Pharmaceutical Shipment Data Aggregation for Real-Time Supply Status
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Solution Overview
Problem
Existing systems fail to comprehensively provide real-time information on the shipment volume and response status of pharmaceutical products to users.
Innovation Solution
A computer-based method and system that automatically collects, registers, and outputs shipment volume and manufacturer response status information from multiple websites, utilizing a database for searchability and providing substitute pharmaceutical information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing pharmaceutical procurement support systems and sales support devices are used, then some pharmaceutical information can be obtained, but comprehensive real-time information on shipment volume and response status cannot be provided
Solution Approach 1:
The system performs multiple functions through a single integrated platform: collecting shipment volume information from multiple websites, registering it in a database, outputting comprehensive information, and providing substitute pharmaceutical information. This multi-functional approach resolves the contradiction by enabling comprehensive information provision while maintaining efficient automated operation.
Solution Approach 2:
The system automatically crawls multiple websites to collect shipment volume information without requiring manual data gathering. The automated crawling, registration, and output processes enable the system to serve itself by continuously updating and providing comprehensive real-time shipment information, thus resolving the information completeness issue while maintaining high productivity.
2Loss of information
If manual collection of shipment volume information from multiple websites is performed, then comprehensive information can be obtained, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system employs automated web crawling technology that continuously and automatically collects shipment volume information from multiple websites without human intervention. This self-service mechanism resolves the contradiction by achieving comprehensive information coverage while eliminating the time loss associated with manual data collection.
Solution Approach 2:
The automated crawling system operates continuously to collect, update, and register shipment volume information from multiple websites. This continuous automated operation ensures comprehensive information is maintained while eliminating the intermittent time loss of manual collection methods, as the system works without interruption to keep information current.
3Ease of operation
If a simple information collection system is used, then the system remains easy to operate, but it cannot comprehensively grasp shipment volume information from multiple sources
Solution Approach 1:
The system introduces an automated crawling program as an intermediary that handles the complex task of collecting information from multiple websites. This intermediary performs the multi-source data collection automatically, allowing the main system to remain simple and easy to operate while still achieving comprehensive information coverage through the intermediary's automated multi-source gathering capability.
Data Source
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AI summary
[Problem] To provide a method, system and programs to comprehensively identify and provide a user with information on the volume of shipment of pharmaceutical products. [Solution] The method includes a shipment volume information collection step S110 in which a computer collects information on shipment volume of a plurality of pharmaceutical product s from a plurality of websites, a shipment volume registration step S120 in which the collected information on shipment volume of a plurality of pharmaceutical products is registered in a viewable database, and a shipment volume information step S130 which outputs the information on the shipment volume.