Trigger
Define the email, document, system event or milestone that creates the work.
Shipflow AI Operator Platform
Shipflow is an enterprise AI Operator platform for logistics companies. It executes and monitors defined workflows across Ocean, Air and Road using existing systems, configured SOPs, permissions and human escalation.
Enterprise AI automation built specifically for global logistics
Designed around completion
An AI Operator observes an operational trigger, gathers the relevant context, takes permitted actions across systems, verifies the result and returns exceptions to the right person.
It connects individual AI capabilities—reading documents, interpreting emails, applying rules and preparing actions—into a workflow with a defined operational outcome.
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.
Connected execution
Shipflow adds controlled execution across the systems and channels your team already uses. It does not require you to replace the systems of record your operation depends on.
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.
Complete configured work through an inbox, portal, TMS or another connected system.
Confirm what the receiving system or external party actually accepted.
Record the completed outcome, or route an exception to the responsible person.
Monitor & collaborate
Operations teams can review work received, work in progress, completed outcomes and exceptions within the deployed workflow. The execution record shows what happened and supports operational review.
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. Each is configured around the operation, systems, decision boundaries and definition of completion.
Mode-aware execution
The control model stays consistent while each workflow preserves the documents, milestones, parties and exceptions of its transport mode.
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 roadWork 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 configured to observe an operational trigger, gather the relevant context, apply an SOP, take permitted actions across systems, verify the result and return exceptions to the right person.
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