Connect customer requests, carrier communication and shipment execution across the systems your team already uses. AI Operators handle repeatable work while brokers keep control of pricing, carrier decisions and customer commitments.
Customer demand, carrier capacity and shipment execution around each load.
Works across
TMS, email, approved carrier networks, rate sources and internal tools.
Completes with
A verified load workflow—or a focused decision for the responsible broker or operator.
The operational opportunity
Connect the work around every load.
A freight brokerage coordinates demand, capacity, shipment execution and customer communication across people and systems. Quote requests arrive through email, rates come from multiple sources, carrier replies require follow-up, and milestones, documents and invoices must reach the correct TMS record.
Shipflow AI Operators are logistics AI agents configured to turn those repeatable handoffs into controlled workflows. They gather the relevant context, apply your operating rules, take permitted actions and return exceptions to the responsible person. Your TMS remains the system of record.
Pricing strategy, carrier eligibility, carrier selection and customer commitments remain distinct decisions. The workflow can prepare the information around those decisions without silently combining them into one automated action.
Where AI Operators work
From customer request to operational closeout.
Connect the repetitive steps around a load while keeping commercial judgment, carrier governance and exception ownership with the brokerage team.
01
Prepare customer quotations
Structure the lane, dates, cargo, equipment and service requirements, check applicable approved rate inputs and prepare the customer quotation under your commercial rules.
Trigger
A customer quote request arrives through an agreed channel.
Completed outcome
Comparable carrier inputs and a customer quotation are prepared under the commercial rules, or the pricing owner receives an exception.
From an emailed quote request to documented delivery.
A shipper emails an FTL request with the route, pickup date, equipment and cargo details. No applicable current rate is available.
01
Receive the request
The AI Operator structures the shipment requirements and follows the agreed clarification process for any missing field.
02
Source the rate
It contacts the approved carrier shortlist, records each outreach attempt and organizes the replies into comparable rate, availability and service conditions.
03
Prepare the decision
The broker reviews the options, owns the customer price and authorizes the carrier decision. Rate collection itself does not select or book a carrier.
04
Track execution
After booking, the operator runs the configured milestone cadence, records confirmed updates and escalates late or unanswered cases.
05
Complete the record
The POD is matched to the load. An unexpected detention charge on the invoice is sent to review with the expected cost and shipment evidence.
This example connects multiple Shipflow capabilities. Each deployment defines its own systems, recipients, fields, actions and approval boundaries.
Human control
Automate the repeatable work. Keep judgment with your team.
01
Rate collection is not pricing
The operator can collect and structure carrier inputs; your team owns the customer price and margin decision.
02
A shortlist is not carrier approval
Carrier eligibility, onboarding, safety and compliance controls remain governed by your policies and systems.
03
A forecast is not a milestone
The workflow distinguishes reported expectations from confirmed pickup, transit and delivery events.
04
Invoice matching is not payment
Restricted finance actions and unexpected charges remain with authorized reviewers.
Define the useful outcome and its denominator before deployment. A sent message, attempted call or extracted field is activity; it is not proof that the workflow finished correctly.
Representative measures
Time to a usable customer quotation
Manual touches per load
Milestones confirmed within the expected window
Time from carrier response to permitted TMS update
PODs matched without manual rekeying
Invoice discrepancies delivered with complete context
Common questions
Before you put an AI Operator to work.
How can AI agents help a freight brokerage?
AI agents can handle repeatable steps such as structuring quote requests, collecting carrier rates, creating permitted TMS records, following up on shipment milestones, processing documents and preparing invoice reviews. Shipflow connects those steps into controlled AI Operator workflows.
Does Shipflow replace our TMS?
No. Shipflow adds controlled execution around the TMS and other systems your brokerage already uses. The records, fields, permissions and supported actions are agreed for each workflow.
Can Shipflow contact carriers by email or phone?
Yes, through configured email and supported phone workflows. Your team defines approved recipients, contact hours, information-sharing rules, follow-up cadence and actions requiring approval.
Does Shipflow automatically choose or book carriers?
Shipflow can shortlist carriers from an approved network and collect comparable rate and availability responses. Carrier approval, commercial selection and booking remain separate decisions governed by your policies.
Can Shipflow automate tracking, POD collection and carrier invoices?
These can be configured as connected or separate workflows. The operator can collect status updates and documents, update permitted TMS fields and prepare invoice matches. Unclear information and restricted financial actions go to the responsible person.
Where should a freight brokerage start?
Start with a frequent workflow that has clear inputs, a measurable completion point and a known exception owner. Carrier rate collection, load entry, Track and Trace, POD collection or carrier invoice review can each provide a bounded first scope.