Self-Serve Forecast & Scenario Modeling for Market Analysts

The problem

Market analysts need a defensible forecast and a quick scenario answer before client meetings, but every recurring question goes through the data-science team. Notebooks are not shareable, scenarios take hours to spin, and there is no clean way to show clients which model produced which number.

What this app does

A forecast workspace surfaces shipment volumes by category, region, and vendor with confidence bands and clearly labeled model attribution. Three model types—Sarimax, Prophet, and Naive/Seasonal Naive—sit side-by-side so analysts can compare outputs and check for outliers. A scenario panel lets users adjust GDP growth, average selling price, and demand-index inputs and instantly see the base forecast versus the scenario, with the delta labeled directly on the chart. Outputs are clean enough to screenshot into a client deck without reformatting.

Key takeaways

• Named-model attribution on every forecast
• Side-by-side scenarios in seconds, not hours
• Three model types in one comparison view
• Client-ready visuals—no raw exports

Who it's for

Market analysts, data-science teams, and consulting firms producing recurring market and shipment forecasts for client deliverables.

Get scenarios out of the data-science queue

See how Domo can deliver a self-serve forecast and scenario workspace built for market analysts. Tailored build with your model outputs in under two weeks.

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