MAG OptiAI

Operational AI

Forecasting

Forecasting is the launch-ready Operational AI workspace for teams that need a public explanation of the forecasting workflow before opening the product directly inside Pro.

Product overview

Forecasting

Train, compare, and run project-backed forecasts in one Operational AI planning workflow.

Teams forecasting demand, volume, or operational change over time
Operators who need project-backed model comparison and forecast review

What this product does

Train, compare, and run project-backed forecasts in one Operational AI planning workflow.

Upload time-series data into a project-backed workflow
Train, compare, and review saved model versions
Run forecasts and inspect evaluation outputs before rollout

Access guidance

Launch access

Forecasting starts with the standard 14-day free trial. When you need more evaluation time, use Billing in the Pro Console to request a manually reviewed 14-day beta for this product.

Workflow

How this product fits into the launch journey

See how this workflow fits into the broader MAG OptiAI journey, whether you arrive here from search, navigation, or a related solution page.

01

Structure the forecasting project

Load historical time-series data and configure the forecasting problem you want to solve.

02

Compare model options

Review forecast performance and choose the model setup that best matches the planning need.

03

Operationalize the output

Run forecasts in the active project and use the results in inventory, staffing, or planning workflows.

Proof

See the Forecasting use case

The public forecasting use-case page provides the proof-focused companion to this landing page.