Automated Payment Card Complaint Processing via Database Screening
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Solution Overview
Problem
Current methods for handling payment card complaints under international risk control mechanisms are inefficient due to the need for multiple manual communications, leading to prolonged complaint resolution times and low efficiency.
Innovation Solution
A method and device that automatically query a transaction database using user information to identify and generate complaint voucher information for the target payment card, enabling automated complaint task creation, thereby reducing manual intervention and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual communication methods are used to acquire the target payment card from high-risk cards, then the card information can be obtained, but the complaint handling time is prolonged and efficiency is reduced
Solution Approach 1:
The system automatically queries the transaction database and screens high-risk cards using predefined criteria without requiring manual user input. The user simply initiates a complaint request, and the system self-service completes the card identification process by automatically matching transaction records with risk control data, eliminating the need for back-and-forth communication to obtain card information.
Solution Approach 2:
The system pre-identifies and flags high-risk cards in advance by querying the transaction database and applying risk control criteria before the complaint process begins. This preliminary screening of cards allows the system to present only relevant high-risk cards to the user, rather than requiring manual communication to identify which card to complain about.
2Reliability
If manual communication is used to urge users to submit the target payment card, then the correct card can be identified, but the complaint handling efficiency is low
Solution Approach 1:
The manual communication process is replaced with an automated information processing system. The system uses database queries and algorithmic screening to automatically identify high-risk cards based on transaction data, replacing the mechanical process of manual communication and card verification with an automated digital system that maintains accuracy while dramatically improving efficiency.
Solution Approach 2:
The transaction database serves as an intermediary between the user's complaint request and the risk control system. Instead of direct manual communication between support staff and users, the database automatically provides the necessary card information by matching user identifiers with transaction records, acting as a mediator that delivers accurate card identification without human intervention.
3Productivity
If the system queries the transaction database automatically to identify target payment cards, then the complaint handling time is shortened and efficiency is improved, but the system complexity increases
Solution Approach 1:
The transaction database serves multiple functions: it stores transaction records, identifies high-risk cards through risk control criteria, and provides card information for complaint processing. By making the database multi-functional, the system avoids adding separate dedicated systems for each function, thereby improving efficiency without proportionally increasing complexity.
Solution Approach 2:
The system merges the card identification function with the existing transaction database and risk control mechanisms. Instead of creating a separate automated card identification system, the patent combines multiple existing functions (transaction storage, risk assessment, and card verification) into a unified automated process, reducing overall system complexity while improving complaint handling efficiency.
Data Source
AI summary
A method for processing payment complaint includes receiving, from a user terminal, a complaint query request of a user; querying, in response to the complaint query request, a transaction database according to user information of the user to acquire at least one target payment card corresponding to the payment complaint of the user; generating, according to the user information and the at least one target payment card, complaint voucher information of the user and returning to the user terminal the complaint voucher information; receiving a complaint creation request from the user terminal, wherein the complaint creation request is created by the user terminal based on the complaint voucher information; and creating, in response to the complaint creation request, a corresponding complaint task of the user.


