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Monthly SaaS Revenue Forecast
Forecasting 6 months of revenue for a growing SaaS company using 12 months of historical data. Demonstrates exponential smoothing model selection for trend-only data with 5.1% MAPE accuracy.
Input
What you provide to the skill
forecast our monthly revenue for next 6 months - Jan-Dec 2024: 85k, 92k, 88k, 95k, 102k, 98k, 110k, 115k, 108k, 125k, 132k, 145k
Output
What the skill generates for you
=== BUSINESS FORECAST REPORT ===
DATA SUMMARY:
Historical Data: 12 periods
Date Range: 2024-01-01 to 2024-12-01
Frequency: monthly
Value Range: 85,000.00 to 145,000.00
PATTERN DETECTION:
Trend: Upward (+4.5% per period)
Seasonality: Weak (0.0% of variance)
Model Selected: Exponential Smoothing
MODEL ACCURACY:
MAPE: 5.1% (Good)
FORECAST:
Period Forecast 80% Range
2025-01-01 146,896.09 139,289.38 - 154,502.80
2025-02-01 155,012.84 144,255.33 - 165,770.35
2025-03-01 163,129.59 149,954.38 - 176,304.80
2025-04-01 171,246.34 156,032.92 - 186,459.76
2025-05-01 179,363.10 162,353.98 - 196,372.22
2025-06-01 187,479.85 168,847.29 - 206,112.41
FORECAST SUMMARY:
Total Forecast Periods: 6
Total Forecasted Value: 1,003,127.81
Average Per Period: 167,187.97
Peak Period: 2025-06-01 (187,479.85)
Lowest Period: 2025-01-01 (146,896.09)
KEY INSIGHTS:
- Strong growth trend detected - expect continued increases
- High forecast accuracy - results are reliable
About This Skill
Generate accurate time series forecasts from historical business data. Automatically detects trends and seasonality, selects optimal ARIMA/exponential smoothing models, and delivers confidence intervals with plain-language business insights.
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