LuMay
Forecasting Agents
Forecasts with confidence intervals — not gut feel.
Workload, demand, and risk forecasting calibrated to your historical data. Conservative, central, and stretch scenarios per forecast. Backtest-able against your own history — no data science skills needed.
Mean-absolute-error reduction vs. existing time-series approach.
Conservative, central, stretch - with calibrated confidence bands.
Validate against your own history before trusting forward forecasts.
Before Vs. With LuMay Forecasting Agents
From spreadsheet guesswork to ML-calibrated forecasts with full accountability.
Three Steps To
Calibrated Forecasts.
Forecasting Agents connect to your existing data sources. No data science team needed. The model backtests against your own history before you trust a single forward forecast.
See it on your real dataAI Forecasting — Key Capabilities
Calibrated predictions, transparent drivers, defensible decisions.
ML-Calibrated Forecasts
Trained on your actual historical data, not generic models. Mean-absolute-error reduced by 27% vs. existing time-series approaches on average.
Confidence Intervals
Every forecast ships with calibrated confidence bands - not a single-point guess. Conservative, central, and stretch scenarios per period so planners have the full picture.
Backtest Validation
Run the model against up to 5 years of your own history before trusting a single forward forecast. Accuracy is verified, not assumed.
Real-Time Refresh
Forecasts update automatically as new data arrives. No weekly batch jobs. No stale numbers. Planning teams always see the latest calibrated view.
Driver Decomposition
Every forecast comes with its driver breakdown - so when demand moves, you know exactly which factors caused it. Transparent, not a black box.
Scenario Modeling
Run what-if scenarios against your forecast - demand shock, supply disruption, headcount change. Each scenario ships with confidence bands so you can plan, not just guess.
Built For How Planning Teams Actually Work.
From data connection to board-ready forecast, LuMay Forecasting Agents surface what matters — so your team debates strategy, not arithmetic.
Built for Enterprise Planning Teams
SOC 2 ready, end-to-end encryption, and role-based access. Read-only data connections by default.
Workload, demand, staffing, and supply-chain forecasts all on one platform.
Model accuracy improves with every cycle. Seasonality and trend shifts detected automatically.
Shared forecast workspaces, scenario annotations, version history, and approval workflows.
SQL, Azure, Google Cloud, Snowflake, BigQuery, Redshift, Excel - connect what you already have.
Real Numbers. Cited.
Quarterly planning variance cut by a third within 2 quarters of deployment.
Supply-chain customers report stock-out incidents falling by two-thirds after deployment.
Call-center staffing matches actual load - fewer over- and under-staffed shifts each week.
Forecasting Isn't A Guess.
It's An Operational System.
The companies that operate well aren't the ones with the best gut instincts - they're the ones whose forecasts are calibrated. Forecasting Agents replace the spreadsheet-and-instinct loop with a calibrated, backtest-able system that improves with every cycle. Every forecast comes with its driver decomposition, so when something moves you know exactly why.
Book a demoIntegrations
Integrates With Your
Essential Data Stack.
Everything You
Need To Know.
Send Us Your Worst-Calibrated Forecast.
We'll Backtest A Better One.
30 minutes. Hand us 12 months of history. We'll backtest a calibrated forecast against it live and show you the accuracy improvement side by side.