Computer system for providing payments, incentives, and fraud protection within or across industries
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Solution Overview
Problem
Existing systems face challenges in managing communication and transactions between enterprise networks of different industries, especially when they have distinct configurations and protocols, and struggle to provide incentives and fraud protection across these networks efficiently.
Innovation Solution
A centralized platform provider system with a secure ledger, such as a private blockchain, manages and validates information from multiple enterprise networks, facilitating transactions, incentives, and fraud protection by identifying incentives, calculating fees, and assessing fraud probabilities using AI and machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If enterprise networks communicate directly with each other, then communication between networks is established, but management difficulty increases especially when networks differ in design and configuration
Solution Approach 1:
The patent introduces a centralized platform provider as an intermediary between enterprise networks. This platform receives information from multiple enterprise networks, validates it against a master data model, and facilitates interactions. The intermediary abstracts the complexity of direct network-to-network communication, allowing networks with different designs to communicate through standardized interfaces without requiring direct integration between each pair of networks.
2Loss of information
If direct communication between enterprise networks is implemented, then transaction tracking is enabled, but tracking complexity increases across different networks
Solution Approach 1:
The centralized platform provider acts as a tracking intermediary that receives information from enterprise networks, validates it against a master data model, and maintains a unified view of transactions. This intermediary consolidates tracking responsibilities, reducing the complexity that would arise from each network independently tracking transactions across multiple networks.
Solution Approach 2:
The platform provider implements a universal information validation approach using a master data model that can handle information from multiple different enterprise networks. This universal model provides a common framework for tracking transactions across diverse networks, eliminating the need for network-specific tracking implementations.
3Reliability
If centralized platform validation is implemented, then information accuracy is improved through master data model validation, but processing time increases
Solution Approach 1:
The system performs preliminary validation of information against the master data model at the platform level before transactions are processed across networks. By validating information upfront using predefined schemas and business rules, the system ensures accuracy while enabling faster subsequent processing, as the validation logic is prepared in advance rather than computed in real-time during transactions.
Data Source
AI summary
A network includes a platform provider having a centralized operating environment including a combination of hardware, software, and a communication device configured to receive information from a plurality of enterprise networks each configured to independently communicate information to the platform provider. The information includes customer information, device information, requested enrollment or application information, requested transaction information, completed enrollment or application information, or completed transaction information, or a combination thereof. The platform provider is configured to validate and record the information in a secure ledger. The platform provider is further configured to, based on the information, identify incentives, advertisements, or other communications to provide a customer, deliver incentives, advertisements, or other communications to a customer, calculate a fee owed by one enterprise network to one of the platform provider, another enterprise network, or a customer, or assess a probability that a requested consumer, device, enrollment, application, or transaction is fraudulent.