ForecastingDemand Forecast
Demand Forecast
Next 90 days · Monthly view · ensemble of statistical, ML and pipeline-driven models.
Confidence 87%
Expected demand
1,850 units
18%vs last month
Pessimistic
1,550
10th percentile
Optimistic
2,100
90th percentile
Data quality
94%
affects confidence
Demand forecast with confidence band
Forecast explanation
Demand increased 18% versus last month. Open quotations contribute +24%, repeat customers +19% and a new contract +18%; a 5% price increase and Mid-Market churn pull the number back down.
Feature attribution from the winning model
Main forecast drivers
Open quotations
+24%
Repeat customers
+19%
New contract signed
+18%
Seasonality
+11%
RFQ activity
+6%
Price increase
-5%
Customer churn
-8%
Top SKUs by 30-day demand
Demand by region
Hybrid forecast composition
Final forecast = AI model + confirmed contracts + weighted pipeline + approved manual adjustment
| Component | Basis | Volume | Share | Confidence |
|---|---|---|---|---|
| Statistical forecast | 12 months of demand history | 980 | 53% | 91% |
| Contract forecast | 12 signed contracts, scheduled consumption | 410 | 22% | 98% |
| Sales forecast | 40 opportunities weighted by AI probability | 320 | 17% | 74% |
| AI pattern uplift | Learned seasonality & customer behaviour | 90 | 5% | 82% |
| Manager adjustment | New customer contract not yet integrated | 50 | 3% | 100% |
Historical demand vs forecast
Upload historical demand
Past demand volumes used to train the baseline model.
Drop a CSV here or
Expected columns: date, sku_or_service, quantity, region
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Answers are grounded in the platform's seeded workspace data plus any CSV you uploaded.