All work

Case study 05

Shift-booking automation

FlexFindr

Shift workers waste hours refreshing listings — and still lose shifts to whoever refreshes first.

Live on the App Store

Explore the project

The actual website

Try it for yourself.

flexfindr.com

Explore the actual website. Scroll and click inside the frame.

Open full website

01 The project

What we
built.

An iOS app that books shifts automatically: workers connect their credentials, set preferences with adjustable filters, and matching shifts are booked for them as they appear. Invoices and earnings tracking keep the working week in one place, with a companion marketing site alongside.

02 In practice

Inside the product.

Follow the experience from first step to outcome. These interactive illustrations use example data.

Explore FlexFindr
Start with the settings

Your search.
Your preferences.

Connect work credentials once. Set the search around the blocks that fit.

Credentials connected
Search settingsWarehousesQualifications

Search settings, caught blocks and invoices, in one app.

Illustrative walkthrough. Example data.

1 of 3

Connect and set preferences

Connect credentials and configure search settings. The app searches for blocks that match the worker's preferences, instead of relying on manual refreshing.

03 Design & engineering

Behind the build.

The decisions, the working parts and what connects them.

Shift work has a speed problem: open shifts go to whoever happens to be looking at the listings at the right moment. FlexFindr removes that race — a worker connects their work credentials once, sets their preferences, and the app books matching shifts on their behalf.

Preferences are adjustable filters rather than a one-off setup, so only shifts that genuinely fit a worker's schedule get booked. Around the automation sit the practical parts of shift work: qualifications uploaded once for verification, and bookings, invoices and earnings tracked in one place.

The app is built with React Native and Expo on Firebase, with Firestore handling data, and is live on the App Store — with a Next.js marketing site alongside. Because it acts on a worker's behalf, the unglamorous parts got extra care — including in-app account deletion with data removed within 30 days.

The working parts.

How the build is organised.

  1. App

    • iOS app (Expo)
  2. Engine

    • Shift matching
    • Auto-booking
    • Earnings tracking
  3. Services

    • Firebase / Firestore

Built with

  • React Native (Expo)
  • Firebase / Firestore
  • Next.js

For a similar project

The decisions
that matter.

Put preferences before automation. Workers choose the filters that define a suitable shift, and bookings, invoices and earnings provide context after the match. The companion website explains the app, while the mobile product handles the working experience.

FlexFindr has an iOS App Store release. Because the product acts on a worker’s behalf, the scope includes adjustable preferences and account deletion. Buyers commissioning automation should decide what a user can change, inspect and stop, as well as the action the software performs.

Mobile apps & business automation

By Alwan Technologies · Updated

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