Logistics Tracking Number Matching for Similar Channel Codes
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Solution Overview
Problem
Current logistics query systems face challenges in accurately identifying similar logistics tracking numbers across different channels, leading to inefficient and labor-intensive manual user interventions, especially for international logistics, and lack of standardized tracking numbers complicates automatic identification.
Innovation Solution
A method involving rule-based regular expressions and algorithms to calculate matching precision for logistics tracking numbers, combined with an automated email-based logistics query system to identify and track logistics progress, reducing manual input and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If regular matching rules are configured for logistics tracking numbers based on different logistics channels, then part of the logistics tracking numbers can be distinguished, but the identification accuracy for similar logistics tracking numbers cannot be further improved and the rule configuration becomes very complex and inconvenient to maintain
Solution Approach 1:
The patent replaces manual configuration and maintenance of complex regular matching rules with an automated image recognition system. The system captures screenshots of logistics tracking number displays, processes these images through recognition algorithms, and automatically extracts tracking numbers without requiring users to manually configure or maintain complex rule sets for different logistics channels.
Solution Approach 2:
The system enables self-service by automatically performing the entire logistics tracking number identification process. The screenshot processing and recognition system autonomously captures, processes, and identifies tracking numbers from displayed information, eliminating the need for users to manually specify logistics channels or configure matching rules.
2Reliability
If users manually specify the corresponding logistics channel for similar logistics tracking numbers that cannot be recognized, then identification can be achieved, but this operation method consumes a lot of time for the user
Solution Approach 1:
The system performs preliminary action by automatically capturing and processing logistics tracking number information before user intervention is needed. The screenshot capture and recognition processes occur in advance, extracting tracking numbers automatically so that users do not need to spend time manually specifying logistics channels or performing identification tasks.
Solution Approach 2:
The patent replaces manual user operations with automated image processing and recognition systems. The system automatically captures screenshots containing logistics tracking numbers, processes these images through recognition algorithms, and extracts the tracking numbers without requiring users to manually specify channels or perform time-consuming identification operations.
3Adaptability or versatility
If the logistics query system supports more logistics channels, then the system becomes more comprehensive, but the probability of similar logistics tracking numbers conflicting during query increases
Solution Approach 1:
The patent replaces manual configuration and maintenance of complex rule sets with automated image recognition technology. The system captures screenshots of logistics tracking numbers, processes them through recognition algorithms, and automatically extracts tracking numbers regardless of the number of supported logistics channels, maintaining high accuracy even as channel coverage expands.
Solution Approach 2:
The screenshot-based recognition system provides universal functionality that works across all logistics channels without requiring channel-specific rule configurations. The image processing and recognition system can identify tracking numbers from any logistics provider uniformly, eliminating the need for separate handling of similar tracking numbers from different channels.
Data Source
AI summary
Disclosed are a method for improving identification accuracy of similar logistics tracking numbers, and a logistics query system. The method includes: acquiring the logistics tracking number, calculating a length of the logistics tracking number, screening the logistics channel with a same length of the logistics tracking number from a rule library according to the length of the logistics tracking number, recording all the logistics channels with the same length and calculating number N of the logistics channels; performing preliminary identification of the logistics tracking number according to the number N, the preliminary identification of the logistics tracking number includes: when N=1, using the logistics channel as an identification result of the logistics tracking number; when N≥2, calculating matching precision of the logistics tracking number; and configuring the logistics channel with the highest matching precision value as an identification result of the logistics tracking number.