01Assist
AI copilot
Drafts, summarizes and recommends while a person remains responsible for moving the workflow forward.
Best when the operator wants help at a specific step.Category guide
AI Agents for Logistics That Execute the Work.
Shipflow AI Operators are enterprise AI agents for logistics. They execute and monitor defined workflows across email, documents, TMS platforms, carrier portals and customer systems—while following configured SOPs and escalating decisions that require human judgment.
- Configured to your SOPs
- Connected to existing systems
- Human control built in
From category to productionA practical definition
Market categoryLogistics AI agent
Understands context and can take action.
Shipflow operating modelAI Operator
Executes a governed workflow to a defined outcome.
- 01ObserveEmail, document or system event
- 02DecideSOP, context and permission boundary
- 03ActPermitted system or communication step
- 04VerifyComplete the outcome or escalate
Enterprise AI automation built specifically for global logistics
3 modesOcean, Air and Road
50+logistics use cases supported
Millionsof transactions handled every month
The short answer
What is an AI agent in logistics?
An AI agent in logistics is software that can interpret operational context, determine the next permitted step, take action through connected systems, and verify or escalate the outcome. Shipflow calls its production operating model an AI Operator because it is configured around a complete logistics workflow—not an isolated prompt or task.
Agentic AI, defined
What does agentic AI mean in logistics?
Agentic AI for logistics describes systems that interpret operational context, determine the next permitted step, take action through connected tools and continue until the workflow reaches a verified outcome or requires human judgment. Production use requires more than model capability: the workflow also needs configured SOPs, system permissions, completion criteria, exception handling and a recovery path. Shipflow brings those elements together in its AI Operator model.
- 01Context
- Use the relevant shipment, customer, communication and policy information.
- 02Authority
- Act only through approved systems and within configured permission boundaries.
- 03State
- Track what happened, what is waiting and what evidence proves completion.
- 04Recovery
- Stop and return the case to the right person when judgment or intervention is required.
Choose the right operating model
Assistance, repetition and execution are different jobs.
These approaches can work together. The important question is who—or what—owns the next operational step and how that authority is controlled.
02Repeat
Rules-based automation
Follows a stable sequence when inputs, decisions and system behavior are predictable.
Best for deterministic work with limited variation.03Execute
Shipflow AI Operator
Connects context, decisions and permitted actions across a defined logistics workflow, then completes or escalates it.
Best for repeatable work that still contains operational context and exceptions.How execution works
From operational trigger to verified completion.
A logistics AI agent becomes operationally useful when each step is connected to the context, authority and evidence required by the workflow.
- 01
Detect the work
Identify the request, document, milestone or exception that starts the workflow.
- 02
Gather the context
Retrieve the relevant shipment, customer, communication, document and policy information.
- 03
Apply the SOP
Determine whether the case is eligible to proceed and which operating rules apply.
- 04
Take the permitted action
Complete configured work through an inbox, portal, TMS or another connected system.
- 05
Verify the result
Confirm what the receiving system or external party actually accepted.
- 06
Complete or escalate
Record the completed outcome, or route an exception to the responsible person.
50+ logistics use cases
Start where repetitive work has a measurable outcome.
These eight workflows are common quick wins across Shipflow customers. Every deployment is configured around the operation’s inputs, systems, decisions and definition of completion.
01
Quotation automation
Handle quotation inquiries 24/7—calculate rates from your data and deliver accurate, up-to-date responses in seconds.
Explore workflow02
Booking automation
Read booking emails and forms, extract and validate shipment details, and create bookings directly in your TMS.
Explore workflow03
Document automation
Process logistics documents, extract and validate shipment data, compare related files and enter approved information into your TMS.
Explore workflow04
Tender automation
Automate customer tenders and supply tenders—prepare customer responses, compare carrier bids and manage approved rates.
Explore workflow05
Track and Trace
Run configurable shipment checks across pre-pickup, pickup, in-transit and delivery—then sync confirmed milestones to your TMS and escalate exceptions.
Explore workflow06
Invoice processing
Capture carrier and vendor invoices, match charges against shipment records and expected costs, post eligible invoices and route discrepancies for review.
Explore workflow07
Carrier sourcing and coordination
When a quote arrives, shortlist carriers and collect rates. Once a carrier is booked, chase shipment status and sync the updates to your TMS.
Explore workflow08
Exception management
Detect shipment exceptions, assemble the operational context, coordinate the next action across teams, carriers and customers, and escalate decisions under your rules.
Explore workflowBuilt around the operation
One execution model. Different logistics contexts.
The control model stays consistent while each workflow preserves the documents, milestones, parties, systems and exceptions of its mode and operating organization.
Modes
Ocean, Air and Road
Logistics organizations
Configured for the team doing the work
Human control
Autonomy is set at the action level.
Reading a request, preparing a response, updating a record and sending an external commitment are separate permissions. Your team decides the appropriate boundary for each action.
Explore security and governanceConnected execution
Work through the systems your operation already uses.
Shipflow scopes each connection around the workflow, product, available interface and permissions—including custom-built and in-house systems.
TMS & ERP
Shipment and transportation records
Requests, attachments and replies
CRM
Customer and opportunity context
Market rates
Pricing inputs and benchmarks
Internal systems
Proprietary tools and portals
Customer evidence
AI agents measured against deployed logistics work.
Shipflow evaluates results within the agreed workflow scope, with the completion criteria and human exception path defined for the deployment.
Booking automation
99%+Touchless booking completion rate
This result applies to the deployed booking workflow. Results depend on workflow scope, input quality and deployment configuration.Read the case study
Document comparison
97%+Less time spent on document comparison
This result applies to the deployed MBL/HBL comparison task. Results depend on workflow scope, document 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 studyEnterprise deployment
Put the workflow in production—not just the model.
Most Shipflow enterprise deployments move from workflow discovery to production in one to three months. Timing depends on the workflow, system access, data, security review and internal validation.
See the complete platform model- 01
Choose a measurable workflow
Start with frequent work that has recognizable inputs, a clear definition of completion and a known exception owner.
- 02
Map the operating boundary
Define the SOP, systems, decisions, permitted actions, approvals and escalation paths that govern execution.
- 03
Connect and validate
Test representative normal cases, exceptions and system responses with the people who own the operation.
- 04
Deploy and measure
Move the agreed workflow into production, monitor outcomes and expand only after the operating boundary is proven.
Operational guidance
Design the workflow before deciding the autonomy.
Explore firsthand guidance for choosing, governing and scaling AI-agent workflows in enterprise logistics operations.
Questions, answered
What logistics leaders need to know about AI agents.
What is an AI agent in logistics?+
An AI agent in logistics interprets operational context, determines the next permitted step, takes action through connected systems, and verifies or escalates the outcome. It can work across emails, documents, TMS platforms, carrier portals and other operational tools when those connections and permissions are configured.
How is a Shipflow AI Operator different from an AI agent?+
AI agent is the broad market category. A Shipflow AI Operator is an enterprise logistics AI agent configured around a defined end-to-end workflow, including its SOP, system access, action permissions, approval points, completion criteria and human escalation path.
What is agentic AI in logistics?+
Agentic AI in logistics interprets operational context, determines the next permitted step, acts through connected systems and continues until the workflow reaches a verified outcome or requires human judgment. Production agentic AI also needs configured SOPs, permissions, completion criteria, exception handling and a recovery path.
Which logistics workflows can AI agents automate?+
Common starting points include quotation, booking, document processing, customer and supply tendering, Track and Trace, invoice processing, carrier sourcing and coordination, and exception management. Shipflow supports more than 50 logistics use cases across Ocean, Air and Road, with the exact scope configured for each operation.
Can logistics AI agents follow our existing SOPs?+
Yes. Shipflow AI Operators are configured around existing workflow steps, decision rules, system permissions, approval requirements and escalation logic. Different SOPs can be managed at company, office and team levels where operating requirements differ.
Do AI agents replace our TMS or other core systems?+
No. Shipflow adds a controlled execution layer across the systems the operation already uses, including TMS, ERP, email, CRM, carrier portals, market-rate sources and internal systems. The available connection method and permitted actions are confirmed for each workflow.
How do teams control Shipflow AI Operators?+
Teams define whether an AI Operator may observe, prepare, execute or escalate each action. Shipflow dashboards provide visibility into workflow status, context, actions, approvals, exceptions and outcomes so authorized users can monitor and manage the deployed work.
How long does deployment take?+
Most enterprise deployments move from workflow discovery to production in one to three months. Timing depends on workflow complexity, system access, data availability, security review and how quickly internal stakeholders can validate the SOP. Shipflow can move faster when the scope and required access are ready.
Start with one workflow
Turn repeatable logistics work into a controlled AI Operator.
Map the inputs, systems, decisions, approval boundaries and definition of completion with Shipflow.
Design your first AI Operator