FieldOne: a dispatch and driver app, walked through.

An illustrative walkthrough. FieldOne Logistics is a fictional company, used here to show how a team running dispatch out of a shared spreadsheet and a group chat would move onto an app built with Tadabase AI.

Where they start.

FieldOne has run dispatch out of a shared Google Sheet and a WhatsApp group for six years.

The company
A 32-truck logistics company serving the Pacific Northwest.
Dispatch
A shared Google Sheet that has grown to 18 tabs, kept in sync by three people.
Drivers
A WhatsApp group. Drivers message dispatch to find out what is assigned to them.
Proof of delivery
Photos in driver camera rolls, texted in after the fact.
Invoices
Typed into QuickBooks by hand from those text threads.

Why a prototype isn’t enough.

A demo that looks right is not an app a team can run on.

A dispatch tool thrown together in a prototyping tool over a weekend can look convincing, but without logins or anywhere to actually store data, nobody can run a day of dispatch on it.

Described to Tadabase AI, the same idea comes back as a working app on a real backend: drivers get their own logins and a mobile-friendly job board, proof of delivery is uploaded from the job itself, and dispatch sees every status change as it happens, instead of reconciling it by hand.

What the app includes.

Everything below runs on one set of tables, logins and rules.

  • Dispatcher web view with a kanban dispatch board.
  • Driver mobile PWA with their assigned jobs.
  • POD upload with photo and signature.
  • Per-customer invoice PDF generated from completed jobs.
  • Friday email digest of the week's revenue and unbilled work.
  • SSO with Google for the office staff; magic-link login for drivers.

What could come next.

Ideas a team like this might add once dispatch runs on the app.

  • An estimator tool customers use to self-quote a load.
  • A Stripe integration so customers can pay invoices directly from the PDF email.

See the other example builds

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