Carrier portals spit out reports, TMS platforms export CSVs, and employees create spreadsheets that no one looks at. Shippers know the importance of measuring operational data, but the real issue is following through on the information they provide. 

Meanwhile, ATRI’s 2026 benchmarking report put average truck operating costs at a record $2.34 per mile for 2025, up 3.4% year over year. LTL carriers averaged $2.58. When freight costs rise faster than inflation, you can’t run your business on gut instincts and quarterly reviews. You need data. But logistics data is only useful when it is linked to a small set of KPIs that someone actually monitors and acts on.

The Definition Problem

You need to agree on what the metrics mean before you even decide which ones to track. The most common example is on-time delivery (OTD) and what exactly it means to every stakeholder involved. Does “on time” mean the truck was delivered within the appointment window or by the end of the day? Or by the date the carrier gave at tender? 

Shippers can be scored differently based on the definition. A shipper that has 96% OTD under one definition may be 88% under another. What version of “on time” do you use when benchmarking against an industry target of 95%? 

The KPIs Worth Watching

A few KPIs make a real difference in how effective your logistics data is.

On Time In Full (OTIF)

This one merges delivery timing and order accuracy into one number. It’s harder to game than OTD by itself because if a shipment arrives on Tuesday but is missing two pallets, it still fails. Track it by carrier and lane. If a particular lane is below your baseline for three weeks in a row, then consider it a routing or capacity problem instead of bad luck.

Freight Cost Per Unit Shipped

Cost per mile gets the headlines, but cost per pallet, case, or pound shipped shows you more about whether you’re really getting value from your freight shipping spend. A cheap per-mile lane can be a money pit if the truck runs half empty or accessorial charges keep piling up. Get this number each month, compare it lane to lane, then look for the ones that drift without anyone noticing.

Tender Acceptance Rate

If you post a load for bid and carriers turn it down, that is telling you something about your pricing, your facility’s reputation, or the lane’s attractiveness. A consistent tender rejection rate above 15-20% on a lane is an indicator. Either the rate is below market, or the pickup experience is so bad that carriers pass on it. Both of these can be fixed, but only if you’re looking at the data.

Dwell Time at Dock

Detention costs money. But the larger issue is the impact it has on the rest of the carrier’s day. A driver who is delayed at your dock three hours past the appointment can’t make the next pickup. And that hits your scorecard. If you track average dwell time by facility and shift, you get a number to bring to conversations with warehouse operations, where the fix usually is.

Temperature Excursion Rate

If you ship perishables or temperature-sensitive products, this is near the top of the list because one trip can destroy a whole load. Track reefer shipments as a percentage of total reefer shipments and put a ceiling on them — something like less than 1%. If you see excursions clustered on a particular lane or carrier, that is a conversation about equipment age, precool procedures, or monitoring gaps.

Turning Numbers Into Decisions

Set baselines based on your own history because your freight mix and service requirements are probably different from whatever sample created those benchmarks. Review them weekly or biweekly with your logistics team, monthly with your carriers, and quarterly against your own year-over-year trend lines to see if improvements are sticking or just seasonal noise. Look for trends over three or four weeks, rather than just react to one bad shipment. A one-week spike in dwell time could be a holiday staffing problem. But a six-week trend is a process problem.

How EFS Helps You Put This Into Practice

Entourage Freight Solutions incorporates all these measurements into how we move freight. These KPIs aren’t just monthly aggregates; the data behind them exists at the load level because each shipment is tracked from cradle to grave. IoT-enabled temperature monitoring on reefer shipments catches in-transit excursions before a rejected load shows up as a line item on next month’s report.

With a network of 4,500+ dry freight carriers and 3,500 prequalified reefer carriers, you can act on scorecard data and shift volume to the carriers that perform. And with 24/7 operations staffing, exceptions are handled in real time instead of waiting for someone to open a ticket Monday morning. If you are ready to stop guessing and start measuring what matters, EFS is a good place to start that conversation. Contact us today to get started.