Logistics operations / Product case study

A tracking event is not a resolution.

Turn fragmented carrier events into an owned exception queue with evidence, next actions and controlled updates.

RelaywardBuilt by Tern & LoomIllustrative operating scenario
About this case study

This describes a Tern & Loom product implementation using fictional business data. It is not a client engagement, testimonial, or measured customer result. The website walkthrough uses authored outputs; the operational product contains the agent orchestration and review workflow.

See the exception. Own the next move.

Carrier feeds arrive late, use inconsistent status labels, and do not explain who should act. Operators spend time reconstructing events and sending updates while failed attempts and stalled shipments remain unowned.

Relayward operational interface with seeded fictional business data
Actual Relayward workspace. All displayed business records are fictional.
01

Carrier event normalization and chronology

02

Commitment-based exception detection

03

Owner assignment and recovery planning

04

Evidence-grounded internal and customer updates

Follow the exception.

Inspect a failed delivery attempt, a stalled shipment, and a delivery-window exception. The walkthrough reconstructs the relevant facts and prepares an internal update while retaining uncertainty about recovery and delivery.

1

Event analyst

Establish the record and the available evidence.

2

Exception analyst

Check domain context, sources and constraints.

3

Recovery planner

Prepare a proposed next step with uncertainty visible.

4

Operations reviewer

Challenge the proposal before human review.

The product implements these roles with LangGraph orchestration, evidence snapshots and a review gate. This website presents a deterministic walkthrough of that structure; it does not run a model.

  • Event time is kept distinct from the time an update was received.
  • An ETA is not treated as proof of delivery.
  • A generated update cannot claim an unverified carrier contact or resolution.

Define success before rollout.

Establish a baseline from the team’s existing process, run a controlled pilot, and compare like-for-like work. Track exceptions alongside speed.

  1. Time from exception detection to ownership
  2. Unowned exception age by carrier and rule
  3. Accuracy of updates against carrier evidence

No improvement percentages or ROI figures are claimed for this illustrative case.

Relayward

See the evidence yourself.

Inspect three sample records and work through the review.

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