Custom App

RepairZone

Field Service Management Platform

5 steps

Fully automated lifecycle

0

Manual invoice steps

Missed appointments

📅 Book Customer 👤 Assign Admin 🚗 Dispatch Technician Complete +Photos 💳 Pay Stripe SMS: Your tech is en route ETA: 15 minutes Email: Invoice #1044 sent Amount: $85.00 via Stripe
The Problem

Repair businesses — electronics, HVAC, appliances — were running their entire operation through WhatsApp group chats and shared spreadsheets. Jobs got lost. Appointments were missed. Technicians showed up to wrong addresses. Invoices were sent days late.

Our Approach

Field service is a sequencing problem: booking → assignment → dispatch → completion → payment. Each step needs to hand off cleanly to the next with the right information reaching the right person at the right time. We designed the platform around that flow.

What We Built

Built a full-stack platform covering the entire repair job lifecycle: a customer-facing booking flow with service selection and scheduling, an admin job management panel, a technician mobile view with GPS navigation links and photo uploads, Stripe-powered automatic invoicing on job completion, and SMS/email notifications at every stage transition.

Customer booking flow — service selection, address input, appointment scheduling

Admin panel — create, assign, track, and close repair jobs across all technicians

Technician mobile view — assigned job queue, GPS navigation link, status updates, photo uploads

Automatic Stripe invoice generation triggered on job completion

SMS and email notifications at each stage: confirmed, en route, completed, invoiced

Tech Stack
Ruby on Rails React Stripe Google Maps API PostgreSQL Twilio
Outcomes

5 steps

Fully automated lifecycle

0

Manual invoice steps

Missed appointments

  • End-to-end job lifecycle fully tracked digitally — no more lost WhatsApp threads

  • Missed appointments significantly reduced through automated confirmation and reminder flow

  • Billing errors eliminated — invoices generated automatically from job data

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