Serial Code Verification for Fraudulent Return Prevention
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Solution Overview
Problem
Current product transaction systems fail to effectively prevent misuse of return policies and the sale of counterfeit products, leading to revenue loss for retailers due to improper or fraudulent returns.
Innovation Solution
A method that compares product-identifying serial codes and user identifications during transactions, using a database to track unique codes and prevent unauthorized returns and sales by alerting administrators to discrepancies, with additional security measures like timestamps, stock keeping unit codes, and tamper-evident stickers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If product-identifying serial codes are captured and compared during transactions, then fraudulent returns and counterfeit sales are prevented, but system complexity and implementation cost increase
Solution Approach 1:
The system divides the transaction verification process into distinct segments: code capture at listing, code storage in database, and code comparison at return. Each segment handles a specific aspect of verification, making the overall complex system manageable through modular organization of functions across different system components.
Solution Approach 2:
A database serves as an intermediary component that stores the relationship between serial codes and user identifications. This intermediary allows the system to compare codes without requiring direct complex logic between the listing and return processes, simplifying the overall system architecture while maintaining security.
2Measurement precision
If multiple comparison parameters are used (serial code, timestamp, SKU), then detection accuracy of fraudulent returns improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by capturing and storing the serial code, user identification, timestamp, and SKU information at the time of product listing. This pre-processing allows the return verification to proceed quickly by simply comparing against pre-stored data, reducing processing time while maintaining high detection accuracy through multiple comparison parameters.
Data Source
AI summary
A process for protecting against fraudulent transactions entails comparing a first serial code with a second serial code, as well as comparing a first user identification with a second user identification. An additional comparison between a first stock keeping unit code and a second stock keeping unit code can also be made. If any of the compared data items do not match, then a notice of denial is issued for the transaction. Exceptions can be made, for example by comparing a first listing timestamp with a second listing timestamp to determine that a second transaction is occurring within a defined time period such as a return period. Data is recognized by an optical reader utilizing optical character recognition, with read data being saved to a data record. Serial codes can be directly printed on products or instead applied as a tamper evident sticker.