A Manufacturer Gave Its Dealers a Configurator. Six Months Later: −70% Quote Time, +49% Quotes
Six months after go-live: 18 dealer reps quote in the platform themselves, median quote time down from 47 to 14 minutes, 49% more quotes, spec errors down 5.7×. Anonymised client case with method and limitations.
By Andrey M. · Founder, Paramiq · Published
In our July 2026 review of 200 US fence and metal companies, not one manufacturer offered its dealers a configurator with live pricing and a bill of materials. This case — a metal products manufacturer in an adjacent market — shows what closing that gap looks like: 18 dealer representatives quote in the platform themselves, engineering touches only the quotes that need it, and six months of production data are below. The client asked us not to disclose their name; the numbers come from platform logs and the client's records and are published with their confirmation.
- −70%
- time per quote (median)
- +49%
- quotes, same team
- ROI 148%
- payback in 2.4 months
The company
A manufacturer of made-to-order metal products sold through a dealer network: 18 dealer representatives quoting in the platform daily, supported by 4 engineers and 2 administrators on the manufacturer's side. Configurable product lines with dimensional logic — 38 active configurations, of which the top 10 carry 78% of quote volume.
Before
Dealer quoting ran the way it does almost everywhere: a dealer collected dimensions and emailed them to the manufacturer, engineering calculated, the numbers went back to the dealer, and the dealer assembled the proposal. Median active time per quote on the manufacturer's side was 47 minutes — plus the dealer's wait. 41% of quotes required an engineer; only 58% of end-customer proposals went out the same day. Spec errors reached 7.4% of quotes — each one meaning rework, and sometimes production risk.
What was implemented
- Product rules externalised into configurations — parameters, formulas, dependencies — set up once by the manufacturer's engineers, used by every dealer.
- ERP integration: item codes, prices and currencies pulled from the manufacturer's ERP catalog. Exactly one matching item is allowed per line — zero or multiple matches stop the calculation instead of guessing.
- Price discipline for the dealer channel: each dealer group sees only its permitted price types, and every saved quote keeps an immutable price snapshot. Dealers quote independently; the manufacturer keeps control of the numbers.
- 3D view on 72% of quotes — used to confirm the configuration with the customer before production, not as decoration.
- Documents: PDF and Excel export; 88% of quotes were exported at least once.
After six months
- 5,640 +49%
- quotes per period
- 91% +33 pp
- same-day proposals
- 1.3% −82%
- spec error rate
- 14% −27 pp
- quotes needing an engineer
Measured effect ≈$67,000 over six months against ≈$27,000 total cost — ≈$135,000 annualised at the current pace.
Comparable 6-month periods before and after go-live · data from platform logs and client records, client-confirmed.
Two more shifts sat underneath the headline numbers. Corrections per quote fell from 1.8 to 0.7 and clarification contacts per proposal from 2.6 to 1.4, so a quote left the building closer to final. Quote-to-order conversion rose from 24.6% to 30.9%. Across six months the change freed roughly 4,900 working hours — about 5.2 full-time equivalents — which the team redirected into volume growth rather than headcount.
Why it worked
It was not one feature but closed gaps: dealer, engineer, catalog and ERP now work from one configuration. Rules are entered once and reused, a dealer physically cannot pick a wrong item or an unauthorised price, and the price snapshot ends debates about which numbers were quoted.
The engineers' time moved from repetitive dealer calculations to the 14% of quotes that genuinely need engineering judgment. That is the quiet part of the result — the same four engineers now spend their hours where a human actually adds value, and the routine 86% runs itself. The same mechanism works for an internal sales team; the dealer channel is simply where the volume and the wait were.
Method and limitations
The comparison base is two comparable 6-month periods, before and after go-live. Sources are platform logs (quote counts, timings, exports) and the client's ERP and sales records. The financial effect counts measured labour savings and a conservative share of the commercial effect; revenue growth and production-loss reduction were not included. Amounts are converted from the client's local currency to USD at the exchange rate current at publication and rounded.
FAQ
Competitive reasons on their side. The trade-off we chose is full numbers with method and no name, rather than a name with rounded marketing numbers.
It is one implementation with strong internal discipline. The mechanism — rules externalised once, deterministic item selection, price snapshots — transfers; the exact percentages depend on your starting point.
No. Each dealer group is limited to its permitted price types; internal prices and other groups' terms are not visible.
Configuration setup by the manufacturer's engineers with our support, ERP catalog integration, and dealer onboarding and training — the platform's standard implementation path.
If you quote configurable products through spreadsheets and a dealer or sales team, send us one product line from your catalogue and we will return a working sample calculator, free.