Problems › Cash Is Tight But Sales Are Fine › Manufacturing
Profit and cash diverge where machine hours are consumed before payment arrives from the concentrated customer. 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 cash conversion cycle will stay a matter of opinion.
Profit and cash diverge where machine hours are consumed before payment arrives from the concentrated customer. 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 cash conversion cycle will stay a matter of opinion.
A plant showing positive contribution per machine hour still runs out of cash when materials are bought and run through the three plants ahead of sale, changeovers and takt time occur before the invoice is raised, and the key customer settles after supplier terms. The $45M automation case is tied to exactly that customer, so every additional hour booked widens the gap between contribution reported and cash received.
Higher capacity utilisation therefore makes the shortfall larger, not smaller. More hours on the same margin profile increase raw material and work-in-process float faster than collections arrive, which is why a full order book at three plants can still produce repeated cash pressure.
The direct levers are shorter changeover times to free hours, lower scrap rate to reduce material spend, stage payments tied to production milestones, and stock held only against confirmed takt rather than forecast. These actions release cash inside a production cycle, ahead of any financing discussion.
These three together are the signature. One on its own usually points somewhere else.
✓ Contribution per machine hour meets target on the monthly report while the plant director sees the overdraft rise.
✓ One customer’s share of volume has grown and its payment cycle has lengthened without any recorded change in terms.
✓ High capacity utilisation periods at any of the three plants coincide with requests for extended supplier credit.
The move that usually makes it worse. Authorising the $45M automation spend while the payment terms from the same customer remain unchanged, which adds depreciation and interest to the existing working-capital drain.
It is for you if you run or finance a manufacturer and the P&L looks healthy and the bank balance does not. 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 · Cost Reduction & Efficiency · 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.
Because profit is recognised when you invoice and cash moves when people pay. The gap between those two, multiplied by growth, is the amount of cash your growth consumes.
Usually invoicing latency and deposits, because both are within your control and take effect immediately. Chasing debtors helps and is slower; renegotiating supplier terms helps and is slower still.
Only alongside closing the gap. Financing a structural working-capital cycle without changing the cycle means borrowing again at the next growth step, on worse terms.
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.
Describe the situation in your own words and we will tell you which analysis answers it — before you sign up for anything.
Describe my situation →Prefer to skip ahead? Go straight to the free diagnostic.
English · Español · Deutsch · Português · Français · Italiano · Nederlands · 日本語 · 한국어 · 中文 · Polski · Svenska · Türkçe · العربية · Tiếng Việt · ไทย · हिन्दी · עברית