Case study 01
Choose My Plane
The problem
Buying an aircraft is one of the largest purchases most people ever make, and the research process is a mess of PDFs, forum posts, and broker opinions. Performance data is hard to compare because manufacturers report it differently. Operating costs are almost impossible to model without an accountant and a spreadsheet.
What it demonstrates
Stack
What I built
A mission-first comparison tool that normalises data from flight manuals and owner reports into a consistent schema, then lets a buyer filter by mission (business travel, family hauler, agricultural use), compare up to five aircraft side-by-side, and model real total-cost-of-ownership with customisable cost variables.
The data layer involved reconciling inconsistent reporting standards across 200+ aircraft from 67 manufacturers: performance figures, fuel burn, range, payload, and cost components. The front-end exposes this through interactive range maps, side-by-side comparison tables, and exportable reports.
The feature set and copy were designed to serve a specific buyer psychology, not just display data. The application migrated from a JavaScript SPA to a server-rendered stack for performance and SEO without losing functionality.