Can AI do outbound shipment and in-transit exception handling?

An expert breakdown of a typical process from public sources, worked out by the same rules as your own check.

2 of 9 steps go to an agent

Goes to an agent (2)

An agent does these steps on its own.

Plan the load and the route
An agent can do this step alone: everything it takes is a strong suit of AI.
- Rule-based classification and routing
In-transit monitoring: milestones, ETA, temperature regime
An agent can do this step alone: everything it takes is a strong suit of AI.
- Checking against a reference and finding discrepancies

AI prepares the work; a person reviews and confirms it.

Release the order and consolidate it into a shipping unit
A person confirms it: the step changes something outside the company.
Prepare the documents (BOL, packing list, ASN, export papers)
A person signs off: the step needs a formal approval.
Hand over to the carrier and set the status in the TMS
A person signs off: the step needs a formal approval.
Communicate the exception to the customer and the carrier
A person confirms it: the step changes something outside the company.
Receive the POD, close the shipment, freight audit and claim
A person signs off: the step needs a formal approval.

These steps need a person's judgement or presence.

Select the carrier and book by rate, transit time and reliability
Stays with people: it takes judgement that depends on your business context.
- Judging risk or priority in a business context
Exception handling: delay, damage, misroute, customs hold
Stays with people: it takes judgement that depends on your business context.
- Judging risk or priority in a business context

1 step outside what AI can work on

Physical work, or nothing AI could apply itself to. These steps count in no figure.

Load, count the pieces, seal
Stays with people: someone has to be there in person.
- Instrumental reading of a value from an object
- Physical action on an object

Describe it in your own words and get the same breakdown in about a minute.