Product case study · Restaurant intelligence

Restaurant Margin

A Next.js restaurant-intelligence workspace that computes food cost and contribution margin in the browser, persists menu scenarios locally, routes AI assessments through DeepSeek and gates exports and multi-menu workflows with Stripe.

ProductRestaurant Intelligence, Menu Engineering
PlatformsWeb App
LanguagesEN
StackNext.js, TypeScript, DeepSeek, Stripe

What Restaurant Margin is

Restaurant Margin is part of Gerardo Salazar's independent product portfolio. The work joins product strategy, interface design, application engineering and production delivery around a specific operating problem. A Next.js restaurant-intelligence workspace that computes food cost and contribution margin in the browser, persists menu scenarios locally, routes AI assessments through DeepSeek and gates exports and multi-menu workflows with Stripe. This page is the stable, crawlable reference for the project; the interactive portfolio contains the visual walkthrough and product media.

How the system is built

The primary technology system uses Next.js, TypeScript, DeepSeek, Stripe. These components support the restaurant intelligence, menu engineering workflow across Web App. The architecture is presented as shipped product evidence: interface states, domain logic, supporting services and public distribution are treated as one operating system rather than separate concept screens.

Explore the live product