Scaling a B2B Quotation SaaS from 0 to 200 Enterprise Clients
The Challenge
The client was manually generating quotes via spreadsheets — a process taking 4+ hours per quote. They needed a real-time configurator that handled 10,000+ product permutations instantly.
Our Solution
We architected a rule-engine-based SaaS configurator in Next.js with a Postgres database optimized for complex relational pricing logic. A real-time WebSocket feed updated prices as users configured products.