Who we serve · Full truckload carriers
Execute repetitive work around active full truckload loads—from milestone follow-up and TMS updates to POD and BOL handling, exception coordination and defined invoice workflows.
The operational opportunity
An FTL load can be moving while the information around it remains fragmented. Pickup readiness, in-transit ETA, delivery confirmation, POD receipt and invoice review may be spread across email, calls, documents and TMS records.
Operations teams reconnect that information through repeated follow-up and data entry. They contact drivers or dispatchers, determine which update belongs to which load, record confirmed milestones, collect documents and assemble the context needed when something does not go to plan.
A Shipflow AI Operator is a logistics AI agent configured to connect those defined steps. It observes a workflow trigger, gathers the permitted load context, follows the configured SOP, performs approved communication and system actions, verifies the outcome and escalates cases that require judgment.
Shipflow adds an AI execution layer around defined operational workflows. It does not plan or optimize routes, assign drivers, optimize dispatch decisions or manage fleet assets.
Where AI Operators work
Each workflow defines its trigger, permitted actions, completion condition and exception owner before the AI Operator is put to work.
Run the configured pre-pickup, pickup, in-transit and delivery cadence across approved driver or dispatcher contacts.
Follow the approved contact sequence, preserve each attempt and route urgent signals or final no-response cases with complete load context.
Collect delivery documents, match them to the correct load, validate agreed fields and enter approved information into the permitted TMS record.
Identify shipment instructions, status updates, documents or change requests and connect the approved information to the right load.
Capture charges from in-scope vendor invoices, match them to load and expected-cost records, and apply configured duplicate and tolerance rules.
Illustrative FTL workflow
The afternoon before a scheduled pickup, an active load reaches its first configured checkpoint and does not have an authoritative readiness update.
The AI Operator sends the approved readiness request to the designated contact and records the attempt against the load.
The driver does not respond, so the operator waits the configured period and contacts the dispatcher through the next approved channel.
The dispatcher reports a late arrival that crosses the defined threshold. The owner receives the load reference, reported update, communication history and decision required.
Once pickup is confirmed, the permitted TMS field is updated with its source. A forecast alone is not recorded as a completed pickup.
After delivery, the POD is collected, matched and validated. Missing or conflicting information is routed to review rather than accepted silently.
Timing, contacts, system actions and exception thresholds are illustrative. Each deployment follows the carrier’s SOPs and available system access.
Human control
Your team defines approved recipients, channels, hours, waiting periods and the point where no response escalates.
The workflow distinguishes driver or dispatcher reports, forecasts and confirmed milestones.
Reading, preparing, sending and changing a TMS record are separate permissions.
Customer commitments, material charges and policy exceptions remain with authorized people.
Connected operations
Shipflow connects approved communication, documents and TMS actions around a defined operational result. Access to one workflow never implies unrestricted system access.
Load context, permitted milestones, document status and expected costs.
Driver, dispatcher, customer and internal communication included in the SOP.
Configured outreach, response capture and escalation—not unrestricted calling.
POD, BOL and other files included in the agreed workflow scope.
Custom-built tools with an appropriate interface and permission model.
Operational measurement
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.
Common questions
It is software configured to execute and monitor a defined full truckload workflow. A Shipflow AI Operator observes an agreed trigger, gathers the permitted load context, follows your SOP, performs approved communication or system actions, verifies the result and escalates exceptions.
No. Shipflow adds controlled execution around the systems your team already uses. The records, fields, permissions and supported actions are agreed for the specific deployment.
No. This solution does not provide route optimization, driver assignment, dispatch optimization or fleet management. It focuses on repetitive operational execution around shipment status, communications, documents, exceptions and defined system updates.
Yes, through the email and supported phone workflows configured for the deployment. Your team defines recipients, contact hours, information-sharing rules, follow-up cadence and escalation conditions.
The operator follows the configured no-response sequence. After the final attempt—or immediately when an urgent trigger appears—it escalates with the load reference, contact history, issue and next action required.
Yes, when document sources, load-matching rules, required fields, validation checks and destination actions are included in the deployment. Unreadable, incomplete or conflicting documents follow the exception path.
Start with work that is frequent, repeatable and supported by clear inputs, system records and exception rules. Bring the current SOP, representative cases, required TMS fields, approved channels and named exception owners.
Start with one controlled workflow
Map the trigger, systems, actions, exception paths and definition of completion with Shipflow.
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