SAN DIEGO – Trimble is bringing AI-agent capabilities and browser-based workflows to four of its established carrier transportation management systems, allowing customers to modernize their operations without abandoning the platforms they already use.
Announced Monday at Trimble’s Insight 2026 conference, the updates cover Innovative, TruckMate, TMW.Suite and Fuel Dispatch. The company said carriers can access the new capabilities as software updates, with no platform migration required.
The TMS enhancements were part of nearly 20 new features and upgrades presented at the conference, covering areas ranging from in-cab navigation and private-fleet planning to shop maintenance, yard operations and Trimble’s Arc Agent AI platform.
“Our mission is to bring innovation directly into customer workflows without forcing disruptive platform overhauls,” said Michael Kornhauser, sector vice president of Transportation & Logistics at Trimble, in the company’s announcement.
Kornhauser argued during the conference that modernizing a TMS has traditionally involved considerable operational disruption. Companies have had to manage organizational change, move data, replace integrations and prepare employees for new systems. That challenge is particularly significant because a TMS sits at the heart of a carrier’s operation and often contains years of configurations and operational history.
What changes across the four carrier TMS platforms
The four systems are receiving different browser-based capabilities tailored to their existing workflows.
Innovative is moving toward a browser-based workflow with more visual planning capabilities.
For TruckMate, the day-to-day workflow used by customer service representatives is now available through a cloud-hosted, mobile-responsive web interface that operates alongside the carrier’s existing TruckMate environment. Trimble said this approach keeps the customer’s existing data, history and workflows in place.
TMW.Suite is gaining a browser-based back-office billing view that brings details, charges, pay information and references together on a single screen.
For Fuel Dispatch, the update focuses on the dispatcher’s daily workflow, including inventory visibility, order taking, shift planning and load assignments for drivers.
Behind these new interfaces, Trimble has also developed APIs designed to make the systems easier to integrate. The company has added an MCP, or Model Context Protocol, layer, which Kornhauser described as a secure and standardized mechanism allowing AI agents to access the appropriate tools and information within a TMS.
Trimble said the updates require TMW.Suite v2024.5 or later, TruckMate v26.3 or later, Innovative v2025.3 or later, and Fuel Dispatch v2024.5 or later.
Trimble TMS, the company’s cloud-native truckload platform launched at last year’s Insight conference, remains available for growing North American carriers as well as small and midsize operators.
Trimble frames AI as an operational transformation
The company used a historical analogy during its keynote to explain its approach to AI.
Rob Painter, president and CEO of Trimble, pointed to factories that replaced steam engines with electric motors. Productivity, he said, remained largely stagnant for almost 30 years because businesses simply installed the new motors within existing engine rooms and continued operating with the same belts and pulleys.
“Today, AI is our electric motor. And the trap that every company faces today is the same: bolting a new power source onto an old operational architecture,” Painter said. “Using AI to speed up the same tasks and the same legacy processes and wondering why the gains are marginal.”
The new TMS capabilities are intended to apply that lesson directly to the software carriers already have in place, rather than requiring them to replace their existing operational architecture.
Arc Agent adds Intelligent RFQ Builder
Trimble also highlighted new capabilities for Arc Agent, its AI agent platform launched in August.
Painter said Arc was designed within Trimble’s transportation network, which he described as covering more than 1 million trucks and more than $60 billion in freight.
Rather than functioning as multiple separate AI tools, Arc operates as a single agent capable of acquiring different skills. Existing catalog skills include Order Entry, which reads an incoming order and prepares it for the TMS, and Contract Intake, which organizes rate-contract terms for review.
Trimble has now added the Intelligent RFQ Builder, aimed at shippers and capacity buyers. The tool structures lanes using rate information supplied by the user and prepares the request for quotes.
Customers can also create their own custom Arc skills by describing a task in plain language, without writing code.
Kornhauser cited a skill designed to update currency conversions daily in TMT and TruckMate. One currency-conversion skill reportedly took approximately 35 minutes to build.
Arc also records actions through an audit trail and returns exceptions to a human operator, according to Kornhauser.
The platform is offered through a single-tier subscription that includes 10 hours of agent working time per month, with additional hours available for customers requiring more capacity.
Autonomous planning comes to private fleets
Trimble is also adding autonomous planning capabilities to Appian Fleet Assistant for private fleets.
The tool learns an operation’s customer commitments, driver preferences and equipment requirements before generating multi-stop plans within seconds.
Planners can review the resulting recommendations or allow the system to plan autonomously. Trimble is offering the capability as a licensed add-on for existing Appian Fleet Assistant customers.
Kornhauser highlighted the difficulty of relying on individual planners with decades of institutional knowledge.
“You needed a person who had spent the last 25 years memorizing that store number 42 only accepts deliveries behind the alley, and you’ve got to get there by 7 a.m.,” he said. “But if your go-to veteran planner falls sick or happens to retire, chaos ensues.”
Voice AI expands CoPilot’s driver capabilities
Trimble is also bringing voice AI to its CoPilot Driver Assistant through CoPilot v11.4.
A driver can tell CoPilot that they need a break, after which the application checks the route and applicable hours of service before searching a database containing more than 6 million locations for a suitable stop.
Drivers can also reserve parking through Truck Parking Club and book hotel rooms through Engine, with those services available directly through the application.
For planners, Route Orchestration for PC*MILER allows preferred routes to be established according to criteria such as time, distance, tolls, total cost or safety. CoPilot can then use the same selected route for the driver.
PC*MILER marked its 40th anniversary in June and now processes approximately 5.5 billion routing requests per month, according to Kornhauser.
AI moves into maintenance and yard operations
Trimble is also expanding AI capabilities within its maintenance software.
In TMT Fleet Maintenance, AI-powered invoice scanning can now process batches of up to 100 vendor PDF invoices at once, representing ten times the capacity of the previous version.
The system also maps parts and repairs to VMRS codes. Trimble said the technology has saved more than 136,000 minutes across 19,500 invoices compared with manual data entry.
Meanwhile, Trimble Dock & Yard is adding Advanced Trailer Orchestration for shipper and 3PL customers.
The capability brings together appointments based on a facility’s actual dock capacity, a carrier portal for booking visits, live arrival exceptions and the next planned movement for each trailer.
The objective is to give operators a single operational record connecting the trailer, appointment and subsequent move.
“What you see today is just the start. There are many more workflows to follow,” Kornhauser said of the TMS updates.
Why it matters
For carriers using Innovative, TruckMate, TMW.Suite or Fuel Dispatch, Trimble’s latest approach focuses on adding browser-based workflows, APIs and AI-agent connectivity without requiring a full platform migration. The company is positioning these incremental upgrades as a way to introduce AI into established transportation workflows while preserving existing data, configurations and integrations.




















