Venue Machine-Readable Codes for Personalized Mobile Wallet Offers
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Solution Overview
Problem
Existing systems for delivering content through machine-readable codes lack the ability to provide individualized content offerings on a per-code basis, failing to utilize unique identifiers to tailor content to specific users based on various data points.
Innovation Solution
A system that utilizes unique machine-readable codes (MRCs) encoding addresses to direct user devices to a server, which collects user data and delivers customized content based on seat location, past interactions, and other data sources, allowing real-time content modification and personalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If identical machine-readable codes are used for all users, then system simplicity is maintained, but individualized content delivery cannot be achieved
Solution Approach 1:
The patent segments the content delivery system by assigning unique machine-readable codes to individual seats, sections, or users rather than using identical codes for all. This segmentation enables the system to distinguish between different users and deliver personalized content while maintaining a relatively simple code structure that can be scanned using existing mobile devices.
Solution Approach 2:
The patent implements local quality by making each machine-readable code unique to its specific location (seat, section, or user), allowing the system to provide location-specific and user-specific content. This approach enables personalized offers and content delivery tailored to each user's position and preferences without requiring complete system redesign.
2Loss of information
If user data collection is implemented for personalization, then content relevance improves, but privacy concerns and data security requirements increase
Solution Approach 1:
The patent implements self-service by allowing users to voluntarily scan their unique machine-readable codes and opt-in to receive personalized content and offers. Users have control over their own data collection by initiating the scan process themselves, which reduces privacy concerns while enabling the system to gather preference information for personalized content delivery.
Solution Approach 2:
The patent uses feedback mechanisms where user responses to personalized content and offers are collected and used to refine future content delivery. This feedback loop improves content relevance and accuracy of user preference profiling while maintaining privacy by processing data through secure server-based systems that can anonymize or aggregate user information.
3Productivity
If real-time content modification is implemented, then user engagement increases, but system processing requirements and energy consumption increase
Solution Approach 1:
The patent applies preliminary action by pre-processing and segmenting content into different categories and formats before users arrive. When users scan their unique codes, the system quickly retrieves and delivers pre-prepared personalized content rather than generating everything in real-time, reducing processing energy requirements while maintaining fast content delivery speed and high user engagement.
Data Source
AI summary
A system for displaying customized mobile content to users at a venue via a user device, includes a server system in conjunction with a plurality of machine-readable codes mounted within the venue. The server system performs the following steps: providing mobile content in a database; collecting user data associated with the user; receiving a request from one of the user devices, the request being generated by scanning one of the machine-readable codes with the user device; determining the user data associated with the user who scanned the machine-readable code; selecting, based upon the user data, customized mobile content from the mobile content in the database; and providing the customized mobile content to the user device.