Why Car Haulers Need a Specialized TMS for Finished Vehicle Logistics

Customer onboarding can include interfaces, order formats, price matrices, document templates, delivery proof requirements and workflow differences. LogiSense supports flexible workflows and configuration approaches that help incorporate customer-specific requirements faster and without long development cycles.

This includes integrations with customers, OEMs, compounds, surrounding business systems and telematics platforms where required. Our template engine makes it easy to configure invoices, documents, checklists, numbering schemes and much more. The agreed service components of an order can be configured with our workflow engine, so that services beyond transport, email sending and other operational steps can also be configured.

Transport orders enter the system through different channels, either manually or via interfaces, and in different formats. LogiSense supports structured order entry with generated transformation scripts and AI-supported order recognition.

For example, a user can copy and paste a transport order email into the system or connect their Outlook account. The AI then identifies the relevant data, such as customer, contract, service, VIN and other order details. The user reviews the result and can create the transport order with one click.

This reduces manual entry while keeping the user in control.

Finished vehicle logistics billing often depends on more than a simple rate per kilometre or shipment. Contracts may include price matrices by model, load class, billing category, service type, route, surcharge logic or customer-specific conditions.

LogiSense is designed to reflect this contract and service logic as part of the operational workflow, so that order intake, dispatch, documentation and billing preparation are connected.

In finished vehicle logistics, transport planning depends on the status of every single vehicle. A vehicle may be physically available but not yet released, for example because it is financially blocked, has commercially unacceptable damage or requires repair. It may also have a target delivery date or a special delivery process.

LogiSense creates VIN-based visibility and informs planners about all vehicle statuses that are relevant for load building and execution.

Car hauler dispatch is not the same as assigning a generic shipment to a truck. Dispatchers need to combine multiple VINs into feasible and efficient loads while considering truck capacity, routes, pickup and delivery sequences, driver availability, customer priorities and vehicle-specific restrictions.

LogiSense supports the dispatch process and can integrate proven load-building optimization, such as INFORM’s LoadBuilder AI, to help improve truck utilization and routing — especially in larger fleets where manual optimization becomes increasingly difficult.

Execution depends on clear communication between dispatchers, drivers, compounds, customers and sometimes end customers.

LogiSense supports driver execution through its own Driver App and can additionally interface with common on-board unit and telematics systems such as WebFleet, Spedion, Fleetboard and similar platforms.

This allows carriers to combine structured finished vehicle logistics workflows with existing fleet communication infrastructure.

Finished vehicle logistics requires more detailed status and exception handling than many standard freight workflows.

Drivers must be able to capture damage information in the app, and that information may need to be translated into OEM-specific codes. Ad-hoc hold changes from the OEM also need to be processed as quickly as possible and considered in planning and execution.

The way damage is handled, and how well pre-existing damage is documented, can make a significant financial difference. In the damage claim process, the responsible parties for a damage event are identified across the parties involved, and the corresponding invoices or compensation payments are triggered and tracked.

Additional requirements may also apply, for example for high & heavy vehicles, used vehicles, special delivery processes to end customers or handover documentation.

LogiSense makes these specialist requirements part of the workflow instead of leaving them in notes, emails or spreadsheets.

Documents play a central role in finished vehicle logistics: delivery proof, damage documentation, customer forms, handover records and invoice attachments.

LogiSense supports document handling and AI-assisted extraction of relevant fields from imported documents. This turns unstructured information into usable operational data quickly and efficiently. The template engine makes it easy to set up customer-specific document templates.

Customer service teams often need to answer questions such as:

• Where is this VIN?
• Has this load been delivered?
• Why is this vehicle delayed?
• Is the required documentation available?
• What is the status of a batch of vehicles?

For these and many other questions, the LogiSense AI Assistant helps find answers, trigger operational actions and draft replies to customer emails - directly using real data from the system, such as available VIN, status and order data.

This is where AI becomes practical: not as a separate chatbot, but as support directly inside the transport workflow, for internal planners, dispatchers and service teams, and also directly in the customer portal.