Mobile Device Pairing via Transactional Proximity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in determining relevant content to send to mobile device users in retail environments, leading to inefficient processing and memory usage due to the generation and transmission of non-relevant information, and fail to accurately identify associations between mobile devices across different service providers.
Innovation Solution
A method that monitors mobile device proximity to purchase locations using locationing technology, captures mobile device identifiers, and detects repeating patterns of device proximity to pair devices, allowing for targeted and relevant content delivery based on purchasing influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If mobile device users are sent general information content in retail environments, then information coverage is improved, but processor and memory requirements increase due to processing and storing non-relevant content
Solution Approach 1:
The system performs preliminary actions by detecting mobile device proximity patterns and identifying paired devices before information content is generated and sent. By pre-establishing device pairings through proximity detection at purchase locations, the system prepares targeted delivery lists in advance, ensuring that only relevant information is processed and transmitted to appropriate devices, thus reducing unnecessary processor and memory operations.
2Measurement precision
If mobile device proximity monitoring is implemented across multiple purchases, then device pairing accuracy is improved, but time and processing resources increase
Solution Approach 1:
The system applies partial action by monitoring mobile device proximity only at specific purchase locations rather than continuously throughout the entire retail environment. This selective monitoring approach captures sufficient data to identify paired devices with high accuracy while significantly reducing the time and processing resources required compared to comprehensive continuous monitoring.
3Device complexity
If all mobile devices receive the same information content, then system simplicity is maintained, but marketing efficiency decreases due to inability to target relevant information
Solution Approach 1:
The system implements local quality by differentiating information content delivery based on the specific characteristics of each mobile device pairing. Instead of uniform information distribution, the system analyzes proximity patterns to identify paired devices and sends tailored information content to each pair, enhancing marketing efficiency while maintaining manageable system complexity through automated detection and targeting.
Data Source
AI summary
At least one configured mobile device monitoring radius relative to respective purchase locations is established within a retail environment. Mobile device distances from purchase locations at times of purchases within the retail environment are monitored over time by a processor utilizing locationing technology. A repeating mobile device proximity pattern of at least two mobile device identifiers being located together and in proximity to the respective purchase locations at the times of the respective different purchases is detected across the several different purchases.