Problems › Small Business Consulting Services › Manufacturing
The market for advisers to manufacturers is unregulated and the quality range is enormous, so selection is most of the decision — and the usual selection method, a referral, controls for likeability rather than for competence. The version of this question that applies to manufacturers is not the generic one. The $45M automation case depends on the very customer that causes the margin problem — so an answer that ignores contribution per machine hour will be confidently wrong. The analysis has to start from capacity utilisation and customer concentration rather than from revenue.
The market for advisers to manufacturers is unregulated and the quality range is enormous, so selection is most of the decision — and the usual selection method, a referral, controls for likeability rather than for competence. The version of this question that applies to manufacturers is not the generic one. The $45M automation case depends on the very customer that causes the margin problem — so an answer that ignores contribution per machine hour will be confidently wrong. The analysis has to start from capacity utilisation and customer concentration rather than from revenue.
The structural problem in this market is that the buyer is least equipped to judge the product at the moment of purchase. A CEO or plant director hiring a consultant is, by definition, buying expertise they do not have on contribution per machine hour or customer concentration, and there is no credential that reliably signals it. Anyone may use the title. The result is a market where price correlates weakly with quality in both directions — some of the most useful advisers are cheap because they work alone and do not market, and some of the most expensive are selling an automation case that depends on the very customer that causes the margin problem.
The second thing worth knowing is that most manufacturing problems are a short list, and they are diagnosable from numbers you already have. Which jobs actually make money once contribution per machine hour is measured. Whether growth is limited by capacity utilisation or by changeover times. Whether the plant is profitable but cash-poor because of scrap rate and takt. Whether the constraint sits with one customer or with the owner. An adviser who starts with those, rather than with a framework or a goal-setting exercise, is engaging with the business.
The failure mode to watch for is the generic playbook — the same three interventions applied to every client regardless of what the numbers say, usually some combination of new equipment, added shifts and a quality programme. Each of those is right for some plants. Applied without diagnosis they are a coin flip, and the ones that work get used as case studies while the ones that do not are attributed to execution.
Growth Strategy (catalog id t4) does the diagnostic half against your own figures — where contribution per machine hour actually comes from, which growth lever is currently unblocked, and what the constraint is. It is a much smaller purchase than an ongoing retainer and it makes the retainer decision an informed one, including the case where the honest answer is that you need an operator on the ground rather than more analysis.
These three together are the signature. One on its own usually points somewhere else.
✓ The proposal begins with a standard automation plan before the contribution per machine hour on current jobs has been examined.
✓ The recommendation for new capacity or a quality system is already fixed before customer concentration and scrap rate have been reviewed.
✓ The adviser cannot name a specific plant where their intervention raised or lowered contribution per machine hour once the numbers were run.
The move that usually makes it worse. Selecting on rapport and referral, which is a good filter for whether you will enjoy the meetings and a poor one for whether the advice fits the constraint shown in capacity utilisation and changeover data.
It is for you if you run or finance a manufacturer and the proposal describes a programme rather than a diagnosis. 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 · Competitive Positioning · sample company profile
The move. Monetise existing tooling and qualification stickiness by selling design-for-manufacturability services to the same OEMs that currently force 3% annual price-downs.
The leak it closes. Closes value leakage to OEMs via contractual price-downs; design authority creates new margin pool that subsidizes existing build-to-print programmes
The assumption it rests on. Customer A engineering manager will sign first paid DFM engagement within 6 months — the engine put the probability at 0.7.
| Investment required | $8-12M tooling CapEx + $4.5-6.0M annual engineering payroll (18-24 FTEs at $250K fully-loaded cost) |
| Expected return | 5.1× — $57-86M incremental EBITDA over 5 years / $12M maximum downside |
| Revenue, year 1 | $0.5-1.0M DFM service revenue |
| Revenue, year 2 | $3.5-5.0M DFM service revenue + $8-12M design-authority production revenue |
| Revenue, year 3 | $7-10M DFM service revenue + $35-50M design-authority production revenue |
| Exit criteria | Abandon this move if first paid DFM engagement is not signed by Month 9, OR if cumulative engineering hires fall below 12 FTEs by Month 18, OR if DFM-to-production conversion value falls below $4M by Month 24 |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Growth Strategy, 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.
For a defined piece of work — a pricing review, a profitability analysis, a growth diagnosis — £3k–£15k is the normal mid-market range and is usually enough. Open-ended monthly retainers of £1,500–£5,000 are common and are worth it only when there is ongoing delivery, not ongoing advice. If you are paying monthly for meetings, the meetings should be producing decisions you can name.
More often the latter than the market admits. A large share of small-business strategy questions are answered by disaggregating figures the business already produces but only ever looks at in total. If nobody has ever shown you contribution by product, by customer and by channel, that analysis is the first purchase and it is not expensive.
A coach works on the owner; a consultant works on the business. Coaching is about decisions you are avoiding, habits and accountability, and it genuinely helps some owners. Consulting is about what the right decision is. Confusing them is common, and paying consulting fees for accountability is the more expensive direction of the mistake.
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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