Intelligent QR Code Redirects for Dynamic Landing Page Selection
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Solution Overview
Problem
Conventional QR codes are limited to associating with a single URL, failing to accommodate diverse consumer expectations and preferences, as each scan directs consumers to the same URL, lacking flexibility in guiding consumers to different destinations.
Innovation Solution
Implementing intelligent redirect QR codes that associate with a plurality of website variants, utilizing an AI model to select a target landing page from multiple options based on preconfigured algorithms and scanner behavior, allowing dynamic redirection to optimize user engagement and conversion rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a QR code is associated with a single URL, then the system is simple and easy to implement, but it cannot accommodate diverse consumer expectations and preferences
Solution Approach 1:
The patent applies universality by making a single QR code serve multiple functions - it can redirect to multiple different URLs depending on the scanner's characteristics. The QR code system becomes multi-functional by incorporating scanner identification capability and dynamic redirect logic, allowing one QR code to replace what would traditionally require multiple separate QR codes for different destinations
Solution Approach 2:
The patent applies dynamics by making the QR code redirect behavior adaptive rather than static. The system dynamically determines which URL to redirect to based on real-time scanner identification and matching against predefined rules. The redirect destination changes dynamically based on scanner characteristics such as device type, operating system, or browser, transforming a static QR code into a dynamic routing mechanism
2Productivity
If all consumers are directed to the same URL, then the implementation is straightforward, but user engagement and conversion rates cannot be optimized
Solution Approach 1:
The patent applies feedback by implementing a rule-matching system that evaluates scanner characteristics against predefined criteria and selects the appropriate redirect URL based on the best match. The system incorporates conversion tracking and analytics to monitor which redirect rules perform best, allowing for continuous optimization of the redirect logic based on actual user behavior and conversion data
Solution Approach 2:
The patent applies preliminary action by pre-configuring multiple redirect rules with specific criteria and priorities before deployment. The system pre-establishes the mapping between scanner characteristics and target URLs, so that when a scan occurs, the matching process can quickly determine the appropriate redirect without complex real-time decision-making. This pre-planning of redirect paths optimizes conversion by anticipating different scanner types
Data Source
AI summary
An intelligent redirect system for a quick response (“QR”) code derived unified resource location (“URL”). The system may include a plurality of website variants. Each website variant may present a landing page. Each landing page may correspond to the QR code. A backend server may receive the plurality of website variants from a user. A plurality of scans may be received from a plurality of scanners. A preconfigured algorithm may determine which website variant to direct to each of the plurality of scanners. A processor may derive scanner behavior for each website variant. An artificial intelligence (“AI”) model may build a new distribution pattern based on the scanner behavior. The new distribution pattern may be used to direct a website variant to the scanner.