Loyalty-Based Access Token Generation for WiFi Resource Allocation
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Solution Overview
Problem
In emerging markets dominated by pre-paid cell phone services and 'sim-switching,' traditional methods of accessing WiFi services are inadequate, as they rely solely on SIM-card ownership, failing to differentiate between loyal and non-loyal customers and not efficiently manage network resources.
Innovation Solution
A method and system that assess user loyalty and context to generate a unique access token, determining usage levels and optimizing access by considering loyalty data, predicted usage, group affiliations, and contextual factors, ensuring validation for one-time access to WiFi networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional SIM-card based access methods are used, then ease of operation is improved, but the ability to differentiate between loyal and non-loyal customers deteriorates
Solution Approach 1:
The patent segments customers into different loyalty tiers (e.g., bronze, silver, gold members) based on their usage patterns and spending history. Each tier receives different levels of WiFi access privileges, allowing the system to differentiate between loyal and non-loyal customers while maintaining simple SIM-based authentication. The segmentation is achieved by analyzing customer data and assigning loyalty scores that determine access levels.
2Adaptability or versatility
If automated loyalty assessment is implemented, then customer differentiation is improved, but device complexity increases
Solution Approach 1:
The system automatically assesses customer loyalty by analyzing existing usage data, spending patterns, and customer behavior without requiring manual intervention. The automated loyalty assessment engine processes customer information from the SIM card and network usage records to generate loyalty scores and assign tiers automatically. This self-service approach enables sophisticated customer differentiation while minimizing the need for complex manual configuration and reducing operational overhead.
3Productivity
If usage level limits are imposed based on loyalty data, then network resource optimization is improved, but ease of operation deteriorates
Solution Approach 1:
The system pre-calculates and stores usage level limits for each customer based on their loyalty assessment before they attempt to access the WiFi network. When a customer connects, the system automatically retrieves their pre-determined usage limits from the database and applies them without requiring real-time calculations or user input. This preliminary action ensures optimal network resource allocation while maintaining a seamless, simple access process for users.
Data Source
AI summary
Herein are methods and systems for automated assessment of user devices and associated data, and granting access to wireless networks based on the assessment. For example, the systems and methods assess a user request for access to a wireless network at an access point, and automatically determine the type of access to be granted based on at least a loyalty score associated with the user. The automatic assessment can be used to encourage customer loyalty as well as to manage limited network resources.