Your Carrier Visibility Coverage Number is One Factor of Four

Visibility coverage is the share of your shipments for which you hold position and status data you can act on. It gets reported as a single percentage, usually something like 95% of shipments tracked, and that percentage is almost always measuring one condition out of four. A shipment is actionable only if the carrier has telematics, and shares the feed with you, and the feed maps to your order, and the data is fresh enough to act on. Those conditions are independent and they multiply. At 95%, 85%, 90% and 80%, the product is 58.1%. Both numbers are true at once: 95% tracked, 58% actionable, a 36.9 point gap that appears in no report.

The gap is not a data quality problem to be cleaned up. It is a structural property of buying transport from many carriers, and it can be measured, priced and attacked one factor at a time. What it cannot survive is being expressed as a single number.

Why a single coverage percentage cannot be right

Ask an operations team what their visibility coverage is and you get one number. Ask how it is calculated and you usually find it counts shipments moving on carriers who are integrated, which is the first condition only. Integration is necessary and nowhere near sufficient.

The four conditions fail for different reasons and belong to different owners, which is exactly why they are never measured together.

The fourth condition is the one that hides. A feed can be present, transmitting and correctly mapped, and still be useless because it updates every hour when the decision needs minutes. On the regulated side that coarseness is deliberate. Under 49 CFR 395.26, an electronic logging device records an intermediate location only when the vehicle has been in motion for an hour without another recording, and during authorized personal use at a resolution the rule itself describes as roughly a 10-mile radius. That feed is complete for hours-of-service enforcement and unusable for arrival management, so an operation counting ELD-integrated carriers as covered is counting a condition it has not met.

Precision is rarely the constraint. The US government reports that GPS-enabled smartphones are typically accurate to within a 4.9 meter radius under open sky, which is finer than any operational geofence, though the same source notes accuracy degrades near buildings and bridges. The problem is not where the vehicle is. It is whether anyone receives that position, attached to the right order, in time.

The structural reason coverage stays low is the shape of the carrier market. The American Trucking Associations reports almost 580,000 active US motor carriers registered with FMCSA as of June 2025, of which 91.5% operate 10 or fewer trucks and 99.3% operate 100 or fewer. A shipper with a broad carrier base is contracting mostly with very small operators, and very small operators run the thinnest telematics. Worse, they are frequently the carriers serving rural lanes, secondary markets and difficult final miles, which is where exceptions concentrate. Coverage is therefore inversely correlated with need, and any average across the base conceals that.

What the gap costs is set by what a movement costs. ATRI’s 2026 report puts the industry-average cost of operating a truck at $2.336 per mile in 2025, a record for the series and 3.4% above the prior year, with $1.854 of that excluding fuel. An unmonitored load is not more expensive per mile. It is more expensive per exception, because nobody intervenes until the consequence arrives.

How to measure coverage as a funnel

1. Decompose the number you currently report

Write down what your coverage percentage actually counts. In most operations it is carriers with a live integration, expressed as a share of shipments. Name that as factor one and accept that the other three are unmeasured rather than satisfied.

2. Measure each factor separately, per carrier

Device penetration comes from the carrier and should be requested by power unit, not asserted. Transmission is your own log: count carriers actually sending data in the period against carriers contracted to send it, and the gap is usually larger than expected. Mapping is a query: what share of received position records resolve to a shipment in your system. Freshness is a distribution, not an average, so record the age of the newest position at the moment a decision was needed.

Two of these are queries against data you already hold and can be run this week. Mapping is a join: count position records received in the period, then count how many resolve to a shipment identifier, and the ratio is factor three. Freshness needs a decision timestamp to compare against, which most systems have in the exception log, so for each exception raised, record the age of the newest position for that shipment at that moment. The output is a histogram rather than a number, and the useful cut is the share of exceptions where the newest position was already older than the window in which the exception could have been prevented. That share is the honest read on factor four, and it is usually the first time an operation sees the gap expressed as missed opportunities rather than as a data quality complaint.

3. Multiply, then compare to what you report

Reported coverage 95%. Actionable coverage 58.1%. The arithmetic is the entire argument, and the two numbers are not in conflict because they measure different things.

4. Attack your weakest factor, not your most visible one

The multiplication has a useful property: the marginal return on improving any factor is largest where the factor is smallest. Lifting each by ten points in turn, from the same baseline, gives very different answers.

Telematics penetration is the factor most programs chase, because it is the one carriers talk about and the one with a procurement lever attached. It returns the least, because it is already the strongest. Freshness returns more than twice as much and usually costs a configuration change rather than a negotiation.

5. Add the subcontracting term

When a carrier tenders your load onward, the vehicle carrying your freight belongs to a company you never contracted and cannot see. The tracking identifier breaks at a handoff that appears nowhere in your data, and the shipment continues to show as covered because the carrier of record is integrated.

At an 85% no-subcontract rate, actionable coverage falls below half. The term is measurable if you ask for it: require carriers to declare subcontracted movements and count the declarations against your own audit of who actually arrived.

6. Weight by volume and exception risk, then treat the tail differently

An unweighted shipment count treats a lane with 400 loads a month and a lane with four the same way. Weight coverage by volume and the picture usually improves, because your largest carriers are your best instrumented. Weight it by exception risk and the picture usually worsens, because your worst-covered carriers serve your most difficult stops.

Both views are needed, and together they produce the honest conclusion. Carrier bases are concentrated: if the top twenty carriers move 80% of volume, instrumenting twenty relationships gets you most of the way, and the remaining 20% sits across hundreds of small operators where per-carrier integration will never pay back. For that tail the answer is not a better carrier feed. It is a different mechanism: a driver application, a milestone-based status rather than continuous position, or a recipient confirmation. Accepting that some volume gets milestone coverage rather than live position, and saying so in the report, is more useful than an average that implies uniformity.

Five questions to ask about a visibility coverage claim

Which of the four conditions does your number measure? If the answer is integration, three conditions are unmeasured. This one question usually reframes the whole discussion.

What is the reporting interval distribution, not the average? An average hides the carriers that will fail. Ask for the share of shipments whose newest position is older than your decision window.

What share of received position records resolve to an order? This is a single query against your own data and it is the factor most often assumed rather than checked.

How are subcontracted legs identified? Ask what happens in the data when a carrier tenders onward. If nothing changes, subcontracted movements are being reported as covered.

Is coverage reported weighted by volume and by exception rate? Ask for both. The divergence between them tells you whether your instrumentation is pointed at your risk or at your convenience.

What this looks like in enterprise deployments

A Fortune 50 parcel operation running centralized dispatch across a 120-country network handles more than a million freight shipments a year across 51 sites with a 4,500-strong driver pool split between captive and third-party. That split is the coverage funnel made concrete. The captive half can be instrumented directly through a first-party application, while the third-party half depends on what each provider transmits, and treating the two as one population produces a number that describes neither. The deployment lifted weekly execution adherence from 75% to 92% and surfaced more than $14 million of unused capacity, including $565,000 at a single site, which was found by making the two populations separately visible rather than by averaging them.

A paint industry leader running automated freight reconciliation across 160 depots processes more than 1,500 carrier invoices a month and caught 5 to 6% variance above contracted rates, cutting payment cycles from 30 to 45 days down to 7 to 10. The relevance here is where the variance was: in the long tail of local movements, the same carriers who sit at the bottom of the coverage funnel. Variance concentrates in the carriers you monitor least, which is the pattern the funnel predicts and the reason a volume-weighted view alone is not enough.

Four mistakes shippers make on coverage

Reporting integration as coverage. Integration is a contract state. Coverage is a data state. A carrier can be fully integrated and transmitting nothing this week, and the dashboard will not distinguish those cases unless somebody asks it to.

Chasing telematics penetration first. It is the most visible factor, the one with a procurement lever, and the weakest source of gain because it is already near ceiling. The arithmetic says fix freshness first.

Averaging across a base that is not homogeneous. Owned fleet, contracted carriers and spot capacity have different coverage physics. A blended figure is the average of a solved problem and an unsolved one, and it moves only when the solved half grows.

Assuming the tail can be closed. Hundreds of small carriers will not integrate on your timeline or your economics. Planning as if they will is what leaves the tail with no mechanism at all, when a milestone status or a driver application would have covered it adequately.

How Locus approaches multi-carrier coverage

Locus, the world’s first Decision-Intelligent, Agentic TMS, is built for operations where one plan runs across owned fleet, contracted transporters and a network of more than 1,000 carriers, which is the condition that creates the funnel in the first place. The Control Tower consolidates those sources into one operational picture, and the value is not that everything looks the same but that each source can be seen for what it is.

Three capabilities map onto specific factors. The Driver Companion App supplies a first-party feed on owned and contracted movements, which addresses telematics and freshness together on the volume you control rather than negotiating for them. ShipFlex and Carrier Management hold the carrier relationships, allocation rules and performance history, so coverage can be recorded as a carrier attribute alongside cost and serviceability and priced into allocation. Explainability and Traceability record the trigger, context, reasoning, action and outcome per decision, which is what allows a missing-feed event to be counted rather than silently absorbed.

Two boundaries are worth stating. Locus cannot manufacture a feed a carrier will not share, and no platform can. Where a carrier transmits nothing, the honest product behavior is to mark the shipment as unmonitored rather than infer a position, because an inferred position that looks like a measured one is worse than a visible gap. Second, coverage as an allocation input requires a decision from you. Declining to tender to a carrier with a poor feed has a cost, and whether visibility is worth that cost on a given lane is a commercial judgment the platform should inform rather than make.

Locus supports more than 360 enterprise customers across 30-plus countries, with over 1.5 billion deliveries optimized, more than $320 million in documented client logistics savings and 99.99% uptime. It has been recognized by Gartner for seven consecutive years, featured in the 2026 Hype Cycle for Supply Chain Execution and Logistics Technologies, named a Leader in TMS by QKS Group (SPARK Matrix), and ranked #1 in Route Planning on G2’s 2026 Best Software Awards.

In October 2025, Ingka Investments, the investment arm of Ingka Group, the world’s largest IKEA retailer, acquired Locus. Locus continues to operate independently.

So what is your real visibility coverage? Whatever the product of four independent conditions comes to, which is a number most operations have never computed. A carrier having telematics, sharing the feed, the feed mapping to your order and the data being fresh enough to act are separate requirements, and at 95%, 85%, 90% and 80% they multiply to 58.1% actionable against a reported 95%. Adding subcontracting at an 85% no-subcontract rate takes it to 49.4%. The gain is largest where the factor is weakest, so freshness at 80% returns 7.3 points for ten points of improvement while telematics at 95% returns 3.1, which inverts the usual program priority. And because 91.5% of US motor carriers operate 10 or fewer trucks, the tail cannot be integrated economically and needs milestone coverage rather than live position. Locus addresses the controllable part by supplying a first-party feed through the Driver Companion App, holding coverage as a carrier attribute in ShipFlex and Carrier Management so it can be priced into allocation, consolidating every source in the Control Tower, and marking unmonitored shipments as unmonitored rather than inferring a position. Request a Locus visibility assessment to compute your own four factors.

Frequently Asked Questions

What is visibility coverage and how should it be calculated? It is the share of shipments for which you hold position and status data you can act on, and it is the product of four independent conditions: the carrier has telematics, shares the feed, the feed maps to your order, and the data is fresh enough for the decision. At 95%, 85%, 90% and 80% the product is 58.1%.

Why does my platform report 95% when the real number is lower? Because the reported figure almost always measures the first condition only, usually shipments moving on carriers with a live integration. Integration is a contract state rather than a data state, so a fully integrated carrier transmitting nothing this week still counts as covered.

Which factor should I fix first? The weakest one, because marginal return is largest where the factor is smallest. Lifting freshness from 80% to 90% adds 7.3 points, while lifting telematics penetration from 95% to 100% adds 3.1. Telematics gets chased first because it has a procurement lever, not because it pays best.

How does subcontracting affect coverage? It adds a fifth term. When a carrier tenders your load onward, the vehicle belongs to a company you never contracted, and the tracking identifier breaks at a handoff invisible in your data. At an 85% no-subcontract rate the same funnel falls from 58.1% to 49.4%.

Why is coverage worst where I need it most? Because 91.5% of the almost 580,000 active US motor carriers operate 10 or fewer trucks, and small operators run the thinnest telematics while frequently serving rural lanes, secondary markets and difficult final miles. Coverage and exception risk are inversely correlated, and any unweighted average conceals that.

Can I close the coverage gap across my whole carrier base? Not economically. If your top twenty carriers move 80% of volume, integrating twenty relationships captures most of the value and the remaining hundreds will never pay back a per-carrier integration. For that tail the right answer is a milestone status, a driver application or a recipient confirmation, reported as such rather than blended into an average.

How should coverage be reported to leadership? Two weighted views, not one. Weighted by volume it shows whether your instrumentation follows your spend; weighted by exception rate it shows whether it follows your risk. The divergence between them is the finding, and a single unweighted percentage hides it.