Data Intelligence product
Forecast demand, revenue, and capacity
Without writing training code
Train explainable time-series models on gold data so you can plan demand, revenue, or capacity — then call the forecast from an API.
Start with a CSV or a database. No data science team required.
See the next interval before it arrives
Train an explainable forecast on gold time-series data, then call it from a REST API — no notebook-to-production rewrite.
Revenue Forecast Analysis
Visualize actual vs predicted values with confidence intervals to understand forecast reliability.
12 months
0.82
Auto-ARIMA
Monthly
Comparison of actual vs predicted values with confidence intervals
Explainable Forecasts
At Heimdall, we value explainability and give you the necessary tools to understand the overall performance of your forecast models with detailed metrics and performance indicators.
Easy Management
Using our tools, you can effortlessly manage many forecasts at the same time. We give you the ability to disable inactive models and optimize performance across your entire portfolio.
Use cases
Forecasting use cases on Heimdall
Time series deployments for demand planning, meteorology, and business forecasting on gold datasets.
See warehouse workflows that feed these models on all Heimdall use cases.
Put a forecast on your next planning cycle
Train on gold time-series data, review the drivers, and deploy an API your ops or finance tools can call.