ML-Driven Cash Flow Forecasting
Trained on your AR aging, AP schedules, payroll, historical payment patterns, and seasonality. The model improves with every cycle as it learns your business's specific cash behavior.
AI & Automation
Nexus Predict — AI Cash Flow Forecasting
Machine learning trained on your actual financial history, not generic benchmarks. Nexus Predict delivers cash flow forecasts that get more accurate every cycle — with anomaly detection that flags problems before they appear on the bank statement.
Forecast accuracy within 3% of actual cash flows
Key Capabilities
What Nexus Predict — AI Cash Flow Forecasting does
Anomaly Detection on AR & AP
Flags receivables that are deviating from expected payment patterns before they become overdue. Catches AP irregularities — unusual vendor amounts, timing shifts, duplicate risks — in real time.
Predictive DSO & DPO Modeling
Forecasts days sales outstanding and days payable outstanding by customer and vendor segment. Gives your treasury team early warning of working capital pressure.
Scenario Confidence Scoring
Every forecast scenario comes with a confidence score and historical accuracy metric. You know exactly how much to trust the model — and where the uncertainty lies.
Natural Language Alerts
When the model detects a meaningful shift in forecast, it explains it in plain English: "Your Q3 cash position is projected to be $2.1M lower than forecast — driven by slower collections from 3 enterprise customers."
Integration with FP&A Copilot
Predict's outputs feed directly into the FP&A Copilot for board narrative generation and budget variance commentary.
How It Works
- 1
Connect Your Data
Nexus Predict reads from your GL, AR, AP, payroll, and banking data automatically. No data exports, no manual feeds. Historical data is used to train the initial model.
- 2
Review & Adjust
The system presents the ML forecast alongside your team's manual adjustments. You control the final number — the model is your starting point, not your constraint.
- 3
Monitor & Improve
As actuals arrive, the model updates automatically. Variance explanations are generated. Forecast accuracy improves continuously.
Compliance & Standards
GAAP (ASC 230 — cash flow presentation)IFRS (IAS 7)
Available for:SMEMid-MarketEnterprise
Key Outcomes
Forecast accuracy
within 3% of actuals after 3 cycles
60%
reduction in manual forecasting time
Anomalies detected
2–3 weeks earlier than manual review