A public sample-data browser prototype that models freight email triage as owned, visible work with queue, aging, detail, and resolution views.

The workflow before the build

Exception signals can remain trapped in email and ad hoc follow-up, making ownership, age, priority, and resolution status difficult to see across an operations team.

What the public project delivers

The public React and TypeScript Power Apps Code App packages control-tower lanes, owner assignment, email-thread context, SLA views, and resolution actions over fictional sample data persisted in browser localStorage.

  • Models freight email work as structured queue items over fictional sample data.
  • Shows queue, item detail, aging, and resolution views.
  • Supports explicit owner assignment, resolution, and reopening actions.
  • Calculates prototype SLA and aging metrics over the local sample records.

The value case, stated honestly

The design is intended to turn scattered exception signals into explicit work items with visible ownership and service-level context.

Evidence label: Designed value: a shared queue for freight exceptions with clearer ownership, aging, priority, and resolution state.

Architecture in one view

Fictional freight email work moves through a browser mock provider into a control tower and explicit owner resolution.

Freight Triage Control Tower architecture Fictional freight email work moves through a browser mock provider into a control tower and explicit owner resolution. 01 Sample email work 02 Mock provider 03 Control tower 04 Owned resolution
01 / Sample email work

Fictional shipment messages and threads supply the prototype queue.

02 / Mock provider

A shared data-provider interface persists mutable sample items and emails in browser localStorage.

03 / Control tower

Power Apps views expose queue, age, priority, detail, and status.

04 / Owned resolution

An operations user reviews assistance, takes action, and records the outcome.

Human control and guardrails

  • The prototype uses fictional carriers, shipment numbers, messages, and metrics rather than operational data.
  • Assignment, resolution, and reopening are explicit user actions.
  • A named operations owner remains accountable for the recorded resolution.

Where the pattern stops

  • The current implementation uses a mock localStorage provider; Dataverse is described as a future provider swap, not a delivered integration.
  • Authentication, authorization, concurrency, audit, connectors, and production escalation policy are not implemented.
  • The repository does not establish measured operational improvement or production adoption.

Explore the public proof