How to enhance debt collection strategies with AI in banks and fintechs
Key highlights:
🔵 Ian Madrid shared how S.P. Madrid has transformed the debt collection landscape in the Philippines, growing from a small team into a leading industry player. He also discussed their plans for expansion in the $12.4 trillion domestic credit market.
🔵 The use of AI in improving decision-making and recovery rates in debt collection, especially under the 'No Cure, No Pay' model.
🔵 How AI tools are used in identifying at-risk accounts and customizing debt collection strategies for efficiency and compliance.
🔵 The crucial role of AI and machine learning in evaluating debt portfolios, predicting profitability, and tailoring debt collection strategies.
Solution for collecting agency - https://ginimachine.com/risk-management/collection-scoring/
Key highlights:
🔵 Ian Madrid shared how S.P. Madrid has transformed the debt collection landscape in the Philippines, growing from a small team into a leading industry player. He also discussed their plans for expansion in the $12.4 trillion domestic credit market.
🔵 The use of AI in improving decision-making and recovery rates in debt collection, especially under the ‘No Cure, No Pay’ model.
🔵 How AI tools are used in identifying at-risk accounts and customizing debt collection strategies for efficiency and compliance.
🔵 The crucial role of AI and machine learning in evaluating debt portfolios, predicting profitability, and tailoring debt collection strategies.
Solution for collecting agency – https://ginimachine.com/risk-management/collection-scoring/
