Shipflow AI Operator Platform

The AI Operator platform for enterprise logistics.

Shipflow AI Operators execute and monitor logistics workflows across Ocean, Air and Road—using your existing systems and following your SOPs.

  • Follows your SOPs
  • Connected to your existing systems
  • Human approval and escalation built in
Operations controlIllustrative platform view
Operators active
  • Booking OperatorOcean booking request
    Executing
  • Document OperatorMBL / HBL comparison
    Completed
  • Track & Trace OperatorDelivery milestone
    Needs review
Current stepApply booking SOP
  1. Request received
  2. Shipment context gathered
  3. Booking checks in progress
  4. Complete or escalate

Enterprise AI automation built specifically for global logistics

Multi-modeconnected logistics workflows
50+logistics use cases supported
Millionsof transactions handled every month

Designed around completion

More than a copilot.
An operator built to complete the workflow.

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 logistics

Deploy

Start with the operation.
Define the boundary.

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.

01

Trigger

Define the email, document, system event or milestone that creates the work.

02

Completion

Agree on the system record, confirmation or evidence that proves the work is finished.

03

Authority

Specify the information and systems the AI Operator may access and the actions that require approval.

04

Recovery

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 rollout

Connected execution

One execution layer across your logistics operation.

Connect the work across your inboxes, portals and core systems without replacing them.

Operational inputs

Work arrives in context.

  • Email and messages
  • Documents and forms
  • TMS and ERP records
  • Portal and shipment events
AI Operator

Rules become execution.

  • Logistics context
  • Your SOPs
  • Workflow state
  • Permission boundaries
Authorized outcomes

Work moves to completion.

  • Complete operational tasks
  • Update shipment records
  • Coordinate with customers and partners
  • Escalate for human review
Human control and operator visibilityScoped accessApprovalsException policyExecution record

Execute

From operational trigger to verified completion.

The AI Operator keeps the full workflow connected, including what happened before an action and the evidence needed to confirm the result.

  1. 01

    Detect the work

    Identify the request, document, milestone or exception that starts the workflow.

  2. 02

    Gather the context

    Retrieve the relevant shipment, customer, communication, document and policy information.

  3. 03

    Apply the SOP

    Determine whether the case is eligible to proceed and which operating rules apply.

  4. 04

    Carry out the next step

    Send a response, update a record or complete the next task in your connected systems.

  5. 05

    Verify the result

    Confirm what the receiving system or external party actually accepted.

  6. 06

    Complete or escalate

    Record the completed outcome, or route an exception to the responsible person.

Monitor & collaborate

Measure completed work—not just AI activity.

See what came in, what is running, what finished and what needs attention. Follow the execution record to understand each outcome.

  • Eligible workflow volume
  • Touchless completion
  • Elapsed and active handling time
  • Exceptions and corrections
  • Service-level outcomes
Execution recordIllustrative platform view
Needs review
Workflow
Track & Trace
Current state
Exception routed
Reason
Response falls outside your SOP tolerance
Evidence
Shipment record, latest message and actions attempted attached
Next action
Operations owner reviews the proposed recovery path

Govern

Set authority at the action level.

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 control
01

Observe

Gather context without changing an external system.

02

Prepare

Assemble an action or response for a person to review.

03

Execute

Complete an action permitted by policy and verify the result.

04

Escalate

Stop and return cases requiring judgment to the team.

50+ logistics use cases

Start with a proven quick win. Expand on one control layer.

These eight workflows are popular starting points across Shipflow customers. Choose the repetitive work taking the most time from your team.

Explore all use cases

Work with your existing stack

Connect the systems your operations already run on.

Shipflow scopes each integration around the actual workflow, product, interface and permissions available—including custom-built and in-house systems.

TMS & ERP

Shipment and transportation records

Email

Requests, attachments and replies

CRM

Customer and opportunity context

Market rates

Pricing inputs and benchmarks

Internal systems

Proprietary tools and portals

Explore integration categories

Customer evidence

Measured against deployed workflows.

Shipflow evaluates operational outcomes within the agreed workflow scope—not broad or unqualified automation claims.

Booking automation

99%+

Eligible requests completed touchlessly within the deployed workflow

This result applies only to eligible requests within the defined booking workflow deployed with Dimerco—not to Dimerco’s wider booking operations. Results depend on workflow scope, input quality and deployment configuration.Read the case study

Track and Trace

100%

Of Track & Trace automated with Shipflow

This result applies to ColliCare’s deployed Track & Trace workflow. Results depend on workflow scope, source availability and deployment configuration.Read the case study
Explore customer outcomes

Operating model

Design the workflow before deciding the autonomy.

Explore practical guidance for turning individual AI tasks into controlled, measurable operational workflows.

Explore AI Operators by logistics operation

Platform questions

What operations leaders need to know.

What is an AI Operator?+

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.

Does Shipflow replace our TMS or other core systems?+

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.

How does Shipflow keep people in control?+

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.

Where should we start?+

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

Turn the work your team repeats every day into a controlled AI Operator.

Map its inputs, systems, decisions, approval boundaries and definition of completion with Shipflow.

Design your first AI Operator