Problems › Too Dependent on One Customer › Manufacturing
Concentration matters only to the degree that the customer can move volume to another supplier without disrupting their takt and requalifying parts. Manufacturers carry a specific bind here — the $45M automation case depends on the very customer that causes the margin problem. Until that is priced, contribution per machine hour will keep moving for reasons nobody can attribute, and the debate about revenue concentration will stay a matter of opinion.
Concentration matters only to the degree that the customer can move volume to another supplier without disrupting their takt and requalifying parts. Manufacturers carry a specific bind here — the $45M automation case depends on the very customer that causes the margin problem. Until that is priced, contribution per machine hour will keep moving for reasons nobody can attribute, and the debate about revenue concentration will stay a matter of opinion.
A customer that occupies a large share of machine hours is dangerous or manageable depending on changeover time and qualification requirements. If they can shift to another press line in one quarter, the exposure is immediate. If moving requires new tooling, first-article inspection and line rebalancing, the position is stronger even when utilisation looks skewed.
The trap appears when the same customer also drives lower contribution per machine hour through extended payment terms, smaller lot sizes and extra changeovers, so the margin pressure and the capacity risk arrive together. Growing other accounts to reduce the share is slow because new work still needs qualified processes; the faster adjustment is usually renegotiating the terms attached to the hours already running.
Revenue share and contribution share can move in opposite directions when the large customer occupies the highest-margin cells while smaller customers fill lower-margin cells with frequent changeovers and higher scrap.
These three together are the signature. One on its own usually points somewhere else.
✓ One customer’s orders account for the majority of scheduled machine hours on one or more cells.
✓ That customer’s purchase orders show longer payment terms and more changeovers per week than the rest of the book.
✓ A sudden loss would leave capacity idle that cannot be filled inside the current quarter without cutting shifts.
The move that usually makes it worse. Adding new customers and machine hours to dilute the percentage while leaving the original customer’s terms and changeover burden unchanged.
It is for you if you run or finance a manufacturer and one customer exceeds a quarter of revenue. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a manufacturer. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Kessler Industrial Components, a sample company profile used for testing rather than a customer — $310M revenue, three plants.
Excerpt from a real Percision run · Customer Value Architecture · sample company profile
The move. Automate Cedar Falls to lock in Customer A manifold volumes at 19% lower cost before Mexican alternates scale.
The leak it closes. Scrap rate reduced from 3.8% to 2.1%; 78-minute changeover reduced toward world-class 25 minutes
The assumption it rests on. Customer A does not activate dual-sourcing before automation payback (3.8 years) — the engine put the probability at 0.65.
| Investment required | $45M total |
| Expected return | 24% IRR on $45M investment over 7-year Customer A programme life |
| Revenue, year 1 | $340M (no incremental revenue; cost protection only) |
| Revenue, year 2 | $351M (3% price-down offset by automation savings) |
| Revenue, year 3 | $362M (Customer A volume stability plus new Mexican OEM programmes) |
| Exit criteria | If Customer A dual-source volume migration exceeds 25% by Month 18, cease further automation spend and redirect remaining capex to Querétaro expansion and aftermarket channel build-out. |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Proprietary EFF Methodology, one of 29 engagements the platform runs. For manufacturers it works through contribution per machine hour, capacity utilisation, customer concentration and scrap, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
There is no threshold that means much on its own. What matters is how quickly they could replace you and what happens to your fixed costs if they do. Both are answerable.
Rarely on concentration grounds alone, and often on margin grounds. If the largest account is also the worst-priced, the concentration problem and the margin problem have the same fix.
Increase what it would cost them to leave, and reprice the exposure. Growing a second segment is the right long answer and does not help within the notice period you actually have.
Materially, yes. The $45M automation case depends on the very customer that causes the margin problem — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are contribution per machine hour, capacity utilisation, customer concentration, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on contribution per machine hour and capacity utilisation. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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