Venue Gateway Tracking for Guest Loyalty and Travel Mapping
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Solution Overview
Problem
Hotels lack the ability to analyze guests' travel patterns and preferences effectively, limiting their capacity to provide personalized services and target frequent travelers, as existing network management systems only collect limited data and do not allow for real-time analysis of location, loyalty, and visitation patterns.
Innovation Solution
A guest monitoring system that tracks internet access from devices through network management portals, collecting data on device identifiers, user attributes, and connection data to generate travel maps, loyalty metrics, and predict next destinations, enabling hotels to offer personalized treatment and targeted marketing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If hotels use basic network management systems for internet access authorization, then guests can access the internet, but hotels cannot analyze guest travel patterns and preferences
Solution Approach 1:
The patent combines the network management system with analytics capabilities by integrating data collection from TCP handshakes, HTTP requests, and guest profiles into a unified system that tracks travel patterns, preferences, and behaviors while maintaining basic internet authorization functionality
Solution Approach 2:
The patent introduces an intermediary analytics layer that sits between the network management system and the data sources, capturing and analyzing guest information from network traffic without disrupting the existing internet access authorization process
2Adaptability or versatility
If hotels implement comprehensive guest tracking to identify frequent travelers, then personalized services can be provided, but system complexity and data processing requirements increase
Solution Approach 1:
The patent performs preliminary data collection and analysis by capturing TCP handshake information, HTTP request data, and guest profile information in advance, processing this data to identify travel patterns and preferences before personalized services are needed, thereby reducing real-time processing complexity
Solution Approach 2:
The system automatically collects, processes, and analyzes guest data without requiring manual intervention, using algorithms to identify frequent travelers, travel patterns, and preferences autonomously, reducing operational complexity while enhancing personalized service capabilities
3Loss of information
If hotels collect detailed user data including device identifiers and communication patterns, then travel analytics can be generated, but data privacy and security concerns increase
Solution Approach 1:
The patent extracts only the necessary data elements needed for travel pattern analysis (device identifiers, connection timestamps, location information) while excluding sensitive personal information, separating useful analytical data from privacy-sensitive data to minimize privacy risks while maintaining analytics capability
Data Source
AI summary
Systems and methods described herein may include a memory and a computing a system in communication with said memory. The computing system may be configured to receive data from network management systems. In one embodiment, the network management system includes a network gateway. Users at venues may access external network resources using the network management system. Further, the network management systems may extract device identifiers from network packets sent from user devices to request access to external network resources. In some embodiments, the network management system may provide transmission control protocol handshake completion data to user devices. In some embodiments, the computing system also receives one or more attributes associated with the venue, user data associated with the user device, and connection data associated with communication between the user device and said external network resource.