Nordea
Intelligent treasury
Machine Learning & AIFinance & Professional Services
Key resultLiquidity forecasting moved from guesswork to AI
Challenge
Multi-national enterprises run complicated, inefficient and analogue treasury processes across networks of subsidiaries with different supply chains, currencies and regulatory environments. Nordea wanted to solve this for its largest clients in partnership with Flowtale.
Solution
Treasuries hold vast untapped data — bank statements, ERPs, TMSs. The partnership proved the potential is even bigger than anticipated.
- Data aggregation. Aggregated data from local treasuries creates transparency into operations and frees up local reporting time — the foundation of the intelligent treasury.
- AI-driven cash-flow forecasting. ML applied to the aggregated foundation eliminates the guessing game of liquidity forecasting.
- Credit-loss prediction. Intelligent models on the credit books automatically produce more accurate loss predictions per position.
Results
- Automated treasury processes
- Optimised forecasting accuracy
- Operating & credit risk reduction
Flowtale has been professional, creative, solutions-oriented, fast-moving and a flexible sparring partner that has used its competence to turn our insights about our customers into a new way of solving corporate challenges.
Topics
- Machine Learning
- Data Engineering
- Forecasting