Industries › Manufacturing
The questions manufacturers actually ask, answered against the numbers that decide them — with unedited excerpts from real analyses.
The bind specific to this industry is that the $45M automation case depends on the very customer that causes the margin problem. Almost every strategic question in manufacturers runs into it eventually, which is why answers borrowed from other sectors tend to point at the wrong lever first.
The numbers that carry most decisions here are contribution per machine hour, capacity utilisation, customer concentration, scrap. Analysis that starts from revenue and works down rarely reaches them; analysis that starts from them usually settles the question in one pass.
This is unedited output from a completed run on Kessler Industrial Components — $310M revenue, three plants — a sample profile used for testing rather than a customer.
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 · Quick Market Scan · sample company profile
The move. Turn Customer A’s informal ECO requests into a $4-6 M annual profit stream while protecting the 2028 contract renewal.
| Investment required | $0.3-0.5 M total (legal drafting, pricing model, negotiation support) |
| Expected return | Payback < 6 months; 8-10× return on $0.4 M base investment via $4-6 M incremental annual gross profit. |
| Revenue, year 1 | $1.2-1.8 M incremental design-fee revenue |
| Revenue, year 2 | $3.0-4.0 M cumulative design-fee revenue |
| Revenue, year 3 | $4.5-6.0 M cumulative design-fee revenue |
| Exit criteria | Strategy should be abandoned if (a) Customer A refuses paid-ECO model and issues 11 % price-down ultimatum with no volume commitment by Month 9, OR (b) cumulative design-fee revenue remains below $1.0 M by Month 12 despite good-faith negotiation, OR (c) any competitor achieves requalification on. |
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The engine runs the same structured method on any business, and what changes by industry is which numbers it asks for and which framework it routes to. For manufacturers that means contribution per machine hour, capacity utilisation, customer concentration rather than generic benchmarks. Every page in this section carries an excerpt from a completed run so you can judge the depth before spending anything.
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It states its assumptions where your data stops rather than refusing to proceed, and it marks which conclusions depend on them. That is more useful than waiting for a dataset you may never assemble.
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