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Fleetworthy's RADAR Aims AI at Toll Leakage as Trucking Costs Climb
Fleetworthy launched RADAR, an embedded AI tool for toll management, on Nov. 4, with general availability in Q1 2027 as toll expenses climb 13.2%.
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- Marcus Bennett
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Key points05
- Fleetworthy launched RADAR at its Nashville roadshow on Nov. 4.
- General availability for Toll Management customers is expected in Q1 2027.
- Average truck operating cost reached $2.336 per mile in 2025, up 3.4%, while toll expenses rose 13.2%, per ATRI.
- RADAR answers are based solely on each customer's own data; figures come from auditable queries, not the LLM.
- Pricing and a timeline for guided-workflow capabilities remain unfinalized.
Trucking's average cost per mile hit $2.336 in 2025, up 3.4% year over year, while toll expenses jumped 13.2% — and Fleetworthy is betting that AI can help fleets claw back some of that spend. The company launched RADAR, its new AI-powered fleet management technology, at its roadshow in Nashville, Tennessee, on Nov. 4.
RADAR — Real-time AI, Decisioning and Automated Resolution — is embedded directly into Fleetworthy's existing software rather than offered as a standalone chatbot or analytics product. The tool gives customers new ways to monitor toll activity, identify spending trends and receive recommendations without manually reviewing reports.
What does RADAR actually do?
Initially, RADAR launches exclusively within Fleetworthy's Toll Management product, with general availability for Toll Management customers expected in the first quarter of 2027. Beta versions of RADAR capabilities for the company's safety and compliance and weigh station bypass products are expected around the same time.
Chief Product Officer Shay Demmons said Fleetworthy built RADAR to help fleet managers spot operational issues, including toll leakage and problems that could keep vehicles or drivers off the road. Toll leakage covers discrepancies between what a fleet should have paid and what it was actually charged — higher plate-based toll costs, for example.
Fleet managers can ask the tool questions about their toll activity, such as why a particular charge appeared or how a transponder is performing. Crucially, RADAR does not draw on data from other Fleetworthy customers to generate industry benchmarks. Its answers rest exclusively on each customer's own data.
The company was also explicit about what the AI does not do. The platform uses a commercial large language model to explain results in plain language, but the model does not generate the underlying figures. Those calculations come from defined queries against the customer's Fleetworthy data, which the company said are auditable — a distinction that matters for fleets wary of hallucinated numbers.
What about data security and accuracy?
Because RADAR draws on customers' account information, Fleetworthy said it takes steps to keep confidential data from being shared across users.
"We're doing all the things necessary to make sure that we're not exposing any confidential information that shouldn't be shared with someone else," Fleetworthy President Mike Precia said.
The company has already tested RADAR with several customers and folded their feedback into development.
"They've been able to quickly identify toll leakage that otherwise was difficult to find," Demmons said. Customers have also used the tool to flag trucks without transponders and locate transponder information without digging through reports, he noted. Fleetworthy did not disclose which companies participated in testing.
If a response proves inaccurate or conflicts with a fleet's records, Fleetworthy recommends contacting its customer support team — an acknowledgment that the tool's outputs still require human verification. Demmons framed AI as supporting, not replacing, decision-making.
"AI from our perspective is we believe we want it to be human centered, meaning it's not a black box," Demmons said.
The tool also surfaces fleet-specific insights on the platform dashboard, highlighting toll anomalies, spending trends and potential savings, and can recommend next steps — though fleet managers retain control over operational decisions.
How does RADAR fit Fleetworthy's broader AI strategy?
RADAR is part of a wider push to embed AI across Fleetworthy's fleet management platform. The company began building its AI capabilities roughly 18 months ago, establishing a dedicated department to explore how the technology could address customer operational challenges. That effort included investments in underlying data infrastructure, connecting information across products to support AI development.
Precia said Fleetworthy sees opportunities to use AI to help customers identify inefficiencies, understand fleet performance and make better operational decisions.
The company plans to expand RADAR beyond surfacing insights into helping customers resolve issues through guided workflows — letting managers investigate a problem, review its impact and receive guidance on fixing it.
"We don't want to stop at, 'Hey, here's the highest areas you should know about,' but more so on how we actually resolve those issues," Demmons said.
Two gaps remain. Fleetworthy has not set a timeline for the workflow capabilities, and it has not finalized pricing. Demmons said basic functionality, including the ability to ask questions, would likely ship in the core product, while advanced workflows could carry an additional cost.
With toll expenses rising at nearly four times the pace of overall operating costs, per American Transportation Research Institute data, fleets will watch whether RADAR's first-quarter 2027 rollout delivers measurable leakage recovery — and whether Fleetworthy prices the resolution tools that follow.
Original: getfreightdata.com
More from Marcus Bennett
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Senior reporter covering regulation, policy and their impact on Ocean and air freight, container shipping at Waybill Wire.
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