Supply Chain & Logistics
Single-digit margins leave very little room for invisible losses.
Regional carriers, freight brokerages, third-party logistics providers, independent warehousing operators, and manufacturers running one or two plants all work within the same narrow band. Operating margins across transportation and warehousing sit consistently in the single digits, which means that fuel volatility, insurance increases, and tariff exposure pass almost directly through to the bottom line. What makes this survivable is capturing everything you have already earned, and that is precisely where most operations quietly lose ground.
What we see most often
The same five problems, in roughly the same order.
Organizations that have outgrown their data foundations tend to arrive at a recognizable set of symptoms, and seeing three or four of them together usually says more about the stage you have reached than about anything your team has done wrong.
Revenue leakage you cannot see from the P&L
Billable accessorial services such as layovers, detention hours, re-weighs, fuel surcharges, and specialized storage handling routinely go unrecorded or unbilled. Combined with manual freight auditing and uncollected maintenance warranty claims, systemic leakage runs between 3% and 15% of annual top-line revenue, and almost none of it appears as a line item anyone reviews.
Dispatch, warehouse, and finance cannot see each other
Transportation management, warehouse management, ERP, telematics, and a substantial quantity of spreadsheets tend to operate as separate islands. Without real-time integration between them, dispatchers, terminal managers, and finance staff each work from a partial picture, which delays decisions and hides problems until they become expensive.
Detention is costing you drivers as well as hours
The sector faces a shortfall of roughly 64,000 qualified long-haul drivers, and uncompensated dock detention makes that shortage considerably worse. Hours spent waiting at a shipper degrade job satisfaction, accelerate turnover, and reduce tractor-trailer utilization across the fleet at the same time.
Shippers expect visibility you cannot currently provide
Corporate shippers now assume continuous freight visibility, automated status notifications, and accurate arrival estimates as a baseline. Providers who answer those expectations with phone calls and email are the ones who lose accounts to tech-enabled competitors when a disruption occurs.
Nobody agrees on cost per mile
Master data management is rarely formalized at this scale, so cost-per-mile, customer profitability, driver utilization, and inventory turns get calculated differently depending on which system and which analyst produced the number. Pricing decisions then rest on figures that cannot survive scrutiny.
By the numbers
What the research shows.
3–15%
Annual top-line revenue lost to systemic leakage
~64,000
Estimated shortfall of qualified long-haul drivers
20%
Of eligible warranty and contract reimbursements go unclaimed
241/500
Average Data Execution Quality across mid-market firms
What it costs to leave alone
On a $100 million operation, billing error rates of 3% to 5% combined with unbilled accessorials and uncollected warranty claims translate into several million dollars of annual drag. Because each individual instance is small, the loss never announces itself, and it compounds year over year while margins stay thin enough that recovering even part of it would change the shape of the business.
The question everyone asks
“Why can't we just use ChatGPT, Claude, or Gemini for this?”
A general-purpose model has no connection to your transportation management tables, dock schedules, telematics streams, or customer rate structures, so it cannot verify trailer availability or retrieve a current fuel surcharge. It also calculates probabilistically rather than deterministically, which makes it unreliable for freight density, multi-stop routing, and detention penalties, and in an industry running on single-digit net margins a confident wrong number is expensive. Pasting rate sheets and manifests into a public interface additionally exposes your pricing structure and client list.
We use these tools every day and they make us considerably faster, which is exactly why we are careful about where they belong in your business. A model supplies capability, and somebody still has to decide what to automate, demonstrate that it is safe, and answer for the outcome when a regulator or a board asks.
The first 90 days
What happens once we start.
The first quarter is deliberately front-loaded so you can judge the engagement early. The first month establishes what is actually happening, the second is aimed at savings that cover the cost of the work, and the third sets direction your board can approve.
Days 1–30
Diagnostic
- Map the full technology estate across TMS, WMS, ERP, and telematics
- Freight audit and accessorial capture analysis against actual loads
- Software spend review covering per-seat, per-vehicle, and per-transaction tiers
- Interview dispatchers and billing staff about the manual workarounds
Days 31–60
Quick wins
- Automate accessorial capture and freight audit on the highest-volume lanes
- Publish one agreed definition for cost per mile and customer profitability
- Retire redundant subscriptions and renegotiate the worst-value contracts
- Stand up a single operations dashboard for the leadership meeting
Days 61–90
Roadmap
- Integration architecture connecting dispatch, warehouse, and finance
- Customer-facing visibility plan matched to what shippers actually ask for
- Prioritized automation roadmap with expected payback per initiative
- Named internal owners for each operating metric
The objection we hear most
“A monthly retainer is a lot for a business with our margins.”
Thin margins are the argument for the work rather than against it, and the arithmetic is worth doing before you decide. Unbilled accessorials, freight audit errors, and uncollected maintenance warranties cost an operation of your size somewhere between 3% and 15% of top-line revenue every year. Recovering even a modest share of that covers the engagement, which is why the first sixty days are aimed deliberately at billing and audit controls rather than at anything longer-term.
Proof
Work in supply chain & logistics.
Client names are withheld where confidentiality requires it. Each engagement sets out the business problem, the technical approach, and what it produced.
Moving quality control from statistical sampling to prediction
High-tech manufacturing operations
Quality control costs had risen 78% in three years while roughly 35% of defects still escaped inspection, because statistical sampling and human visual inspection could not keep pace with production complexity. Deep learning on existing microscopy, sensor analytics, and predictive quality models cut quality control costs by 45% over two years.
- Reduction in quality control costs over two years
- 45%
- Reduction in quality control costs over two years
- Defect detection accuracy, with 84% fewer false positives
- 96.7%
- Defect detection accuracy, with 84% fewer false positives
- Annual capital expenditure deferred
- $4.2M
- Annual capital expenditure deferred
Five hours a week to thirty minutes, and 150% customer reach
Mid-market distribution and logistics operator
An operations team was manually re-typing vendor inventory emails into spreadsheets, and a sales team could only reach about 60% of its customer base each week because every outreach email had to be assembled by hand. Two connected builds removed both constraints and produced a competitive pricing database as a by-product.
- Weekly inventory processing, per person
- 5 hrs → 30 min
- Weekly inventory processing, per person
- Weekly customer reach from sales outreach
- 60% → 150%
- Weekly customer reach from sales outreach
- Incremental sales per week
- $2K–$5K
- Incremental sales per week
Further reading
Writing relevant to this sector.
Published commentary covering the questions that come up most often in these conversations. Each opens the full article on Medium.
Let's talk about your supply chain & logistics problem.
Half an hour is usually enough to establish whether fractional leadership suits where your business currently sits, and you will get a straight answer either way. There is no obligation attached, and no proposal unless you ask for one.