Case Study

Group ordering, a customer dashboard and a store finder for a national restaurant chain

Feature work on the web ordering app of a multi-state US fast-casual chain: group ordering, a client-facing dashboard and a nearby-locations finder on Next.js.

Client
A multi-state US fast-casual restaurant chain (name withheld)
Industry and market
Restaurant ordering, United States
My role
Senior Web Developer (employer work, 2026): group ordering, a client-facing dashboard and the nearby-locations feature
Duration
2026
Stack
Next.js (App Router), React, Chakra UI, Google Maps Platform, Sentry

The business problem

A fast-growing US fast-casual restaurant chain was replacing its third-party ordering system with its own web and mobile experience, connected to its point-of-sale, loyalty program and kitchen workflows. The new app launched in 2026 on the web, iOS and Android. A chain like this needs ordering to feel the same in every location and to handle the way people really order: alone, with a group, and from wherever they are standing.

The technical challenge

  • Group ordering. Several people need to contribute to one order without the app losing track of who added what.
  • A customer-facing dashboard. A new area where customers see and manage their activity, built to fit the existing account and ordering flows.
  • Finding the right location. Visitors arrive from a phone, a ZIP code or a city name, and must end up at a location that can serve them, for pickup or delivery.

What I built

  • Group ordering on the web ordering app.
  • A client-facing dashboard as a new area of the app.
  • The nearby-locations feature: location detection, search by city or ZIP code, results within a radius shown on a map, and a switch between pickup and delivery.

Architecture

  • Next.js (App Router) and React, with Chakra UI for the interface
  • Google Maps Platform for the map and location search
  • A separate back-end service for restaurant and menu data, which the app calls from the browser
  • Sentry for error monitoring in production

Results

The app replaced the chain’s previous third-party ordering system and went live across its locations on web and mobile in 2026. It scores 100 for accessibility and for SEO in Lighthouse (whole-app results, not only my work). I do not have usage figures I am cleared to publish, such as the share of orders placed as group orders, and I would rather leave them out than estimate them.

What I would do differently

Load the map after the visitor starts a location search, rather than on first load, to cut the initial JavaScript, and make sure a typed ZIP code or city always returns results in the first step, since that is where an order begins.

Building an ordering or booking flow?

If you need app-like features such as accounts, dashboards, maps or multi-user flows, Next.js development is where I work. A technical assessment is a good way to start.

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