Balaji Roofing Industries: Quotation App and Pricing Engine

Balaji Roofing Industries manufactures and supplies roofing sheets, PUF insulated panels and related products. Sales quotes were built by hand from a daily rate sheet, which is slow and easy to get wrong.

The first build captured inbound enquiry calls through Plivo, transcribed them with Sarvam, and turned them into draft quotations inside a CRM: a NestJS and PostgreSQL back end with a React, Vite, Tailwind and shadcn/ui front end, with live updates to the sales screen.

After using it, the client asked for a different shape: no telephony and no CRM, just a fast guided quotation flow. We kept the part that mattered, the pricing math and the quotation PDF layout, and rebuilt the app around it.

Guided quotation wizard: location, product, thickness, sizes and quantities

Pricing engine in a Supabase Edge Function, never in the browser

Quotation PDF generated server-side and shared through a signed link

Daily rate entry, plus products and locations management

Supabase Postgres with row-level security per staff user

Hosted in the client's own Supabase and Vercel accounts

Version 1: NestJS, PostgreSQL, WebSockets, Plivo, Sarvam, React, Vite, Tailwind CSS, shadcn/ui. Version 2: Supabase (Postgres, Auth, Edge Functions, Storage) with the React front end on Vercel.

The screenshots show the version 1 design prototype with sample data; phone numbers, tax IDs and emails are blurred.