AI agents in your industry
Logistics & Transport
A shipment changes. Your operation keeps moving.
A delay needs more than an alert. See how agents can arrange a permitted alternative, keep shipment records aligned and improve the handling of operational exceptions.


Related customer story · Procurement
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- Supplier risk
- Buyer decisions
- Evidence attached
Novagentica in action
Work your team will recognise.
Explore what could change in the work, and which decisions your people keep.
Example · Transport operations
A shipment is delayed. The alternative is already booked.
Give an agent room to respond before the delay becomes the customer’s problem.
The situation
A delivery disruption arrives. Operations needs to find an alternative carrier or service, check the new cost and update the booking while the delivery window is still recoverable.
With Novagentica
An agent compares available approved options. If the alternative meets your carrier, service and cost rules, it can update the booking autonomously. Only an exception goes to the dispatcher for a decision.
From the signal to the result
The starting point
Delivery disruption received
Within agreed rules
Approved alternatives compared
Within agreed rules
Booking changed within authority
The result checked
Transport record read back & checked
The result is checked
The transport record is read back to check carrier, service, date and authorised cost.
Routine disruption can be handled as it happens, while operations focuses on the decisions only it can make.
Example · Shipment visibility
One shipment changes. Every team needs the same picture.
Make the operational update visible where people do the work.
The situation
A shipment event changes the delivery picture, but service and operations records can lag behind. Teams then spend time reconciling updates instead of working from the same information.
With Novagentica
An agent uses trusted events to prepare permitted shipment-status updates and related service tasks. It applies the allowed changes, then compares the records across the agreed systems and flags discrepancies.
From the signal to the result
The starting point
Trusted shipment event received
Within agreed rules
Allowed changes prepared
Within agreed rules
Shipment & service records updated
The result
Records compared & differences flagged
The result is checked
The changed shipment records and follow-up tasks are checked across the connected systems in scope.
People can respond to the latest agreed shipment information with fewer manual corrections.
Example · Operational improvement
The same exception keeps coming back. Find out why.
Improve the agent behind the queue, as well as the case in front of it.
The situation
An agent already helps route or resolve operational exceptions. The team sees repeated work, but needs to understand whether it comes from poor proposals, missing controls or unclear ownership.
With Novagentica
The benchmarks use representative exception cases to review the agent’s routing and resolution proposals. Findings become targeted changes with clear acceptance criteria. The revised agent is retested before the next release decision.
From the signal to the result
The starting point
Representative exceptions reviewed
Within agreed rules
Causes & gaps identified
Within agreed rules
Targeted changes applied
The result
Revised agent retested
The result is checked
Retests compare proposal quality, control coverage and the gaps still open.
Repeated exceptions become evidence for improving the workflow, rather than another round of the same work.
Already using agents?
Find out where they need work.
Start with an assessment of their controls or what they need to be more useful.

START WITH YOUR BUSINESS
Let’s look at a task in your business.
Bring an agent you already use or a task you want to improve. We’ll work through the rules, systems and result checks it would need.