring external manual intervention for each compliance check.
2Productivity
If automated image processing is implemented, then monitoring efficiency improves, but device complexity increases
Solution Approach 1:
The patent employs a universal image processing platform that can monitor multiple product types, categories, and placement requirements across different store locations using the same camera and algorithm infrastructure, reducing overall system complexity despite the advanced capabilities.
Solution Approach 2:
The system uses digital copies (images) of physical product placements to analyze compliance, replacing the need for complex physical measurement devices. The image processing creates virtual representations of shelf arrangements that can be automatically compared against planned layouts.
Data Source
AI summary
A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for selecting available assignments for users based on mobile computing devices of the user. The method includes receiving an indication of at least one parameter of a mobile computing device associated with a user; accessing a plurality of available assignments, each assignment of the plurality of available assignments involving use of at least one mobile computing device; based on the at least one parameter of the mobile computing device associated with the user, selecting a subset of the plurality of available assignments; and offering the selected subset of the plurality of available assignments to the user.