AI features How-To

How to use What-if and AI Compare

Create an alternative scenario, solve it, and compare the result against the baseline before deciding which plan is stronger.

Read steps All How-To Guides

Guide details

Audience

Scheduling and routing users

Time

6 minutes

What this guide covers

Create an alternative scenario, solve it, and compare the result against the baseline before deciding which plan is stronger.

Start from a saved baseline

Open What-if Analysis

Generate a controlled variant

Review the proposed change before solving

Compare baseline and variant with AI Compare

Step by step

Follow the task path

Each step gives you the action, the reason it matters, and the visual state to look for before continuing.

Step 1

Start from a saved baseline

Run or save the baseline scenario so the workspace has a stable result to compare against.

Saved baseline Production Scheduling result with KPI cards available for comparison.

Step 2

Ask for a specific change

Describe a practical operational adjustment such as adding capacity, changing availability, adjusting a route, or testing a planning policy.

What-if Analysis tab with supported changes and prompt field for a focused variant.

Step 3

Review the proposed variant

Confirm that the variant changes the intended employees, technicians, rooms, stops, capacity, or timing before solving it.

Generated What-if variant showing the proposed operational change before saving or solving.

Step 4

Compare baseline and variant

Use AI Compare or comparison views to inspect KPI movement, trade-offs, and the operational explanation before choosing a plan.

AI Compare summary explaining trade-offs between the baseline and variant schedules.

Tips

Ask for one scenario change at a time when possible.

Confirm lower-is-better metrics by reading the raw delta direction.

Save useful variants so you can return to them later.

Related how-to guides

Continue with nearby tasks in the same category.

How to use AI Explain

Ask focused questions about generated results so MAG OptiAI can explain KPIs, charts, schedules, routes, model outputs, or document answers using visible output.

Open guide

How to use AI Configure

Set up your scenario with guided assistance. MAG OptiAI helps you understand required inputs, configuration choices, and setup rules before running the model.

Open guide

How to use AI Summary

Generate a short summary of the current result or output so you can quickly understand key findings, risks, and next steps.

Open guide

Keep moving through MAG OptiAI resources

Return to the full how-to library or step back to the resource hub when you want a different kind of guide.

All How-To Guides Back to Resources