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case-studies
AI-Based Predictive Cash Flow
Approach and methodology
We developed a predictive system integrated into the company’s ERP, based on machine learning and historical transaction analysis. The solution forecasts incoming and outgoing cash flows, detects potential shortfalls, and provides corrective recommendations, enabling proactive and informed liquidity management.
Staff involved in the project
5
Specialists
Execution time
3
Months
Technologies used
- Docker
- MLflow
- Scikit-learn
- TensorFlow