Self-Serve Forecast & Scenario Modeling for Market Analysts

## The problemMarket 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 doesA 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 forMarket analysts, data-science teams, and consulting firms producing recurring market and shipment forecasts for client deliverables.