Demonstrating Supplier Risk Profiles with Real-World Data | HackerNoon
Briefly

from Hackernoon2 months ago
The demonstration unveiled a comprehensive supplier risk profiling system, showcasing data aggregation from 3.3 million healthcare tender notices, revealing insights on supplier ability and economic risk.
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By employing a retrained random forest model, the project successfully analyzed contractual data over a decade, resulting in the largest healthcare procurement database to date.
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Key metrics derived from supplier risk profiles included global reach of suppliers and buyer participation trends, enhancing understanding of supplier dynamics in the healthcare sector.
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This innovative approach provides a new lens through which healthcare procurement risks can be assessed, emphasizing the importance of data-driven insights in supplier management.
Hackernoonhttps://hackernoon.com/demonstrating-supplier-risk-profiles-with-real-world-data
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#text-mining #nlp #healthcare-procurement #supplier-risk-assessment #machine-learning
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