IN Brief:
- Clearly is now available through Geotab Order Now in the US, Canada, Mexico, UK and EU.
- The platform combines telematics, fuel, maintenance and finance information into a single model for identifying and ranking fleet savings.
- Clearly operates as a MyGeotab add-in, reads data through the API and does not write information back into customers’ Geotab environments.
Clearly Technologies has launched its fleet intelligence platform through Geotab Marketplace in the US, Canada, Mexico, UK and European Union, combining data from existing fleet systems to identify cost reductions and track whether expected savings are actually achieved.
The software is available through Geotab Order Now and operates as an add-in within MyGeotab. It draws together telematics, fuel, maintenance and finance information rather than requiring fleet operators to replace the separate systems already producing those records.
Clearly says a typical enterprise fleet can operate a dozen or more disconnected systems. When fuel, utilisation, repairs and financial records sit in different applications, managers often have to reconcile several datasets before they can establish whether a change in one area has delivered a genuine saving across the fleet.
The platform creates a common model from those sources, assigns an annual financial value to identified opportunities and ranks them by potential benefit. AI agents then monitor performance against those opportunities, investigate where results move away from expectations and direct actions towards the relevant user.
Each claimed saving is tracked against a locked baseline. That is intended to distinguish an estimated opportunity from a realised financial result, because a theoretical improvement in fuel use or maintenance expenditure has limited value if another cost rises or the expected change does not persist.
Clearly estimates from its customer work that disconnected fleet data can create annual losses of between $1,500 and $3,000 per light or medium-duty vehicle, with potentially larger amounts across heavy trucks. Those figures come from the company’s own engagements rather than an independent industry benchmark.
The underlying data problem extends across most sizeable fleets. Telematics describes movement and vehicle behaviour, fuel systems record expenditure, workshop software tracks maintenance and finance platforms contain asset and operating costs.
Each dataset relates to the same physical vehicle, but differences in identifiers, timing and reporting structure can make them difficult to compare automatically. Standardising those records allows an operational event to be connected with its financial effect.
Excessive idling, for example, appears first as vehicle behaviour in telematics data. Its consequences can then appear in fuel spend and potentially maintenance, making a joined dataset more useful than any one of those records viewed separately.
Fleet software companies are approaching the same fragmentation problem from different directions. Terminal recently raised $20m to standardise data from hundreds of telematics providers, creating interfaces for logistics, fleet and insurance applications.
Clearly’s approach places the analysis directly inside the Geotab environment while connecting other sources around it. A MyGeotab administrator installs the add-in once, after which authorised users can open Clearly through the existing platform and authenticate using their established credentials.
The integration reads information through the MyGeotab API but does not write back into the Geotab system. That allows Clearly to analyse the available information without directly changing vehicle records inside the customer’s telematics environment.
Existing permissions are also carried through. Clearly says users can only view vehicles allowed by their current MyGeotab access, avoiding the creation of a separate visibility layer that exposes assets they would not normally be authorised to see.
Those controls become more important as AI is applied to operational fleet data. An analytical system can search much larger datasets than a person moving between dashboards, but the same capability increases the volume of information available to the model if access boundaries are poorly defined.
The platform has already been selected by an unnamed multinational operator managing a large mixed commercial fleet across dozens of countries. Clearly says the customer is combining fuel, maintenance, telematics and finance information with existing Geotab data to identify operating savings.
International fleets add complexity because vehicles can operate under different currencies, units, languages, maintenance regimes and commercial conditions. The interface can present information according to existing user settings, while the financial model still has to account for the local operating differences behind those records.
Geotab’s data is already used for broader freight analysis. Recent Geotab research showed regional US truck activity growing faster than long-haul movements, illustrating how aggregated telematics information can describe network behaviour as well as individual vehicle performance.
The Clearly integration brings the focus back towards the operating fleet and attaches a financial workflow to that data. The practical test is whether it can identify opportunities that separate systems obscure and then demonstrate through the locked baseline that the expected gains continue after action is taken.
Fleet operators already possess large volumes of information about vehicles, fuel and maintenance. Their harder problem is connecting those records closely enough to establish what is costing money, what can be changed and whether the intervention delivered the expected result.
Clearly’s Geotab integration is built around that connection rather than creating another isolated dataset. If the model works as intended, the value comes from turning existing fleet information into a more coherent operating and financial view rather than simply adding another dashboard to the stack.
