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Industry 04 · Logistics & Supply Chain

Move shipment exceptions, proof-of-delivery documents and freight checks out of shared inboxes and into traceable workflows connected to the operating systems your control tower already uses.

System of record
The TMS, WMS or ERP stays authoritative
Exception owners
Every exception has a defined owner
4 workflows
Logistics workflows described here, from exceptions to ETA

Strong candidates

Which logistics processes are strong automation candidates?

Look for high-volume workflows with repeated status checks, documents or messages and a clearly defined exception owner.

Shipment exceptions, proof-of-delivery documents and freight checks tend to live in shared inboxes, where status is checked by hand and nobody is sure who owns an exception. Aviox moves them into traceable workflows connected to the operating systems your control tower already uses.

The approved TMS, WMS, ERP or data platform remains the source of truth. The workflow reads from it and writes back only through controlled operations.

What we measure

  • Exception handling timeTime from an exception being raised to its owner taking action, on one agreed definition.
  • Documents matched automaticallyThe share of POD and freight documents matched to the right record without a person.
  • Integration failuresHow often a connection fails and how visibly the workflow holds the work.

How we automate it

Logistics workflows we can engineer.

Four workflows where documents and exceptions pile up, plus the rule that the system of record stays authoritative.

01 / Detect

Shipment exception triage

Classify exception messages, attach shipment context and route each to its owner.

Owner assignedWith shipment context
02 / Read

POD processing

Read proof-of-delivery documents and match them to the right shipment records.

Matched to recordsLow confidence reviewed
03 / Audit

Freight-invoice audit support

Compare invoices to agreed rates and shipment data and surface differences for review.

Differences shownFor a person to review
04 / Predict

ETA and operations intelligence

Build predictions and operations views where sufficient data exists to support them.

Where data allowsAssessed first
05 / Control

System of record

Use the approved TMS, WMS, ERP or data platform as the source of truth and write back through controlled operations.

Writes controlledTo the system of record
How the work changes: what teams handle today, and what the engineered workflow takes over.
ProcessBeforeAfter
Shipment exception triage Exceptions found in shared inboxes Routed exceptionsMessages classified and sent to their owner with context
POD processing POD documents matched by hand Matched documentsProof-of-delivery documents read and matched
Freight-invoice audit support Invoices checked line by line Surfaced differencesInvoices compared with rates and shipment data
ETA and operations intelligence Status chased by phone Operations viewsPredictions and views built where the data supports them
System of record Data copied between tools Authoritative sourceReads from and writes back to the system of record safely

Products for Logistics

Workflow patterns we build.

Three patterns for logistics teams, each configured to your carriers, formats and systems.

Workflow pattern

Shipment exception triage

Exceptions · Owners · Context

Classify exception messages, attach shipment context and route each to its owner. Configured to your data, rules and systems, with review steps agreed up front.

  • Exception messages classified on arrival
  • Shipment context attached for the owner
  • Changed carrier formats tested before production
Workflow pattern

POD processing

POD · Matching · Review

Read proof-of-delivery documents and match them to the right shipment records. Configured to your data, rules and systems, with review steps agreed up front.

  • Documents matched to shipment records
  • Low-confidence matches routed to a person
  • Missing and duplicate documents tested
Workflow pattern

Freight-invoice audit support

Invoices · Rates · Differences

Compare invoices to agreed rates and shipment data and surface differences for review. Configured to your data, rules and systems, with review steps agreed up front.

  • Invoices compared with agreed rates
  • Differences surfaced for review
  • Results written back through controlled operations

Note These are starting patterns we configure to your data, rules and systems they are not off-the-shelf SaaS See the products Aviox runs itself

Request a quote

Want this workflow in your organisation?

Share the workflow and we will propose a first pilot.

Request a quote

Where logistics work starts.

These are the logistics workflows we are usually asked about, listed as a starting point rather than a promise of payback.

  • 01
    Shipment exception triage
  • 02
    Proof-of-delivery processing
  • 03
    Freight-invoice audit support
  • 04
    ETA and operations intelligence where data supports it
  • 05
    Integration with TMS, WMS and ERP systems
  • 06
    Failure handling for missing scans and broken integrations
Compliance

Designed for exceptions, not only the happy path

Aviox does not certify your organization. We test missing scans, duplicate records, changed carrier formats and integration failures before production, and design workflows with retries, queues and clear failure states so work is held and visible rather than lost.

  • Retries and queues
  • Failure states
  • Access control
  • Audit trail
  • Exception owners

Questions

Before you get started.

Asked most often by logistics, freight and supply-chain teams.

  • Yes, where supported integration methods such as APIs, files or queues are available. The existing system stays the source of truth, and updates are written back through controlled operations.

  • Yes. Document intelligence can read proof-of-delivery documents and match them to shipments, with low-confidence cases routed to a person. Accuracy on poor scans is tested on representative samples.

  • Where sufficient, reliable data exists. We assess the data first, because a prediction is only as dependable as the history and signals behind it.

  • Workflows are designed with retries, queues and clear failure states, so work is held and visible rather than lost, and an exception owner is notified.

  • Yes, it can classify and extract configured fields from documents such as proof of delivery and freight paperwork, with exceptions routed to a named owner.

  • Every exception has a defined owner and a visible state, so nothing sits in a shared inbox waiting for someone to notice.

  • Usually, where supported integration methods exist. Integration scope is confirmed during scoping.

Start a conversation

Map one exception
or POD workflow.

Tell us the messages and documents that pile up and the system they belong in. We will propose a first workflow and how to measure it.

sales@avioxtechnologies.com Reply within one business day · Mutual NDA available on request