Product case study · Restaurant operations AI

Wobistro

An AI operating employee for gastronomy that turns restaurant evidence into reconciliations, exceptions, approvals and verified next actions across cash, inventory, shifts, food safety and delivery.

ProductRestaurant Operations, Private AI Employee, Record & Reconcile
PlatformsWeb App, Restaurant Tablet, WhatsApp
LanguagesES, PT-BR, EN
StackNext.js, TypeScript, PostgreSQL, OpenAI, Stripe

What Wobistro is

Wobistro 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. An AI operating employee for gastronomy that turns restaurant evidence into reconciliations, exceptions, approvals and verified next actions across cash, inventory, shifts, food safety and delivery. 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, PostgreSQL, OpenAI, Stripe. These components support the restaurant operations, private ai employee, record & reconcile workflow across Web App, Restaurant Tablet, WhatsApp. The architecture is presented as shipped product evidence: interface states, domain logic, supporting services and distribution are treated as one operating system rather than separate concept screens.

Explore the live product