Opaque Transaction System Selective User Group Unlocking
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Solution Overview
Problem
In opaque transactions for travel items, sellers face inefficiencies as server computers send excessive information to user computers that have previously completed transactions, wasting network bandwidth and CPU resources, and cannot effectively recognize or reward repeat buyers.
Innovation Solution
Implementing a system that dynamically identifies metadata attributes to define closed user groups, allowing selective disclosure of enhanced information to eligible users, thereby reducing data transmission and improving transaction efficiency without breaching contractual terms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fully opaque transactions are provided to all users, then contractual opacity is maintained and sellers cannot recognize repeat buyers, but network bandwidth is wasted and CPU resources are consumed excessively when sending complete transaction information to users who have previously completed transactions
Solution Approach 1:
The system applies different information disclosure levels to different user groups. For repeat buyers (identified through metadata attributes like previous transaction history), the system provides reduced information sets that maintain contractual opacity while enabling recognition and rewards. For new users, full opaque transaction information is provided. This local differentiation resolves the contradiction by tailoring information transmission to user type rather than applying uniform treatment.
Solution Approach 2:
The user base is segmented into different groups based on metadata attributes, specifically identifying repeat buyers versus new users. The system then applies different information transmission strategies to each segment: reduced information for repeat buyers to enable recognition and rewards, and full information for new users to maintain contractual opacity. This segmentation allows the system to optimize resource usage while maintaining business objectives.
2Reliability
If fully opaque transactions are provided to all users, then contractual opacity is maintained, but sellers cannot recognize or reward certain buyers who have previously purchased travel items
Solution Approach 1:
The system provides different information disclosure levels to different user groups. For repeat buyers (identified through metadata attributes like previous transaction history), the system provides reduced information sets that maintain contractual opacity while enabling recognition and rewards. For new users, full opaque transaction information is provided. This local differentiation resolves the contradiction by tailoring information transmission to user type rather than applying uniform treatment.
Solution Approach 2:
The system dynamically adjusts the level of information disclosure based on user characteristics and transaction history. By continuously monitoring metadata attributes and updating user profiles, the system can adapt its information transmission strategy in real-time, providing reduced information to recognized repeat buyers while maintaining full opacity for new users or when contractual requirements demand it.
3Loss of information
If server computers send complete transaction information to user computers, then users receive full transaction details, but network bandwidth is wasted and more CPU cycles and memory allocation are necessary
Solution Approach 1:
The system applies different information disclosure levels to different user groups. For repeat buyers (identified through metadata attributes like previous transaction history), the system provides reduced information sets that maintain contractual opacity while enabling recognition and rewards. For new users, full opaque transaction information is provided. This local differentiation resolves the contradiction by tailoring information transmission to user type rather than applying uniform treatment.
Solution Approach 2:
The system extracts only the necessary information to complete a transaction for repeat buyers, omitting redundant details that would be sent in full opaque transactions. By identifying repeat buyers through metadata and providing customized reduced information sets, the system removes unnecessary data transmission while maintaining sufficient information for transaction completion, thereby reducing network bandwidth and CPU resource consumption.
Data Source
AI summary
Methods, computer systems, and stored instructions are provided for improving opaque transactions where the identity of the seller is not revealed to the user until after the user purchases an item from the seller. In response to a conditional purchase offer received from the user, a subset of travel items are selected. An eligibility of the user for enhanced information such as a discounted price and/or an identity of at least one of the sellers of the subset of travel items is determined. Based on the eligibility of the user, the user is matched to one or more pieces of enhanced information. A user interface including an enhanced description of a travel item and a limited description of remaining travel items is provided. In response to a user selection of a travel item, a purchase transaction is completed between the user and the seller of the selected travel item.