Running Samsara and Geotab? How to Get One Cost View

If your fleet runs both Samsara and Geotab, your true cost-per-mile doesn’t exist in either platform — it lives in the gap between them. Neither system is built to ingest, normalize, or report on cost data from the other.

This isn’t a niche edge case. Acquisitive fleets, multi-region operations, and companies that inherited equipment through a merger almost always end up with mixed telematics stacks. Samsara dominates in certain verticals; Geotab dominates in others. You might run Geotab on long-haul tractors and Samsara on last-mile vans — and have zero unified view of what either group actually costs to operate.

The fix isn’t ripping out one platform. It’s adding an intelligence layer that reads both and speaks one language: total cost.

Why Samsara and Geotab Each Fall Short of a Combined Cost View

Both platforms are excellent at what they’re built for. GPS, HOS, driver behavior, real-time visibility — these are genuinely strong capabilities in both products. Samsara has expanded aggressively into work orders and basic maintenance workflows. Geotab’s MyGeotab offers robust fault-code reporting and a large add-on marketplace.

But here’s the concrete limitation: neither platform ingests and normalizes cost data from the other.

Pull a cost-per-mile report from Samsara and it reflects only the assets Samsara tracks — and only the cost inputs Samsara can see. Geotab’s TCO reporting has the same boundary condition. Each platform accounts for its own assets and stops there.

Run both? You get two partial answers. Neither one can tell you:

• Your blended cost-per-mile across the entire fleet
• Which region or asset class — Samsara-tracked or Geotab-tracked — is the cost outlier
• Whether a specific vehicle should be replaced, regardless of which telematics box it’s running
• How your fuel card spend (Comdata, WEX, Fleetcor) maps to individual vehicles across both platforms

This isn’t a criticism of either product. It’s a structural limitation of single-platform thinking applied to a multi-platform reality.

The Real Cost of Siloed Data

The math is unforgiving. Industry benchmarks make the stakes clear:

• Reactive repairs cost 3–9x more than preventive maintenance (ATA, widely cited)
• DOT violations average ~$8,500 per incident in fines and out-of-service costs
• Unplanned downtime on a commercial vehicle runs $448–$760 per day in lost productivity (ATRI, 2023)
• Fuel typically represents 25–40% of total fleet operating cost — and most fuel card feeds don’t connect to either telematics platform at the vehicle level

When cost data is split between two telematics platforms, a fuel card system, and a stack of vendor invoices in your AP inbox, you’re not catching the patterns that drive those costs. You’re reacting to problems that unified data would have surfaced weeks earlier.

Alter Metal Recycling saw this directly: after Link-X normalized their fragmented maintenance data into a single cost view, they achieved 33% R&M savings. The cost patterns were always there — they just weren’t visible inside a fragmented data set.

What a Unified Cost View Actually Requires

Getting one cost view across Samsara and Geotab isn’t a matter of running a single export. It requires normalizing four data streams that currently live in different systems.

1. Telematics Data From Both Platforms

Both Samsara and Geotab expose APIs. A proper integration layer pulls vehicle-level utilization, fault codes, and odometer reads from each — and maps them to a single asset record using VIN matching. Without a common asset ID, you’re reconciling records manually every time you need a number.

2. Maintenance and Repair Records

Work orders, vendor invoices, and shop records need to attach to the same asset record as the telematics data. Samsara’s work order module covers Samsara-managed assets. Geotab has maintenance integrations. But neither pulls from the other’s maintenance data, and neither automatically processes outside vendor invoices sitting in your AP queue. That gap is where cost visibility breaks down.

3. Fuel Card Data

If your Comdata or WEX feed runs separately from both telematics platforms, fuel cost never connects to the vehicle-level record either system is building. You need automated invoice processing that attaches fuel transactions to individual assets — regardless of which telematics platform tracks that asset.

4. A Normalized Cost-Per-Mile Calculation

Once those three streams attach to a common asset record, cost-per-mile becomes calculable at any level: individual vehicle, region, asset class, or entire fleet. The formula is straightforward —

(Total fuel + total maintenance + total repair + depreciation allocation) ÷ total miles driven

— but it only works when all four inputs are clean, unified, and current. A monthly spreadsheet exercise doesn’t cut it when a high-cost unit is accumulating repair spend every week.

How Link-X Closes the Gap for Mixed-Telematics Fleets

Link-X is built as an intelligence layer, not a telematics replacement. It connects to Samsara and Geotab simultaneously, normalizes asset data across both, and adds the maintenance and fuel cost layers that neither platform provides on its own.

RC Willey’s fleet runs at $0.07 per mile with $21,000 average per-vehicle cost — a benchmark that only became calculable when Link-X unified their telematics, fuel, and maintenance data into a single cost record per asset. Without that unified record, a replace-vs-repair decision on a high-mileage unit is based on gut feel, not TCO.

For mixed-telematics fleets specifically, Link-X handles:

• Simultaneous Samsara + Geotab ingestion via native API connections — no manual exports, no scheduled syncs
• Single asset records across both platforms using VIN matching, so every vehicle has one complete cost history regardless of which telematics box it carries
• Automated invoice processing that attaches vendor charges to the correct asset record across both telematics environments — eliminating the manual AP-to-maintenance reconciliation most shops still do in spreadsheets
• Preventive maintenance scheduling driven by real utilization data from whichever platform tracks each asset, so PM intervals don’t fall through the gap between systems
• DVIR and inspection workflows that surface open items against the correct asset, even when that asset’s telematic data lives in the other platform
• Tire and warranty tracking tied to actual mileage and cost data, not manual entry
• Replace-vs-repair analysis using actual TCO, not just age or mileage thresholds
• Cost-per-mile updated continuously at every level — vehicle, region, division, fleet-wide — not recalculated at month-end when the damage is already done

The fleet health dashboard shows every asset — Samsara-tracked and Geotab-tracked — in a single view, with cost metrics, upcoming PM triggers, open DVIRs, warranty status, and fault-code history. Your ops director sees one number, not two partial ones stitched together in a spreadsheet.

The Practical First Step You Can Take Today

Start with a VIN audit. Export your active asset list from Samsara. Export it from Geotab. Match them. You’ll likely find duplicates, missing assets, and VINs that appear in one system but not the other. That discrepancy is the exact size of your cost blind spot.

From there, the question is whether you stitch the data together manually — a significant and ongoing engineering lift — or connect an intelligence layer that does it continuously and attaches cost data automatically.

Your fleet’s real cost-per-mile isn’t in Samsara. It isn’t in Geotab. It’s in the space between them. If you want to see what a unified cost view would surface across your fleet, reach out to the Link-X team for a demo.