Flow Forecast & Actuals Hub
Import raw Flow Forecasts or Historical Actuals, stage interval-level curves, auto-sync parameters, and evolve database schemas dynamically.
Upload Flow Forecast File
Pipeline Execution Summary
IdleUpload a Flow Forecast file to see ingestion stats, dates processed, and live calculated intervals.
Automated Provisioning
- Staged raw data into
dbo.Stg_FlowForecastData - Synced intervals into
dbo.VolumeForecast - Auto-mapped parameters and volume-weighted SUMPRODUCTs
Automated SFTP Feed
ActiveAutomated hourly ingestion drop directory:
Upload Historical Actual Data
Actuals Ingestion Summary
IdleUpload an Actual Data file to see upsert stats, dates processed, and interval counts.
Data Pipeline Benefits
- Idempotent UPSERT into
dbo.ActualData - Supports dynamic column expansion and schema evolution
- Immediately available in AI Forecasting Model Tournament
Target Parameters for AI Forecasting Engine
Source: ActualData
Select which parameters from the ActualData table are eligible for AI time-series forecasting. Active parameters will appear in the AI Forecast Engine dropdown. (Note: Service Level and Service Time are derived Erlang KPIs and are permanently excluded from direct forecasting).
Parameter Rules
- Volume: Toggles Volume Forecasting in the AI Forecast dropdown. Default is unchecked.
- AHT: Forecasts average handle time in seconds based on historical distribution.
- Shrinkage: Predicts shrinkage % (Out of Office / In Office) for capacity planning.
- Service Level & Service Time: Computed dynamically via Erlang algorithms, never directly forecasted.
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