Forecast Studio
Scenario planning workbench that helps finance and product teams test assumptions with explainable ML forecasts.
Problem
Planning teams relied on brittle spreadsheets that broke under new scenarios and provided no traceability back to source data.
Goal
Launch an explainable forecasting application that lets teams iterate on assumptions and share updates with confidence.
Approach
Built a modular feature store, automated backtesting harness, and an interactive React front-end that visualises forecast uncertainty with human-readable insights.
Results & Impact
Stakeholders can now simulate product launches and budget shifts in minutes while keeping an auditable trail of every change.
Speed to produce new forecast scenarios.
Monthly active analysts and PMs.
Increase in stakeholder trust surveys.
Gallery
Responsive snapshots highlighting key workflows and insight moments.
Tech Stack
- Next.js
- DuckDB
- Python
- PyTorch