Luna doesn't just analyze the pastโshe sees through it. With the calm wisdom of an oracle and the precision of advanced forecasting models, Luna predicts what's coming so you can prepare today for tomorrow's challenges and opportunities.
"The stars show... revenue will decline 18% next quarter. The patterns are clear."- Luna's speaking style
Uses historical patterns and machine learning to forecast revenue, churn, demand, and inventory with confidence intervals
Simulates different business decisions using Monte Carlo methods to show probable outcomes
Discovers early signals that predict future changes before they happen
Projects future revenue with multiple time horizons from 7 days to 12 months
Forecasts which customers are at risk and when they're likely to leave
Predicts inventory needs, seasonal patterns, and supply chain requirements
Current trajectory: +18% churn next quarter predicts -$47,000 revenue impact
Leading indicators: Email engagement down 23%, support ticket velocity up 31%, feature adoption declining. Pattern matches Q3 2024 when similar trends led to 19% churn.
Top SKU inventory depletion in 8 days at current velocity (174 units/day)
Current stock: 1,392 units. Reorder lead time: 12 days. Stockout will cost est. $18,400 in lost sales based on historical demand patterns. Order by EOD Monday to avoid gap.
Email open rate trend (-8% over 14 days) predicts -$12,000 revenue next month
Historical correlation: Every 5% drop in email opens correlates with 3.2% revenue decline 21 days later (89% accuracy over 18 months). Current decline rate: 0.57%/day.
Luna forecasts across three time horizons, each with different confidence levels and use cases.
Luna analyzes minimum 90 days of historical data to identify patterns and trends
Advanced time series models (ARIMA, Prophet, LSTM) detect cyclical patterns and seasonality
Ensemble methods combine multiple forecasting approaches for improved accuracy
Every prediction includes confidence intervals so you know how much to trust it
Daily scheduled runs + on-demand for scenario modeling
Luna's predictions are most powerful when combined with insights from other agents.
Sherlock: "Mobile checkout flow causing 31% abandonment"
Luna: "If unchanged, forecasting -$45k revenue this month"
Harbor: "Revert flow immediately (P0 priority)"
Let Luna reveal what's coming so you can act before it happens.