Cube vs. Mosaic for Reefer and Hazmat Freight Margins

If your fuel card or telematics system already splits reefer unit fuel from tractor fuel, you have the data to build a true per-lane margin that reflects the added burn; if it doesn't, that's a data problem no forecasting tool solves for you. Before choosing between Cube and Mosaic, confirm which one, if either, can ingest a split fuel feed directly, since manually splitting a blended fuel total after the fact introduces error that compounds across every reefer lane in your model.

Hazmat and tanker endorsements come with renewal cycles, training time, and sometimes a pay premium for drivers who hold them; that cost needs to sit against the hazmat lanes it enables, not get buried in general driver pay. If your team is already tracking this at the driver level, a spreadsheet-native tool like Cube can incorporate it directly; if you're not tracking it yet, that's a prerequisite step before either tool will produce a trustworthy hazmat lane margin.

Specialized fleets often build reefer and hazmat margin logic in Excel because dispatch and telematics exports rarely arrive in the exact shape a controller wants. Cube's approach syncs that spreadsheet against dispatch and fuel data rather than replacing it, which fits when the underlying premium-lane calculation is already correct and just needs fresher data feeding it each week.

If your fleet runs a mix of dry van, reefer, and hazmat freight, a dashboard that breaks margin out by freight type rather than reporting one blended fleet average can show whether your premium lanes are actually earning their premium after added costs. Confirm in a demo that Mosaic can carry separate cost structures per freight type rather than a single fleet-wide formula, since specialized freight is exactly the case where a generic template flattens a distinction that matters.

Reefer units and tanker or hazmat-rated trailers cost more to maintain than dry van equipment, and a maintenance reserve borrowed from your dry van fleet's history will understate what specialized equipment actually needs. Track maintenance cost by equipment type, not fleet-wide, so a forecast for adding reefer capacity reflects the real ongoing cost, not the cost of the equipment you already know best.

Jirav's driver-based approach is useful when you're deciding whether to add reefer units or hazmat-certified drivers, since that decision involves multiple moving parts, equipment cost, certification lead time, and lane demand, that a flat revenue-growth assumption won't capture. A driver-based model lets you test whether the added lane premium actually covers the added cost before committing to the equipment purchase.

It's tempting to set a reefer or hazmat rate by looking at what other carriers quote on load boards, but a competitor's rate tells you nothing about whether their reefer fuel and certification costs look like yours. Build your rate floor from your own bottom-up cost model first, then check it against market rates as a sanity check, not the other way around, so a soft market doesn't pull your pricing below what the lane actually costs to run.

Export a quarter of split fuel, certification, and settlement data and see how cleanly it maps into either platform before committing, since a mismatch in how reefer fuel or hazmat pay premiums are categorized is the most common reason a fleet's first month on a new system produces numbers nobody trusts. Ask specifically whether the platform can carry a different cost structure per equipment type, not just per driver, since a reefer trailer's maintenance profile differs from a dry van trailer regardless of who's driving it, and confirm the same during onboarding rather than discovering the gap after your first month of live data on real lanes.

Test these points before switching your margin model:

• Export a quarter of split fuel, certification, and settlement data and see how cleanly it maps into either platform.
• Confirm your fuel card or telematics feed splits reefer unit fuel from tractor fuel, since no forecasting tool can fix missing data.
• Ask whether the platform can carry a different cost structure for each freight type instead of one fleet-wide formula.
• Check how reefer fuel and hazmat pay premiums are categorized, because mismatches there are a common reason first-month numbers cannot be trusted.
• Track maintenance reserve by equipment type so reefer and hazmat-rated equipment is not priced off dry van history.