How to Analyze Recurring Freight Lanes
Learn how to analyze recurring freight lanes using reconciled shipment records, comparable segments, cost metrics, and service outcomes.
Analyze a recurring freight lane by grouping genuinely comparable shipments, reconciling quoted and billed costs, measuring service outcomes, and separating changes in the freight from changes in carrier pricing or performance. The useful unit of analysis is not simply a city pair. It is a defined origin, destination, shipment profile, service requirement, and time period.
Start with records the business already owns: quote results, bills of lading, invoices, tracking events, delivery receipts, adjustment explanations, and claims. Normalize those records before calculating averages. Then review the lane by shipment type, carrier, season, and exception pattern. The result should show what normally happens, what changes the result, and which assumptions need to be carried into the next quote or pricing discussion.
Define the lane precisely
Write a lane definition that another reviewer could reproduce. Include:
- origin and destination postal codes and facility types;
- direction of travel, because the reverse move is a different lane;
- typical pickup days or frequency;
- commodity descriptions and applicable NMFC items and classes;
- handling-unit count, packaged dimensions, gross weights, and stackability;
- required pickup and delivery services;
- service level and any purchased guarantee;
- payer and relevant account or pricing program; and
- the date range being analyzed.
Do not combine shipments merely because they share a metro area. A dock-to-dock commercial shipment and a liftgate delivery to a limited-access site can have different service requirements and billed totals. Likewise, a weekly pallet and an occasional large volume shipment may need separate segments even when they use the same origin and destination.
ArcBest’s current LTL request-for-proposal guidance recommends building a detailed profile of shipment frequency, volume, destinations, and special-handling requirements. That same discipline makes a lane review credible before it is ever used in an RFP.
Build one reconciled shipment table
Use one row per shipment. Preserve source identifiers so a reviewer can trace every value back to the quote, shipping document, invoice, or carrier event.
| Field group | Fields to retain |
|---|---|
| Lane | Origin, destination, facility type, pickup date, delivery date |
| Freight | Handling units, packaged dimensions, gross weight, commodity, NMFC item, class, stackability |
| Service | Carrier, service level, required accessorials, estimated transit, guarantee if purchased |
| Quote | Quote reference, quoted base or net amount, fuel, services, expiration or effective date |
| Invoice | Billed linehaul or net amount, fuel, accessorials, adjustments, taxes where applicable, total |
| Outcome | Pickup result, delivery result, damage or shortage notation, claim, billing dispute |
Keep blank values blank rather than guessing. If dimensions, class, or an accessorial cannot be verified, flag the row and decide whether it belongs in a narrower analysis. Missing data is itself an operational finding, but it should not be silently converted into a clean-looking average.
Normalize before comparing
Recurring does not mean identical. Create comparison groups whose freight and service requirements are close enough to support a fair review.
Useful segments may include:
- the same origin and destination postal-code pair;
- the same facility types;
- similar handling-unit counts and weight ranges;
- the same commodity or classification treatment;
- stackable versus non-stackable freight;
- standard versus guaranteed or expedited service;
- liftgate, appointment, limited-access, residential, or inside service; and
- normal weeks versus known seasonal or promotional peaks.
Do not normalize away a real cost driver. If one shipment required a destination appointment, retain that fact and its charge. If a billed class differs from the quoted class, preserve both values and the carrier’s explanation. The purpose is to compare like with like while keeping the exceptions visible.
Current NMFTA guidance describes class through density, handling, stowability, and liability. That is why a shipment cannot be normalized from weight alone. Use the current commodity description and classification that apply to the freight as packaged.
Reconcile quote, shipment, and invoice
For every included shipment, compare three records:
- The quoted record: the freight facts, services, date, and pricing reference submitted for the quote.
- The tendered record: what the carrier actually received, as shown by the shipping document and verified shipment details.
- The billed record: the charges, adjustments, and governing references on the invoice.
Classify each variance instead of labeling every difference an error. A quote-to-invoice difference may result from changed dimensions, weight, class, service, location type, timing, or the application of a carrier rule. It may also be a billing issue that requires correction. Retain the evidence and outcome.
Measure both the quoted and billed all-in amounts. A base-rate trend can be useful, but it does not capture fuel, required services, minimum charges, or shipment-specific adjustments. ArcBest’s current RFP guidance similarly advises evaluating full cost, including accessorials, fuel, service, and potential disruptions rather than relying on the standard rate alone.
Calculate metrics that answer a decision
Choose metrics because they support a business question, not because they are easy to chart.
Cost and billing
- billed all-in cost per shipment;
- quoted-to-billed variance, with reason codes;
- accessorial frequency and amount by type;
- adjustment frequency by cause; and
- dispute frequency, disposition, and time to resolution.
Cost per pound or per handling unit can help compare similar freight, but either metric becomes misleading when shipment dimensions, class, commodity, or services differ. Show the underlying shipment counts and ranges beside an average.
Service
- pickup completion against the requested window;
- actual transit time;
- delivery performance against the carrier’s applicable estimate or purchased commitment;
- appointment or notification exceptions;
- damage, shortage, and claim frequency; and
- tracking-event completeness when it matters operationally.
Estimated transit is not a guarantee. Record the service that was actually purchased and the terms that applied before calling a delivery early or late.
Volume and consistency
- shipments and handling units by week or month;
- total and median shipment weight;
- recurring pickup-day pattern;
- seasonal concentration; and
- share of the lane tendered to each carrier.
ArcBest’s current shipping-data guidance identifies costs, delivery times, freight size and weight, damage, late delivery, and lane patterns as useful inputs for logistics decisions. Use those categories as a starting point, then define each metric for the business’s own records.
Read distributions, not just averages
An average can hide two different operating patterns. Show at least the median, range, and shipment count for the period. Review outliers individually.
For example, a lane may appear to have an accessorial problem when three shipments went to a different facility type. A transit average may worsen because a holiday week or customer-closed day was included. A cost increase may reflect heavier freight rather than a changed rate. Separate those explanations before drawing a conclusion.
Avoid universal thresholds such as declaring a lane healthy when variance is below a fixed percentage. Tolerance depends on shipment value, volume, service needs, contracts, and the cost of failure. Set internal review thresholds from the business’s operating requirements and document them.
A worked analysis without invented rates
Suppose a business reviews twelve weeks of palletized LTL shipments between the same two facilities. Most shipments share the same commodity, handling-unit pattern, standard service, and dock access. A few weeks include an additional pallet, and two deliveries require appointments.
The analyst first separates the appointment shipments and the higher-volume shipments. For the remaining core group, the analyst reconciles each quote and invoice, records fuel and all services, and compares carrier service outcomes. One carrier has a lower typical quoted amount, but several invoices differ because the submitted dimensions did not match the tendered freight. Another carrier has a higher typical quote and fewer billing variances.
The correct conclusion is not that either carrier is universally cheaper or better. The lane review should identify the bad dimensioning process, model both carriers with the corrected shipment profile, compare the complete current options, and retain the service evidence. If the next quotes change, the business can distinguish the effect of corrected freight data from a change in pricing.
This example supplies a method, not a savings forecast or carrier recommendation.
Use external freight data carefully
Public datasets can provide market or planning context, but they do not replace the business’s shipment records or live carrier quotes.
The Bureau of Transportation Statistics’ Freight Analysis Framework estimates freight flows by weight, value, activity, mode, commodity, and broad geographic zone. The Commodity Flow Survey provides observed origin, destination, value, weight, commodity, and mode data for in-scope establishments. Both are useful for studying national or regional freight patterns.
Neither dataset states what a specific LTL carrier will quote for one pallet between two postal codes, what services are included, or how a shipper’s pricing agreement applies. Do not use an aggregate public flow estimate as a carrier rate, transit promise, or capacity commitment.
Decide what the lane review should change
A finished analysis should lead to a specific next action, such as:
- correct recurring dimension, weight, commodity, class, or accessorial data;
- request comparable current quotes with one normalized shipment record;
- investigate a repeated billing variance;
- revise packaging or facility instructions;
- review carrier fit for the lane and required services;
- prepare an RFP using a defensible lane profile;
- create a backup option for a documented service risk; or
- continue monitoring because the evidence does not yet support a change.
Set the next review based on the lane’s volume, volatility, and business importance. Also trigger a review when the freight profile, facility, service requirement, carrier rules, pricing agreement, or shipment mix materially changes.
Prepare the next recurring-lane quote
Bring the final origin and destination, facility types, pickup date, packaged dimensions and gross weights, handling-unit count, commodity descriptions, current NMFC items and classes when known, truthful stackability, and every required pickup or delivery service.
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