Fleetworthy's AI Toll Manager Aims to Recoup Millions for Fleets

ALBANY, N.Y. – February 04, 2026 – Fleetworthy, a major technology provider for the commercial trucking industry, today unveiled Toll360, a new artificial intelligence-driven platform designed to automate the complex and costly process of toll management. The company claims this is an industry-first, end-to-end solution that moves toll management from a reactive, manual chore into a proactive, automated system of cost control, potentially saving fleets millions of dollars annually in overcharges and administrative overhead.

The new capability, built into the company's existing Bestpass by Fleetworthy toll payment platform, promises to give fleet operators a real-time view of their toll expenditures, from predicting costs as trips happen to automatically disputing incorrect charges—a significant departure from the industry's standard practice of reconciling invoices weeks after the fact.

From Reactive Billing to Proactive Control

For years, fleet finance and operations teams have grappled with toll costs as one of their most unpredictable and labor-intensive expenses. Invoices from dozens of tolling authorities often arrive long after a vehicle has passed through a gantry, making it difficult to verify charges or assign costs accurately to specific loads. This delay creates a cascade of administrative work, with staff manually cross-referencing toll bills against trip logs, a process ripe for human error and missed overcharges.

"Toll costs remain one of the least predictable and time-consuming expenses for fleet operations and finance teams," said Shay Demmons, Chief Product Officer at Fleetworthy, in the company's announcement. "Charges often arrive weeks after vehicles travel, long after errors can be prevented or costs contained."

Toll360 aims to eliminate this lag. By integrating with a truck's GPS and Electronic Logging Device (ELD) data, the system predicts toll costs almost immediately after a trip is completed. This gives managers an up-to-the-minute understanding of their spending, enabling more accurate accrual accounting and route-level profitability analysis.

When the official toll charges are eventually posted by authorities, Toll360 automatically reconciles them against its predictions and the vehicle's actual travel data. If it detects a mismatch—such as a truck being charged for the wrong vehicle class, an incorrect rate, or a toll it never incurred—the system flags the discrepancy. Crucially, it then takes the next step: automatically submitting an eligible dispute with the tolling authority on the fleet's behalf. This automated dispute resolution feature is designed to replace the time-consuming process of phone calls, emails, and spreadsheet tracking that currently burdens administrative staff.

The AI Engine Driving the Savings

The backbone of Toll360 is a sophisticated AI engine trained on a massive dataset. Fleetworthy reports that its models have been developed using millions of toll transactions, vehicle trips, GPS routes, and a complex web of toll authority rules, vehicle classifications, and regional pricing variables. This extensive training allows the system to account for the numerous factors that influence a toll's cost, including the specific road, time of day, vehicle axle count, and geographical location.

The platform's ability to deliver what the company claims is 95 percent predicted toll accuracy under normal conditions is central to its value. This high level of accuracy provides the confidence needed to automate the reconciliation process. Without a reliable prediction, automatically flagging discrepancies would be impossible.

This AI-driven approach represents a significant technological leap in a corner of logistics that has been slow to modernize. While many fleet management systems use AI for route optimization or predictive maintenance, applying it to the granular financial workflow of toll reconciliation and dispute filing appears to be a novel application. The system is designed to identify and help stop escalating costs from common errors like misassigned transponders, misallocated cost centers, or vehicles missing from toll registrations, which can lead to costly violations.

Quantifying the Impact: Pilot Program and ROI

To validate its claims, Fleetworthy conducted a pilot program with a 200-truck fleet. The results, as detailed in the launch announcement, suggest a tangible return on investment. The pilot fleet reportedly recovered an average of $15 per vehicle per month from disputed tolls that the AI system identified and challenged. For a fleet of this size, that translates to $36,000 in annual savings directly to the bottom line. For the largest fleets, which operate thousands of trucks, the potential savings could easily run into the hundreds of thousands or even millions of dollars per year.

Beyond direct cost recovery, the pilot also demonstrated significant efficiency gains. The company estimates that the automation reduced the time staff spent on manual reconciliation and dispute efforts by 30 to 40 hours per month. This frees up personnel to focus on more strategic tasks rather than chasing down small-dollar discrepancies across countless transactions.

Furthermore, the pilot showed a dramatic reduction in the time it takes to get visibility into toll costs, shrinking the turnaround from days or weeks to just one day. This speed allows for faster, more informed decision-making regarding routing and job costing. While Fleetworthy notes that results will vary based on factors like fleet size, geography, and data quality, the pilot provides a compelling business case for adoption.

A New Front in a Competitive Market

Fleetworthy's assertion that Toll360 is an "industry-first" appears to hold weight upon examination of the competitive landscape. While established players in toll management and weigh station bypass offer comprehensive payment consolidation, violation management, and data analytics, none appear to offer the same integrated package of AI-driven prediction, reconciliation, and fully automated dispute filing within a single payment platform.

Competitors have certainly incorporated predictive analytics and AI to help fleets analyze spending and identify cost-saving opportunities. However, the proactive, automated financial recovery mechanism described in Toll360 seems to be a key differentiator. This launch will likely put pressure on other fleet technology providers to enhance their offerings, potentially sparking an arms race to develop more sophisticated, AI-powered financial management tools. The market may see a shift where automated cost recovery becomes a standard expectation rather than a premium feature.

Recognizing that not all fleets use its Bestpass platform for toll payments, Fleetworthy is also unbundling its AI capabilities. The company is offering two standalone add-ons, Toll Predict and Toll Reconcile, for fleets that want greater visibility and accuracy but use other payment methods. This strategy broadens the potential market for its new technology and positions the company as a leader in toll intelligence, not just toll payment. As fleets increasingly look to technology to squeeze out inefficiencies and protect thin margins, solutions that offer a clear and immediate financial benefit are poised for rapid adoption. The move signals a broader trend in logistics technology: a pivot towards intelligent systems that don't just report data but actively intervene to optimize operations and recover costs.