Trigger
Define the email, document, system event or milestone that creates the work.
Shipflow AI Operator Platform
Shipflow AI Operators execute and monitor logistics workflows across Ocean, Air and Road—using your existing systems and following your SOPs.
Enterprise AI automation built specifically for global logistics
Designed around completion
An AI Operator turns an incoming request into completed work: reading the documents, gathering shipment context, acting across systems and checking the result.
When a decision needs judgment, it brings the evidence and next step to the right person.
See how AI agents work in logisticsDeploy
Shipflow begins with a workflow your team already performs. Together, we translate its SOP, systems, decisions and exception paths into a clear operating boundary for the AI Operator.
Define the email, document, system event or milestone that creates the work.
Agree on the system record, confirmation or evidence that proves the work is finished.
Specify the information and systems the AI Operator may access and the actions that require approval.
Name the exception owner, pause authority and manual continuation path.
Representative normal cases, exceptions and system responses are reviewed before the agreed workflow moves into production.
Explore enterprise deployment: timeline, responsibilities and rolloutConnected execution
Connect the work across your inboxes, portals and core systems without replacing them.
Execute
The AI Operator keeps the full workflow connected, including what happened before an action and the evidence needed to confirm the result.
Identify the request, document, milestone or exception that starts the workflow.
Retrieve the relevant shipment, customer, communication, document and policy information.
Determine whether the case is eligible to proceed and which operating rules apply.
Send a response, update a record or complete the next task in your connected systems.
Confirm what the receiving system or external party actually accepted.
Record the completed outcome, or route an exception to the responsible person.
Monitor & collaborate
See what came in, what is running, what finished and what needs attention. Follow the execution record to understand each outcome.
Govern
Reading a request, preparing a response, updating a record and sending an external commitment are separate permissions. Your team chooses the right boundary for each action.
Explore security and control50+ logistics use cases
These eight workflows are popular starting points across Shipflow customers. Choose the repetitive work taking the most time from your team.
Mode-aware execution
The control model stays consistent while each workflow preserves the documents, milestones, parties and exceptions of its transport legs.
Explore all modesRun global ocean freight operations on AI Operators that manage bookings, execution and disruptions at enterprise scale.
Explore Ocean 02Power time-critical air freight operations with AI Operators that execute faster and resolve exceptions before they escalate.
Explore Air 03Operate high-volume trucking networks with AI Operators that coordinate pickups, changes and exceptions in real time.
Explore Road 04Connect shipment updates, documents and partner follow-up across rail, terminal and road handoffs.
Explore Rail & IntermodalWork with your existing stack
Shipflow scopes each integration around the actual workflow, product, interface and permissions available—including custom-built and in-house systems.
Shipment and transportation records
Requests, attachments and replies
Customer and opportunity context
Pricing inputs and benchmarks
Proprietary tools and portals
Customer evidence
Shipflow evaluates operational outcomes within the agreed workflow scope—not broad or unqualified automation claims.

Booking automation
99%+Document comparison
97%+
Track and Trace
100%Operating model
Explore practical guidance for turning individual AI tasks into controlled, measurable operational workflows.
Platform questions
An AI Operator is software that carries a workflow from request to completion. It gathers context, follows your SOP, acts across connected systems, verifies the result and escalates exceptions to your team.
No. Shipflow adds a controlled execution layer across the systems your operation already uses. The exact connections, permissions and supported actions are agreed for each deployed workflow.
Your team defines authority at the action level. An AI Operator can observe, prepare, execute or escalate based on configured permissions, approval requirements and exception rules.
Start with a frequent, rules-based workflow that has clear inputs, a measurable definition of completion and a known exception owner. Shipflow maps the workflow and its operating boundary before deployment.
Start with one workflow
Map its inputs, systems, decisions, approval boundaries and definition of completion with Shipflow.
Design your first AI Operator