Freight and Logistics Spend Reduction

13 min read·
financeprocurementlogisticscost reduction

Freight is one of the few cost lines where a mid-market company can find savings without touching product or people, but only if the spend is first broken down by lane, mode, and cause. This guide shows how to build a freight baseline, separate rate problems from behavior problems (expedites, accessorials, poor consolidation), size each lever, run a carrier rebid, audit invoices, and keep savings from leaking back. A worked example sizes five levers against an illustrative $3.2M spend.

Reviewed by Reid, Working Capital & Cash Flow Optimization Specialist — drafted using Performis's own agentic AI process, reviewed and edited before publishing.

Executive summary

Freight spend is easy to ignore because it arrives in small invoices from many carriers, gets coded to several accounts (cost of goods sold, selling expense, inventory), and is paid by people who did not decide the shipment. In many mid-market companies nobody can say, within a few percent, what the company spends on freight in total, let alone by lane or by cause.

That is where freight cost reduction starts. This guide separates freight savings into five kinds of lever:

  1. Rate: paying less for the same shipment (carrier rebid, contract terms, fuel and accessorial schedules).
  2. Mode and service: using the right mode and service level (full truckload instead of repeated less-than-truckload, ground instead of air).
  3. Behavior: shipments that cost more because of how the company operates (expedites, late orders, split shipments, small orders).
  4. Leakage: paying for things you should not (billing errors, duplicate charges, unauthorized accessorials).
  5. Structure: network and packaging choices (origin points, consolidation, pack size, inbound terms).

Rate is the lever everyone reaches for first. It is often not the largest. Behavior and mode usually need cooperation from sales, operations, and customers, which makes them slower, but they also persist, because they change how the work is done and not only the price.

The method below builds a baseline, ranks the levers by size and difficulty, and ends with a tracking approach so that savings are measured against a baseline and not against a hope.

When to use this

Use this guide when:

  • Freight or logistics cost has risen as a share of revenue and the cause is unclear.
  • Premium or expedited freight shows up in the monthly close with no explanation.
  • The carrier contracts are more than two or three years old, or nobody can find them.
  • Customers' delivery expectations have changed and you are not sure which service levels you are paying for.
  • You are in a spend program (see the procurement playbook) and need to size freight against other categories.
  • A buyer or lender has asked about cost of goods and gross margin drivers.

Do not start with a carrier rebid if you cannot produce shipment-level data. A rebid without lane and volume data hands the carriers all the information advantage.

Diagnostic questions

  1. What was total freight and logistics spend over the last twelve months, summed across every account where it is coded: inbound, outbound, intercompany, and customer-paid or recharged?
  2. Can you get shipment-level data (date, origin, destination, weight, mode, carrier, charge, accessorials) from carriers, your transport system, or the ERP?
  3. How much of spend is inbound (paid by you on purchases) and how much outbound (shipping to customers)? Who controls the terms in each case?
  4. What share of shipments is premium, expedited, or air, and who authorized them?
  5. What are the top 20 lanes by spend, and are they covered by contract rates or going at spot or list rates?
  6. How many carriers do you use, and what share of spend sits with the top three?
  7. What accessorial charges (liftgate, residential delivery, detention, redelivery, reweigh) appear on invoices, and which of them were requested or avoidable?
  8. Who audits freight invoices against contracted rates and shipment records before payment?
  9. How often do customers receive multiple shipments for one order, or small orders that ship alone?
  10. Do customer terms (free freight thresholds, delivery windows) match the cost of service?
  11. When were carrier contracts last bid, and when do they expire?
  12. Are fuel surcharges and other formula-based charges reviewed against the contract?

Reading the answers: if question 1 cannot be answered, start by building the baseline. If question 4 shows premium freight without an owner, behavior is likely your biggest lever. If question 8 is "nobody", the first money is in invoice audit.

The framework: baseline, lever, size, sequence

Baseline

Build one table of freight spend with the same structure for every lane:

Field Why it matters
Direction (inbound, outbound) Different owners and levers
Mode (parcel, LTL, truckload, air, ocean, expedite) Mode shift is a lever
Carrier Rebid and consolidation
Origin, destination, lane Rate benchmarking and consolidation
Weight, pallets, or cubic volume Cost per unit
Base charge, fuel, accessorials Where the money goes
Reason code for service level Premium freight cause
Customer or PO Recovery from customers and root cause

Reconcile the total to the ledger. Freight cost is often spread across inventory, COGS, and selling expense, so reconcile by summing every account where it appears.

Ratios to compute

Freight % of revenue = Total freight spend ÷ Revenue
Cost per shipment = Total freight charges ÷ Number of shipments
Cost per unit shipped = Total freight charges ÷ Pounds, pallets, or units shipped
Premium share = Spend on expedited or premium services ÷ Total freight spend
Accessorial share = Accessorial charges ÷ Total freight spend

Compare each ratio to your own history, by lane and by customer segment, and to the contract. Outside benchmarks vary widely by product density, region, and service level, so use them only as a sanity check from a named public source.

Levers and how to size them

Lever What to examine How to size it
Premium and expedited freight Reason codes, who ordered, what caused the urgency Spend on avoidable expedites × share you can eliminate, after a root-cause review
Mode shift Repeated LTL on lanes where weight justifies truckload; air where ground would do Current cost on those lanes − cost under the alternative
Carrier rebid Lanes with volume, expiring contracts, rate gaps between carriers Volume × rate difference on each awarded lane
Invoice audit and recovery Billing against contracted rate, duplicates, unauthorized accessorials Recovered amount from a sample, extrapolated cautiously
Parcel optimization Service levels, dimensional weight, negotiated discounts Spend × realistic reduction per tested change
Consolidation and order policy Minimum order size, delivery day grouping, free-freight thresholds Shipments avoided × average cost, net of customer impact
Packaging and cube Pack size, void fill, dimensional weight triggers Cost per shipment before and after
Network and terms Origin points, inbound freight terms (FOB), vendor routing guides Spend on affected lanes × modeled reduction

Size every lever with a formula and a stated assumption. Where the assumption is uncertain, show a low and high case.

Sequence

Do audit and expedite root cause first, because they require little customer or carrier cooperation and fund the later work. Start the rebid in parallel once the baseline is clean. Follow with mode, consolidation, and policy changes, which need sales and operations to agree.

Step-by-step process

  1. Pull twelve months of shipment and invoice data from carriers, the transport system, and the ledger. Owner: Procurement with Controller. Output: a clean shipment table that reconciles to total freight spend.
  2. Compute the baseline ratios by lane, mode, carrier, and customer segment. Owner: FP&A. Output: baseline one-pager.
  3. Tag premium freight by reason and requester. Owner: Operations. Output: root-cause table for expedites.
  4. Run an invoice audit on a sample of recent invoices against contract rates and delivery records, then decide whether to audit all invoices continuing. Owner: AP and Procurement. Output: recoverable amount and the cause of each error type.
  5. Size the levers with formulas and assumptions. Owner: Procurement and FP&A. Output: lever table with low, base, and high cases.
  6. Decide the rebid scope: which lanes, what volume commitments you can honestly make, contract length, and incumbent treatment. Owner: Procurement with Operations. Output: bid package. See the vendor consolidation playbook for running the process.
  7. Run the rebid with a clear lane file and the same service requirements for each bidder. Owner: Procurement. Output: bid comparison on total landed cost, not rate per mile alone.
  8. Align operations and sales on policy changes: expedite approval, minimum orders, delivery-day grouping, free-freight thresholds. Owner: COO and Sales lead. Output: written policy with a named approver.
  9. Implement and lock in the contract: rates, fuel formula, accessorial schedule, service levels, claims process, and review dates. Owner: Procurement with counsel on terms. Output: executed agreements.
  10. Track savings monthly against the baseline by lever, with volume and mix adjusted. Owner: FP&A. Output: tracker reviewed in the monthly operating review.
  11. Set an approval rule for premium freight so that every expedite has a named approver and a reason code. Owner: COO. Output: policy and report.

Templates

Lane baseline

Lane (origin to destination) Mode Carrier Shipments Weight or pallets Total charge Cost per unit Contract rate? Premium share

Lever sizing table

Lever Baseline spend affected Assumption Low Base High Owner Dependency

Premium freight log

Date Order or PO Mode used Premium cost Standard cost Reason code Requested by Approved by Avoidable?

Carrier scorecard

Carrier Spend On-time % Claims rate Billing accuracy Responsiveness Notes

Worked example

Illustrative. All numbers are made up to show the method. They are not benchmarks, and each assumption would need to be tested with your own data.

A manufacturer with $40.0M of revenue spends $3.2M a year on freight in total.

Ratio: $3.2M ÷ $40.0M = 8.0% of revenue.

Baseline by mode:

Mode Annual spend
Less-than-truckload (LTL) $1,200,000
Truckload $1,100,000
Parcel $600,000
Expedited and premium $300,000
Total $3,200,000

Lever sizing (base case):

Lever Assumption Saving
Expedite reduction Root-cause review finds 30% of the $300,000 premium spend avoidable $90,000
Mode shift Two LTL lanes costing $300,000 move to consolidated truckload at $210,000 $90,000
Invoice audit Recovery and prevention of overcharges equal to 1.5% of total spend $48,000
Truckload rebid 3% rate reduction on $1,100,000 $33,000
Parcel optimization 4% reduction on $600,000 from service-level and packaging changes $24,000
Total $285,000

Check: 0.30 × $300,000 = $90,000; $300,000 − $210,000 = $90,000; 0.015 × $3,200,000 = $48,000; 0.03 × $1,100,000 = $33,000; 0.04 × $600,000 = $24,000. Sum: $285,000, which is 8.9% of the $3.2M freight spend. Freight after savings is $3,200,000 − $285,000 = $2,915,000, or 7.3% of revenue, a reduction of 0.7 points from 8.0%.

What the example shows.

  • Only $33,000 of the $285,000 comes from the rebid. Most of the saving is behavior (expedites), mode, and leakage. A program that only rebids carriers would miss most of it.
  • The mode-shift saving depends on weight and timing: truckload is cheaper per pound only if the shipment fills enough of the trailer. The two lanes need enough volume or consolidation to justify it.
  • The invoice audit number is the most uncertain. Size it from a sample before including it in a plan.
  • The expedite saving needs an owner outside procurement. If expedites come from late customer orders or production delays, the fix is in sales or operations.
  • The assumptions should each be tested: pull the lane data, run the sample, confirm with operations. Treat the table as a hypothesis ranking, not a forecast.

Metrics and KPIs

Metric Formula Data source
Freight as % of revenue Total freight spend ÷ revenue Ledger, all freight accounts
Cost per shipment Freight charges ÷ shipments Carrier and TMS data
Cost per unit shipped Freight charges ÷ pounds, pallets, or units Carrier data and ERP
Premium share Premium spend ÷ total freight spend Premium freight log
Accessorial share Accessorial charges ÷ total freight spend Carrier invoices
Billing accuracy Invoices matching contract and shipment ÷ invoices audited Audit results
On-time delivery by carrier Deliveries on time ÷ deliveries Carrier data and receipt records
Share of spend under contract Spend on contracted lanes ÷ total spend Lane baseline
Realized saving Baseline cost per unit − current cost per unit, × current volume Tracker and ledger

Targets by method. Set freight targets from your own history and contracts: your best trailing quarter cost per unit by lane, the contracted rate as the floor for each lane, and a premium share limit based on what the root-cause review shows is truly unavoidable. Avoid applying a general "freight as a percent of sales" figure to your own business. Product density, geography, and customer promises differ too much. If you want an outside reference, use disclosures from named public peers with a similar product and service model.

Common mistakes

  1. Rebidding before cleaning the data. Carriers will price the lanes you show them. Hand them a messy file and they will price in the uncertainty.
  2. Awarding on rate per mile or per pound alone. Compare total landed cost, including fuel, accessorials, claims, and service failures.
  3. Chasing rate while behavior stays unchanged. If expedites continue, rate savings will be offset.
  4. Promising volume you cannot deliver. Volume commitments in a bid that you miss produce penalties or lost rates.
  5. Pushing cost to customers without sales involvement. Freight terms are a commercial decision as well as a cost one.
  6. Counting savings against a drifting baseline. Adjust for volume, mix, and fuel prices. A saving that is just lower volume is not a saving.
  7. Ignoring inbound freight. Vendor terms (FOB origin versus delivered) move cost between you and the supplier. Review them with the purchase price.
  8. Unclear freight ownership. If freight sits in three accounts and three owners, nobody manages it.
  9. No audit after the contract. Contract rates only matter if invoices are checked against them.
  10. Treating carrier contracts as permanent. Review dates and lane-level performance reviews keep rates honest.

AI prompt assistance

AI is helpful for cleaning data and drafting analyses. It does not see your lanes, your contracts, or your customers, so supply the data and verify the results.

1. Clean and classify a shipment file.

Here is a CSV of freight invoices with free-text service descriptions. Classify each row into one mode (parcel, LTL, truckload, air, expedited, other) and flag accessorial charges. Return a pivot of spend by mode and by accessorial type, and list rows you could not classify with confidence.

Check: total spend in the pivot must match the file total. Spot-check twenty rows.

2. Find lanes worth a closer look.

From this lane table, rank lanes by total spend, and for each of the top 20 compute cost per unit and the share of shipments that moved by LTL. Flag lanes where weekly weight suggests a consolidated truckload might fit.

Check: confirm weights and delivery windows with operations. AI cannot know your customers' delivery requirements.

3. Compare bids.

Here are three carrier bids on the same lane file. Normalize them to total annual cost using our volumes, including fuel and accessorial assumptions as stated, and show the difference between each bid and our current cost by lane.

Check: recompute two lanes by hand and confirm the fuel and accessorial assumptions are identical across bidders.

4. Draft the monthly savings summary.

Given this lever tracker and monthly volumes, write a half-page summary: savings realized by lever, adjusted for volume and mix, levers behind plan, and decisions needed from operations or sales.

Check: tie every dollar figure to the tracker and the ledger.

Implementation guide

Phase Timing Owner Exit criteria
Baseline Days 1-30 Procurement, Controller Shipment data reconciles to the ledger; ratios computed
Quick wins Days 15-60 AP, Operations Invoice audit sample done; premium freight log and approval rule in place
Rebid and mode Days 45-120 Procurement, Operations Bid package issued; mode changes tested on pilot lanes
Policy and contracts Days 90-150 COO, Sales, counsel Policies approved; contracts executed with review dates
Sustain Ongoing FP&A, Procurement Monthly tracker; quarterly carrier reviews; annual rebid calendar

Governance: the COO owns premium freight and service policy, Procurement owns carrier relationships and the rebid, the Controller owns the baseline and invoice controls, and Sales owns customer terms. Carrier agreements and customer terms follow your own contracts, and counsel should review changes.

Downloadable assets

The lane baseline, lever sizing table, premium freight log, and carrier scorecard above are laid out to be copied into a spreadsheet. The spend cube starter can help with the category-level view that puts freight next to your other indirect and direct spend categories.

Related resources

Frequently asked questions

How do I reduce freight costs?

Start by building a baseline of spend by lane, mode, and carrier. Then size five kinds of lever: rate, mode and service, behavior such as expedites, invoice leakage, and structure such as consolidation. Do the invoice audit and expedite root-cause first, run a carrier rebid in parallel, and track savings against volume-adjusted baselines.

How much can a company save on freight?

It depends on your starting point, and any generic percentage is a guess. Size savings from your own data: avoidable premium freight, lanes where mode shift pays, invoice errors found in an audit sample, and the rate gap on lanes you rebid. Treat each estimate as a hypothesis until you test it.

Is a carrier rebid the best first step?

Not usually. A rebid needs clean lane and volume data, and it addresses only the rate. Invoice audit and premium freight root-cause work are faster, need less outside cooperation, and often reveal where volume and service requirements should be set before you ask carriers to bid.

What is freight audit?

Freight audit is checking carrier invoices against contracted rates, shipment records, and delivery confirmation before payment. It finds duplicate charges, rate errors, and unauthorized accessorials. Start with a sample of recent invoices to size the problem, then decide whether to audit every invoice in-house or through a service.

Who should own freight spend?

One named person should own the total, usually in operations or supply chain, with procurement owning carrier contracts and finance owning the baseline and invoice controls. Sales should own customer delivery terms. Split ownership without a single owner is the usual reason freight cost drifts unnoticed.

How this works in a System of Performance

Freight savings leak back when the baseline, the contracts, and the premium freight decisions live in different places. A Performis routine can take on a recurring job like this, with the scope and fit agreed with you: it works from the records your team supplies, prepares the work for your named reviewer, and keeps each approval on record. If you want to see where your own freight cost comes from, bring it to us as a launch partner.

Free template for this topic

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