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CASE STUDY 03 // MANUFACTURING & DISTRIBUTION // FIELD FILE

Three-day quotes were the bottleneck. The knowledge behind them was about to retire.

A specialty-parts manufacturer assumed AI was for software companies, not a shop that makes physical things. Meanwhile custom quotes took days, the logic behind them lived in two senior estimators' heads, and both of those heads were within a few years of retirement.

CompanySpecialty parts manufacturer and distributor, Great Lakes region
Size85 employees, second-generation family-run
Revenue~$12M annual
Starting StageDenier: "AI is for tech companies"

Orders were steady and the shop floor ran well. The constraint was upstream: every custom job waited on a quote, every quote waited on one of two people, and the fastest competitor in the region was answering the same requests the same day.

Where They Were Stuck

The two most valuable assets in the company were calendars.

Four constraints, all pointing at the same pair of desks.

  • Custom quotes took two to three days. Buyers with a deadline went with whoever answered first.
  • The quoting logic, tolerances, material tradeoffs, and pricing judgment lived in two senior estimators, both near retirement.
  • Product and spec knowledge was scattered across catalogs, old emails, and memory.
  • Sales requoted close variations from scratch every time, because nothing was captured from the last one.

The Engagement

Capture the expertise first, then put it to work on the constraint.

The urgent number was quote turnaround. The existential one was what walks out the door at retirement. Four moves addressed both.

CapturingThe estimators' heads, documented

Structured working sessions with both senior estimators turned decades of rules of thumb into an explicit, testable quoting logic.

AutomatingA quote-draft assistant with an approval step

Specs go in, a draft quote comes out, an estimator reviews and signs. The judgment stays human. The assembly stops taking days.

CreatingA searchable product knowledge base

Catalogs, specs, and past quotes became one searchable source, so sales stopped re-answering questions the company had answered before.

Team AdoptionEstimators as owners, not casualties

Positioned the two senior estimators as the authors and reviewers of the system. Their expertise became the product, and the rollout stopped feeling like a replacement.

Results // Approx. First 9 Months

Same-day custom quotes, and two careers of judgment that no longer retire with their owners.

Directional figures from the engagement window. Results vary by business, market, and execution.

Same day

Custom quote turnaround on most jobs, down from two to three days.

Captured

The quoting logic of two senior estimators, documented and in daily use.

Win rate up

Directionally, on the jobs where speed had been the deciding factor.

  • Quoting stopped being the bottleneck on sales throughput.
  • Onboarding a new estimator moved from years of shadowing toward months with the documented logic.
  • Net effect: faster revenue capture now, and a retirement date that stopped being an existential risk.

"I figured AI was for software companies. What sold me was watching a quote that used to take three days go out before lunch, with our numbers and our logic behind it."

Nathan W. | Manufacturing Owner

Your Version Of This

The stuck point is rarely the tool.

If your quotes wait on a handful of experts, or the knowledge your business runs on lives in heads instead of systems, there is a version of this engagement for your company. Send the short version of what is in front of you.