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Objectives
Traditional methods of supply chain and logistics partner validation and assessment were time-consuming and lacked accuracy, leading to delays in business operations and risks. Inefficient partner on boarding processes further exacerbated these challenges, hindering growth and competitiveness.
The vision was to streamline the partner on-boarding process for MSMEs through the implementation of digital Know Your Customer (KYC) validation, credit scoring, and AI-powered analytics.
Solution
Implementation of Gen AI solutions on Azure. Azure Blob Storage persisted and managed financial statements as well as KYC documents, securely. Azure Machine Learning Studio facilitated feature selection and engineering, enhancing the credit scoring model’s predictive power, while leveraging Azure Databricks for data preprocessing and model training.
Benefits
- On-boarding Time
Significant reduction in partner onboarding time and operational costs. - Operational Efficiency
Enhanced accuracy and reliability of partner assessment through digital KYC validation and credit scoring. - Financial Impact
Improved access to financial services for MSMEs, facilitated seamless integration with financial institutions.
At A Glance
Challenges
1. Disparate Data Sources
2. Slow turn-around
Benefits
1. Risk mitigation
2. Reduced operational costs
Conclusion
Gen AI technologies in conjunction with Microsoft Azure services revolutionized partner on-boarding. The modernization of partner onboarding unlocked new opportunities for growth and competitiveness in today’s dynamic
marketplace.