Encrypted Transaction Segmentation for Service Assessment Tracking
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Solution Overview
Problem
Users face negative experiences and increased return rates due to lack of physical interaction with content before receipt, leading to undefined service assessments and risks in online transactions, as conventional systems fail to track specific service assessments or distinguish between types of assessments.
Innovation Solution
A system that generates recommendations by delineating and recording additional information such as content identifiers in encrypted records, querying sources for communication amounts, and determining content return values to provide protection plans for users, using metrics based on varying criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional electronic payment and banking systems encrypt and record only transaction amounts, then data privacy and security are maintained, but the ability to track particular service assessments and distinguish between types of service assessments is lost
Solution Approach 1:
The patent segments transaction data into multiple encrypted fields, including separate fields for transaction amounts and service assessments. Each field is encrypted independently using the same encryption key, allowing the system to maintain data security while preserving the ability to retrieve and analyze specific service assessment information without exposing the entire transaction record.
2Device complexity
If conventional systems record only aggregated transaction amounts, then system complexity is reduced, but the ability to determine content return values and provide targeted recommendations is impaired
Solution Approach 1:
The system segments transaction records into distinct encrypted fields for different service assessments (delivery service assessments, mail service assessments, credit card transaction service assessments, etc.). This allows the system to maintain relatively simple architecture while enabling precise determination of content return values by retrieving and analyzing specific service assessment fields without processing entire transaction aggregates.
3Speed
If users receive content without physical interaction opportunity, then delivery speed is improved, but user experience deteriorates and return rates increase
Solution Approach 1:
The system performs preliminary actions by collecting service assessment data during the initial transaction and delivery process, encrypting and storing this information for future analysis. This allows the system to later generate recommendations that can prevent future returns, effectively addressing the user experience issue without compromising the initial fast delivery speed.
4Productivity
If data aggregation services monitor and facilitate exchanges between users and sources, then transaction facilitation is improved, but the ability to track and analyze specific service assessments is lost due to encryption
Solution Approach 1:
The data aggregation service segments monitored transaction data into separate encrypted fields for different service assessments. This segmentation allows the service to continue facilitating transactions efficiently while preserving the ability to retrieve and analyze specific service assessment information (delivery assessments, mail assessments, transaction assessments) without requiring decryption of the entire transaction record.
Data Source
AI summary
Methods and systems are described for generating recommendations based on non-delineated records collected by a data aggregation service during communications between users and content sources. For example, based on collecting records on exchanges between users and content sources that is traditionally neither stored nor identified by either party, a data aggregation service may generate recommendations related to future exchanges of content between the same or different users and/or the same or different content sources.