Combining Registry and In-Game Data for Release Logistics
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Solution Overview
Problem
Current online gaming platforms lack an efficient system to combine permanent registry information and in-game activity data for determining optimal release logistics of unique digital articles, such as virtual items and NFTs, which affects sales strategies and player engagement.
Innovation Solution
A system and method that integrate permanent registry information with in-game activity metrics to determine release parameters, including pricing, availability, and promotional strategies, using blockchain technology to record and analyze ownership rights and player interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If online gaming platforms use distributed registries to record ownership rights and in-game activity, then the reliability and security of asset records are improved, but the complexity of the system increases
Solution Approach 1:
The patent introduces a third-party analytics service as an intermediary that connects the gaming platform and distributed registry. This service aggregates data from both sources and provides release logistics recommendations, mediating the complexity between the security benefits of distributed registries and the need for data processing capabilities.
Solution Approach 2:
The system segments the complex data processing task into separate functional components: the distributed registry handles secure recording of ownership rights, the gaming platform monitors in-game activity, and the analytics service processes combined data to generate recommendations. This segmentation allows each component to focus on its specific function while maintaining overall system reliability.
2Measurement precision
If the system combines permanent registry information and in-game activity information to determine release logistics, then the precision of release parameter determination is improved, but the amount of information processing and system complexity increases
Solution Approach 1:
The system implements feedback loops where the analytics service continuously monitors registry transactions and in-game activity, processes this information to generate release logistics recommendations, and feeds these recommendations back to the gaming platform. This feedback mechanism enables iterative refinement of release parameters based on real-time data, improving measurement precision while managing information processing through automated cycles.
Solution Approach 2:
The system performs preliminary analysis of registry and in-game data to identify trends and patterns before final release logistics are determined. By conducting preliminary actions such as aggregating historical data and predicting player behavior, the system reduces the information processing load during actual release decision-making while maintaining high precision in release parameter determination.
3Adaptability or versatility
If the system monitors and analyzes player behavior and ownership metrics to tailor releases, then the adaptability of release strategies is improved, but the time required for data collection and analysis increases
Solution Approach 1:
The analytics service operates continuously, constantly monitoring registry transactions and in-game activity without interruption. This continuous data collection enables the system to maintain adaptability in release strategies by having always-up-to-date information about player behavior and ownership patterns, while reducing the time needed for analysis by eliminating gaps in data collection.
Solution Approach 2:
The system performs preliminary data collection and analysis in advance, continuously gathering player behavior and ownership metrics before specific release decisions are needed. This preliminary action builds a reservoir of processed information that can be quickly queried and applied to new release scenarios, maintaining adaptability while minimizing real-time analysis time.
Data Source
AI summary
Systems and methods to combine permanent registry information and in-game activity information to determine release logistics, based on information recorded on permanent registries, are disclosed. Exemplary implementations may execute instances of a game; manage player accounts associated with the players; monitor a first set of in-game action instructions for a first set of in-game actions by the players; determine values for in-game action metrics based on the monitored first set of in-game action instructions; monitor recorded information on one or more permanent registries; determine values for registry metrics based on the monitored recorded information; determine one or more release parameters based on a combination of at least one value of an in-game action metric and at least one value of a registry metric.