Treasury Intelligence
FY 2024 · SME Edition · Hybrid AI Ensemble · Synthetic Demo Data
Net Cash Flow
Historical + 90D ensemble forecast · 95% PI
90D
180D
1Y
Liquidity Position
Cumulative cash · ₹ crores
Monthly Inflow vs Outflow
Avg by month · last 12M
Weekly Cash Pattern
Avg net cash by weekday
90-Day Forecast
Hybrid Ensemble · XGBoost 45% · LSTM 35% · Prophet 20%
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Ensemble Active — Coverage at 95% PI: 93.8%.
Toggle models below. Run
cash_flow_forecasting_engine.py in Colab for live data.All Models vs Actual
90-day test window · toggle visibility
Ensemble
XGBoost
LSTM
Prophet
Prediction Intervals
Bootstrap 95% CI · 30D
Forecast Residuals
Error distribution histogram
30-Day Rolling Forecast
Ensemble · confidence bands included
| Date | Day | Forecast ₹ | Lower 95% | Upper 95% | PI Width | Signal |
|---|
Model Performance
Comparative evaluation · ML, statistical & deep learning
Accuracy Metrics
MAPE Comparison
Lower is better · test set
Ensemble Weights
SLSQP-optimised distribution
XGBoost Feature Importance
Top 15 · gain-based · SHAP-aligned
LSTM Training Curve
Huber loss · 30 epochs · AdamW + ReduceLROnPlateau
Engine Configuration
Upload data · tune models · export outputs
Data Input
Drop bank transaction CSV
Required:
Optional: rbi_repo_rate · usd_inr · cpi_index
date · cash_inflow · cash_outflowOptional: rbi_repo_rate · usd_inr · cpi_index
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Demo Mode — Showing 2,557 days of synthetic SME data. Upload CSV to replace.
Run
cash_flow_forecasting_engine.py in Google Colab for full ML training.Hyperparameters
Pipeline Architecture
📥
Ingest
CSV/API/ERP
2500+ rows
2500+ rows
→
🔧
Features
40+ lag/roll
calendar+macro
calendar+macro
→
🌳
XGBoost
Walk-fwd CV
500 trees
500 trees
→
🧠
LSTM
2L·128H
Huber loss
Huber loss
→
📈
Prophet
Multiplicative
+macro regs
+macro regs
→
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Ensemble
SLSQP wts
Bootstrap PI
Bootstrap PI