How to calculate tire management ROI in your fleet

Improving tire management costs money, whether in systems, processes or people. And any investment needs justification. For a fleet manager evaluating where to allocate resources, the question is straightforward: how much will this improvement return in savings?

ROI (return on investment) is the tool that answers this question with a number rather than a promise. And in tire management in large fleets, the calculation is more accessible than it seems, because costs are measurable, variables are known and gains appear in indicators the operation should already be keeping track of.

In most cases, the challenge is not the formula. It is having the data needed to feed it and separating direct tire effects from those of other operational changes.

See below:

The formula and both sides of the calculation
Calculating acquisition and retreading savings
How to include fuel and maintenance savings
What prevents the calculation and how to resolve it
How Prolog structures the data so you can calculate and keep track of ROI

The formula and both sides of the calculation

The ROI formula is simple:

ROI = (Gain achieved – Investment) / Investment × 100

The result is a percentage indicating how much the investment returned relative to what was invested. An ROI of 200%, for example, means that for each R$1 invested, R$2 returned as savings.

In tire management, the calculation has two sides:

Investment side (what goes into the calculation)

Cost of the management system or tool, implementation costs (training, team hours dedicated to implementation), any equipment (a digital tread probe, for example) and the team’s time dedicated to new processes in the first months.

Gain side (what becomes savings)

This is where the calculation gets interesting, because tire management generates returns in two areas. The first is direct tire cost reduction, such as extending useful life, increasing the retreading rate and reducing premature disposal.

The second is reducing indirect costs associated with tires, including fuel savings through proper calibration, reduced unplanned downtime and fewer corrective maintenance services caused by tire problems.

The most common mistake when calculating tire management ROI is considering only direct tire savings. Indirect savings can be included in the analysis, but need more care: if the fleet does not separate cost causes, the calculation should show the assumption used and avoid attributing to tires savings that may also have come from other actions.

Calculating acquisition and retreading savings

This is usually the largest component of tire management ROI and the easiest to calculate, because it involves numbers the operation already has (or should have).

Extending useful life

If structured management (regular calibration, scheduled rotation, periodic inspections) extends average tire useful life from 80,000 km to 96,000 km (a 20% gain), replacement frequency falls proportionally.

For a fleet in Brazil with 500 active tires and an average cost of R$2,200 per tire, the calculation is:

Without management: 500 tires × 1.5 replacements/year × R$2,200 = R$1,650,000/year

With management: 500 tires × 1.25 replacements/year × R$2,200 = R$1,375,000/year

Annual savings: R$275,000

Increasing the retreading rate

A well-managed casing can undergo up to three retreading cycles, and each retread costs between 30% and 50% of a new tire’s price.

If structured management increases the retreader’s approval rate from 60% to 75%, savings come from two areas: more retreaded tires instead of new ones, and fewer prematurely discarded casings.

To calculate: compare the number of approved retreads before and after the improvement, then multiply by the difference between the cost of a new tire and retreading. The result is the direct savings generated.

Prolog customers can demonstrate this: Ghisolfi increased tire life through retreading acceptance.

Reducing premature disposal

If the operation discarded 40% of its tires before exhausting their useful life and, with structured management, this rate falls to 25%, the difference represents tires that keep running rather than being replaced.

The savings are the cost of new tires that no longer had to be bought before necessary.

Another Prolog customer adds to this picture of results: Marbel reduced tire disposal by 50%, and Conlog managed to eliminate early disposal with our tool.

Useful life, retreading and disposal are the factors generating the most visible, measurable return. In many operations, this calculation alone already justifies investing in tire management.

How to include fuel and maintenance savings

Indirect savings are real, but require more care in the calculation because they involve variables shared with other operational areas.

Properly inflated tires reduce rolling resistance and consequently fuel consumption.

According to data from ANIP, Brazil’s National Tire Industry Association, savings can reach 10% when pressure is significantly corrected. In practice, for most fleets the realistic gain attributable to calibration is between 2% and 5% of diesel consumption — in practice, MC Transportes, a Prolog customer, recorded 4% fuel consumption savings.

To include this in ROI: calculate fleet fuel spending, isolate the portion plausibly linked to calibration and document the assumption used. When the fleet cannot separate this effect, prefer a conservative scenario identified as an estimate rather than automatically applying a percentage to all diesel spending. Even a small percentage, multiplied across dozens of vehicles covering thousands of kilometers, generates a relevant absolute amount; that is why the assumption needs to be clear.

Maintenance

Poorly managed tires cause mechanical problems: uneven wear accelerates the need for alignment and balancing, incorrect pressure overloads suspension and brakes, and tire failures on the road generate costly emergency assistance. When tire management improves, some of these maintenance costs fall.

To include this in ROI: compare tire-related corrective maintenance costs (unscheduled alignments, suspension replacements, emergency assistance) before and after the improvement.

If the operation does not separate these costs, do not treat a decrease in all corrective maintenance as tire savings. The best approach is to start separating work orders by type and cause; until that exists, use a conservative estimate, state the uncertainty and leave this item out of the main result when it could distort the decision.

Availability

Less unplanned downtime due to tire problems means more vehicles on the road. The value of availability is difficult to calculate precisely, but can be estimated from lost freight or unrealized revenue per idle vehicle.

If the fleet can reduce average vehicle downtime due to tire problems by one day per month, the accumulated gain over 12 months increases.

The recommendation is to include indirect savings in the calculation, but with conservative, documented assumptions separated from direct savings. This gives the number credibility, especially when ROI will be presented to senior management to justify the investment.

What prevents the calculation and how to resolve it

If tire management ROI is so calculable, why do most operations not calculate it? Because input data is missing:

There is no CPK per tire

Without individual cost per kilometer, there is no way to know what each tire actually cost and therefore no way to measure whether useful life improved.

The solution is to implement individual traceability (fire number, the serial number branded on the tire) and record mileage at relocations. Tire CPK follows as a result.

There is no documented retreading rate

Many fleets send casings to the retreader, but do not keep track of the approval rate in a structured way. Without this data, there is no way to measure whether management improved casing quality.

The solution is to record every shipment and every return, with approval or rejection status and reason.

There is no disposal history with causes

If a tire leaves the fleet without the reason being recorded (natural wear, damage, retreading rejection, loss), there is no way to know what portion of disposals is premature.

The solution is to document each disposal with its cause, and over time this data becomes the basis for measuring loss reduction.

Maintenance costs are not separated by cause

If all maintenance costs go into a single line, it is impossible to isolate how much is caused by tire problems.

The solution is to categorize work orders by type and cause, making it possible to identify the share of maintenance associated with tires.

In every case, the solution follows the same principle: recording. The data that feeds ROI does not appear retroactively; it needs to be collected in a structured way from the moment management begins.

The first ROI calculation may be imprecise; the second will already be better; from the third onward, the operation will have a solid basis for projecting returns with confidence. What matters is separating measurements from estimates so that the indicator’s evolution does not depend on hidden assumptions.

How Prolog structures the data so you can calculate and keep track of ROI

Prolog’s Tire Management solution keeps an individual record of each tire by fire number, records all relocations with mileage, calculates CPK per asset and per vehicle, keeps track of the retreading cycle and approval rate, and documents each disposal with its cause. These are exactly the inputs required by the ROI calculation.

In practice, this means a manager using Prolog’s solution has, at the end of each period, the numbers needed for the calculation: average useful life before and after, retreading rate before and after, premature disposal rate before and after, and comparative CPK across periods, brands and vehicles.

Integration with Maintenance Management and the Electronic Checklist adds the indirect cost layers, including corrective maintenance caused by tires, unplanned downtime identified through checklists and anomalies addressed preventively.

As a result, ROI stops being an estimated projection and becomes a number calculated with real operational data, updatable each cycle and defensible at any meeting with senior management.

Explore the Tire Management solution now and learn how it applies to your fleet in a free demonstration with one of our specialists.

Frequently asked questions

How do you calculate tire management ROI?

Apply the formula ROI = (gain achieved – investment) / investment × 100; an ROI of 200% means each R$1 invested returned R$2 in savings. Investment includes the system, implementation, equipment and team hours. For gains, add the direct tire cost reduction and, where there is a basis for isolating the effect, indirect cost reductions linked to tires. The most common mistake is considering only direct savings; the second is inflating indirect savings with poorly documented assumptions.

How much does extending tire useful life save?

In a calculation example in Brazil, structured management that takes average useful life from 80 thousand km to 96 thousand km (a 20% gain) reduces replacements from 1.5 to 1.25 per year. In a fleet with 500 tires at R$2,200 each, annual spending falls from R$1,650,000 to R$1,375,000, saving R$275,000 per year. Acquisition and retreading savings, which combine useful life, retreading and disposal, are usually the largest ROI component and the easiest to calculate.

How does retreading enter the ROI calculation?

A well-cared-for casing can receive up to three retreads, each costing 30% to 50% of a new tire’s price. To calculate this, check how many retreads were approved before and after the improvement and multiply the difference by the gap between a new tire’s price and the cost of retreading. If the approval rate rises from 60% to 75%, for example, more tires are retreaded and fewer casings are discarded.

Does tire management reduce fuel consumption?

Correctly inflated tires reduce rolling resistance and thus consumption. Data from ANIP, Brazil’s National Tire Industry Association, indicates savings of up to 10% when pressure is significantly corrected; for most fleets, a realistic gain attributable to calibration is in the range of 2% to 5% of diesel consumption. In ROI, isolate the portion plausibly linked to calibration and document the assumption used, without automatically applying a percentage to all fuel spending.

Why can most fleets not calculate tire ROI?

Because input data is missing: there is no CPK for each tire, no documented retreading rate, disposal occurs without a recorded cause, and maintenance costs are not separated by origin. The solution is to record from the start: individual traceability by fire number (the serial number branded on the tire) with mileage recorded at relocations, every shipment to and return from the retreader with status and reason, every disposal with its cause, and work orders categorized by type and cause.

What results have fleets already achieved with tire management?

Among Prolog customers, Ghisolfi extended tire life through retreading acceptance, Marbel reduced tire disposal by 50%, Conlog eliminated early disposal and MC Transportes achieved 4% fuel consumption savings. These gains correspond to the calculation’s areas of return: retreading, premature disposal and fuel.

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