Case Studies
Logistics

Delivery Exception Intelligence for a Regional 3PL

A regional third-party logistics operator cut SLA breach discovery from T+18 hours to under 90 minutes — across 400+ daily shipments, without a single engineering sprint.

400+ daily shipments, 90-minute breach discovery, zero manual pull from day one.

At a Glance

ClientRegional third-party logistics (3PL) operator
IndustryLogistics — Delivery SLA & Exception Operations
Scale400+ daily shipments
Systems ConnectedTransport management system · GPS telematics platform · SLA contract database
Workflow DeployedDelivery Exception Intelligence
Deployment16 days, read-only, zero engineering after connection

Key Metrics

Breach Discovery

T+18h → 90min

Time from a shipment trending toward breach to an account manager knowing about it.

Time to Live

16 days

Read-only connection to first live exception alert.

Daily Shipments

400+

Shipments evaluated on every single run, no manual sampling.

The Situation

A regional 3PL managing 400+ daily shipments had its operational data split across three systems that never talked to each other: delivery status and proof-of-delivery logs in a transport management system, live vehicle location and ETA estimates in a GPS telematics platform, and customer SLA window commitments stored in a contract database. When a shipment ran late, the first signal was typically a customer escalation — not an internal alert. Every morning, two ops managers spent two hours pulling TMS exports, cross-referencing GPS logs, and manually comparing each shipment against its contracted delivery window. By the time the report was ready, many of the exceptions it described were already resolved, compounded, or on their way to becoming formal SLA penalties.

The first sign of a late shipment was usually the customer's phone call.
Current State — Before Autonmis
Broken

Data sources

Transport Management System

Shipment status & delivery logs

GPS Telematics Platform

Live vehicle location & ETA

SLA Contract Database

Customer delivery window commitments

No unified view — sources never sync

Failure events

T+18h breach discovery
2-hour daily manual pull
First signal is a customer call

What Was Breaking

Why manual operations couldn't scale

01

Three systems, no cross-check.

Delivery status lived in the TMS, live location and ETA in the GPS telematics platform, and SLA windows in the contract database — nothing compared them to each other automatically.

02

Detection depended on the customer noticing first.

An internal alert rarely arrived before the customer's escalation call did.

03

The manual pull was a fixed daily cost.

Two ops managers spent two hours every morning cross-referencing TMS exports against GPS logs — and by the time the report was ready, many of the exceptions it described were already resolved, compounded, or on their way to a formal SLA penalty.

The approach

The Approach

1

Connect your sources

TMS, GPS telematics, and SLA database connected read-only — 16 days to live, no engineering sprint.

2

Configure SLA rules per customer tier

Delivery windows, deviation thresholds, and escalation routing written in plain language by ops.

3

Autonmis watches every shipment

Continuous cross-source evaluation. Alerts fire before breach, not after the customer calls.

After

Transport Management System

Shipment status & delivery logs

GPS Telematics Platform

Live vehicle location & ETA

SLA Contract Database

Customer delivery window commitments

Autonmis

Governed Intelligence Layer

Knowledge Base

rules · thresholds · logic

Morning Exception Brief
ETA Deviation Alerts
Account Manager Routing

Connected read-only to the TMS, telematics platform, and SLA contract database in a single setup session. The Knowledge Base was configured with delivery window definitions, carrier deviation thresholds, and customer tier escalation rules — written in plain language by the ops lead, not an engineer. Autonmis then ran continuous cross-source evaluation: comparing live ETA estimates from telematics against contracted delivery windows from the SLA database, and flagging shipments that were trending toward breach before they crossed the threshold.

Exception alerts routed to the relevant account manager with full context — shipment ID, current ETA, contracted window, and minutes to breach. A structured morning brief covered overnight exceptions, sorted by severity and customer tier. The manual export process was retired on day one of go-live. The workflow went from initial scoping to production in 16 days, with zero engineering involvement after source connection.

The Workflow

TriggerA shipment's live ETA trends toward its contracted delivery window, before the breach actually occurs.
Data SourcesTransport management system (delivery status) · GPS telematics platform (live ETA) · SLA contract database (delivery-window commitments)
Runs AsContinuous cross-source evaluation of every shipment on every run against its SLA tier; account-manager routing with shipment ID, current ETA, contracted window, and minutes-to-breach; morning brief sorted by severity and customer tier.
Human in the LoopAccount manager owns all customer communication and remediation on a flagged shipment — the platform routes and contextualizes, nothing is auto-communicated to the customer.

Results

T+18 hours → under 90 minutes

SLA breach discovery lag

Previously discovered when a customer escalated or at morning review

Audited against the manual TMS-and-GPS cross-reference baseline measured before connection.

2 hours → zero

Daily morning exception report prep

Two ops managers freed from manual TMS pull and cross-reference

Audited against the two ops managers' daily manual-pull time prior to go-live.

16 days

Time to first live exception alert

From initial source connection to production monitoring

400+ shipments

Monitored continuously across three sources

No manual sampling — every shipment evaluated on every run

Zero

Engineering dependency for ongoing operation

Ops team manages rules, thresholds, and escalation logic independently

Governance Note

Every deviation threshold here — what counts as 'trending toward breach' for a given customer tier — is a rule the ops lead set in the Knowledge Base, not a hardcoded default; change the tier definition and every future evaluation uses it.

Implementation

Time to live

16 days to first live exception alert

Sources connected

3 (TMS, GPS telematics, SLA contract database)

Engineering dependency

Zero

Ready to see it in your stack?

We can scope your use case to a live workflow in the first session.

Three sources. No engineering dependency. First automation in under three weeks.

Book a 30-minute call

Composite deployment example. The business workflow reflects real implementation patterns. Company names, operational data, and reported outcomes have been synthesized for illustration.