Demand Planning Intelligence

AI Executive Summary

Unified demand forecasting platform integrating deterministic signals, pipeline intelligence, and statistical models with hierarchical reconciliation.

— SKU × Yard combinations
— historical data points
Last updated: —
Planning Coverage
—
SKU × Yard tracked
Forecast Horizon
24
weeks visibility
Model Ensemble
8
competing algorithms
Reconciliation
100%
hierarchical alignment
Key Insight
Data Status: System ready. Click "Run Pipeline" to generate AI-powered demand forecasts with hierarchical reconciliation across organizational and product dimensions.
Exhibit 1

Demand Signal Priority Matrix

Signal Source Type Granularity Priority Status
Engineering BoM Deterministic SKU-Level
Active
CPQ / SafeQuote Deterministic SKU-Level
Active
Historical Actuals Internal SKU-Level
Active
Salesforce Pipeline Leading Indicator Product Line
Configured
External Market Data External Aggregate
Planned
Signal hierarchy ensures deterministic data takes precedence, with statistical models filling gaps.
Exhibit 2

Demand Pattern Analysis

—
Smooth
Predictable
—
Seasonal
Cyclical
Trending
Directional
—
Intermittent
Sporadic
Exhibit 3

Demand Forecast Insights

Click "Generate" to produce demand forecast insights

Analysis includes trend direction, peak periods, and SKU recommendations

Pipeline

Salesforce Impact

$—
Pipeline Value
—%
Avg Win Rate
Loading pipeline data...
Monitoring

Anomaly Detection

Click "Scan" to detect anomalies

AI Insights

Recommendations

Generate AI-powered recommendations

Reference

Hierarchies & Models

Organizational
Division → Region → Area → Yard
Product
Family → Line → SKU
Model Ensemble
ETS ARIMA Theta XGBoost LightGBM N-BEATS Naive SES
Best model auto-selected per SKU × Yard based on MAPE optimization.
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Strategic Objective

A unified demand planning system that fuses deterministic job data (BoM, CPQ), pipeline signals (Salesforce), and statistical baselines (historical) — reconciled coherently across both the organizational and product hierarchies, producing SKU-level weekly forecasts that are accurate bottom-up and consistent top-down.