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Case Study

FareBuildGlobal (built in Australia)SaaS Product BuildAI FeaturesStripe BillingE2E Testing

A live charter-quoting SaaS with billing, auth, and 21 passing end-to-end tests

FareBuild (farebuild.com) is OTGM's own charter quoting SaaS for operators — the deepest proof that "marketing agency" undersells what this business builds. A production Next.js application with Firebase authentication, Cloud SQL PostgreSQL, Stripe subscriptions, an AI natural-language quote parser ("6 pax from Sydney to Byron Bay on Friday at 10am"), fuel-stop planning for routes exceeding aircraft range, and 21 Playwright end-to-end tests covering everything from signup to double-booking prevention.

FareBuild charter quoting software dashboard — FareBuild case study
Live production SaaS on farebuild.com21 passing Playwright E2E testsAI natural-language quote parsing

The build

The site we built for FareBuild.

The live homepage at farebuild.com, captured from production — every training pathway, pricing detail, and booking step built to turn quiet research into real enquiries.

farebuild.com
FareBuild quoting software for charter operators — the OTGM-built SaaS with AI quote parsing and automated pricing

The challenge

What FareBuild needed to solve

Charter operators quote by email and lose deals to whoever answers fastest. The commercial hypothesis: a quoting engine that turns a plain-English trip request into a priced, feasible, sendable quote in seconds would compress the charter sales cycle and capture demand that currently evaporates. The build standard was set deliberately high — production billing, real authentication, end-to-end test coverage — because the product is also proof of OTGM's software capability.

Our approach

How the engagement was delivered

1

Operational fluency into code

The pricing engine encodes real charter economics: distance-based hourly rates, fuel surcharges, landing fees, crew day rates, minimum hours, and fuel-stop planning for legs exceeding aircraft range. The aircraft recommender matches passenger count, range, and runway requirements to the fleet — ICAO/IATA airport search included.

2

AI where it earns its place

The natural-language quote parser turns "6 pax from Sydney to Byron Bay on Friday at 10am" into a structured, priced quote. Scenic routes get public booking widgets and shareable accept/reject quote links — operators see a real product surface, not a chatbot demo.

3

Production-grade engineering

Firebase Auth with server-side verification, Cloud SQL PostgreSQL, Stripe subscriptions with a checkout audit that caught and fixed real security issues (operator-scoped data access, plan persistence, fail-loud URL handling). 21 Playwright tests cover auth, fleet CRUD, quote pricing, public booking, and double-booking prevention.

4

Honest pre-revenue state

The database is a clean slate and the first paying customers are the next milestone. We publish that state rather than hiding it — the case study is the build and the architecture, and the standard it was held to.

Timeline

2026 H1: concept and validation interviews. 2026-08: product pivot to WIP=1 priority. 2026-09: live on farebuild.com, signup-to-database verified end-to-end, checkout audit shipped. Next: first paying operators.

Results

What the work produced

21

Playwright E2E tests passing

Auth flows, aircraft CRUD, scenic routes, quote pricing with feasibility warnings, and public booking including double-booking prevention.

Seconds

Plain-English request to priced quote

The NL quote parser turns a natural trip request into a structured quote with pricing, feasibility, and aircraft recommendation.

E2E

Signup to Stripe checkout, verified live

Real Firebase signup through to Stripe subscription checkout, verified end-to-end on production (2026-09-09), with the security audit fixes shipped.

Pre-revenue

Published honestly

Zero paying customers at time of writing — the DB was wiped to a clean slate after testing, and first revenue is the explicit next milestone. The proof here is the build standard, not a revenue claim.

Where this case study is referenced

The offers + tools built around FareBuild

The mechanics from this engagement feed directly into the OTGM offers below. Each anchors on the FareBuild numbers — pricing, conversion benchmark, ranking proof — so you can follow the offer that maps to your situation.

Your sector

Want results like these for your charter operation?

See how we approach charter operation marketing — positioning, SEO, website, and lead flow — on our dedicated sector page.

Your turn

Want results like FareBuild's?

Tell us about your business and we'll put together a plan tailored to your sector and market.