Transactional Platform Using Anonymous Personas and Intermediary Verification
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Solution Overview
Problem
There is a need for platforms and networks that efficiently facilitate the offering, providing, selling, and purchasing of services, content, and time, with existing solutions lacking in secure, private, and monetizable transactional capabilities.
Innovation Solution
A transactional platform that enables providers to offer services or content and sell time to consumers through a server-based system, matching users, calculating market prices based on demand, and facilitating payments, while ensuring secure and private communications, and allowing for monetization of time through a tiered pricing system and anonymous personas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a transactional platform enables secure and private communications with anonymous personas, then user privacy and anonymity are improved, but the ability to verify user identity and ensure transaction reliability deteriorates
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between anonymous users. The platform uses cryptographic protocols and trusted third-party verification mechanisms to ensure transaction reliability without compromising user anonymity. The intermediary validates user identities privately and certifies transactions, allowing anonymous personas to engage in reliable transactions while maintaining privacy protection.
Solution Approach 2:
The patent segments user identity into multiple layers: public persona information visible to others, private identity information kept secret, and verified attributes stored securely. This segmentation allows the platform to verify necessary transaction-related attributes while keeping personal identity information private, resolving the contradiction between anonymity and reliability.
2Productivity
If the platform calculates market price based on demand metrics, then pricing efficiency and resource allocation are improved, but system complexity increases
Solution Approach 1:
The patent implements self-service pricing mechanisms where the system automatically calculates market prices based on real-time demand metrics, supply availability, and historical data. The automated pricing algorithm adjusts prices dynamically without manual intervention, improving pricing efficiency while the modular architecture keeps system complexity manageable through standardized pricing modules.
Solution Approach 2:
The patent uses parameter changes in demand metrics (such as demand intensity, user engagement levels, and transaction volume) to dynamically adjust market prices. By monitoring and responding to changes in these parameters, the system achieves efficient pricing allocation while maintaining manageable complexity through focused parameter tracking rather than comprehensive system overhauls.
3Speed
If the platform facilitates real-time matching of providers and consumers, then transaction speed is improved, but computational resources and system complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-processing and indexing provider and consumer profiles, services, and preferences before actual transactions occur. The system pre-categorizes users and services, pre-calculates compatibility metrics, and maintains ready-to-use matching algorithms. This preliminary preparation enables rapid real-time matching when transactions are initiated, improving transaction speed while keeping the matching system complexity manageable through advance organization.
4Adaptability or versatility
If the platform enables tiered pricing system for monetization of time, then revenue generation capability is improved, but pricing fairness and user acceptance may deteriorate
Solution Approach 1:
The patent implements local quality in tiered pricing by allowing different pricing structures for different service types, user categories, and time periods. Rather than applying uniform pricing rules, the system tailors pricing to local conditions - differentiating between premium and standard services, offering discounts for off-peak times, and adjusting rates based on provider expertise levels. This localized pricing approach maintains fairness by matching price with service quality while preserving monetization versatility.
Data Source
AI summary
The present invention provides, among other aspects, methods, systems, devices and software products (computer program products) for creating and maintaining a transactional platform and network for offering, providing, selling and purchasing services, content and time.