A windows-and-doors manufacturer relied on a few experienced people to interpret specifications, calculate quantities and apply pricing rules. Cyberate built the automated quoting engine that turned that knowledge into a repeatable system.
For many building-product manufacturers, quoting is not just administration. It is the front door to revenue. But when quoting depends on manual measurement, product-rule memory and spreadsheet calculations, capacity becomes limited by the availability of a few senior people.
Quotes took days: Drawings and specifications had to be interpreted, measured and priced manually.
Rules lived with individuals: Product knowledge and price logic were carried by experienced staff, not by the system.
Errors carried commercial risk: Manual calculations created inconsistency and rework.
Peak enquiries became lost opportunities: When demand increased, quoting capacity did not scale with it.
A quoting engine that runs the manufacturer's own rules.
Cyberate built an automated quoting engine that accepts dimensions and specifications, applies product configuration rules, calculates material usage and price logic, then generates a standardised quote ready for human review.
A quote as the system produces it: every opening numbered and located, with its elevation, series, glazing and flyscreen resolved from the catalogue. Project references and contacts are replaced; the line format is the real one.
Specification input: Dimensions and product requirements are entered or parsed from drawing schedules.
Product rule engine: The manufacturer's own product logic is encoded into repeatable rules.
Material usage calculation: Material quantities are calculated consistently against the rules.
Price logic: Pricing is applied in a standardised way, reducing manual variation.
Quote generation: A quote is produced for review and release by the team.
From drawing schedule to quote.
Capture the inputs: The system receives dimensions, specifications and product requirements.
Run the rules: Product configurations, material usage and price logic are applied automatically.
Generate the quote: The output is shaped into a standardised quote.
Human review: The team reviews, adjusts if required, and releases the final quote.
Quoting no longer depended on individual bottlenecks.
Quote turnaround dropped from days to minutes. The manufacturer could respond to enquiries faster, handle peaks more confidently, and reduce dependence on a small number of experienced estimators for routine quote production.
Case anatomy
Business type
Building-product manufacturer
Before
Days per quote, rules carried by a few senior estimators
System built
Automated Quoting
Data handled
Drawings, specifications, product rules, material quantities, pricing logic
Workflow changed
Estimators review and release instead of measuring and recalculating
Result
Days → minutes
Status
Live deployment
Evidence note
What is measured
Elapsed time to produce a priced draft quote from the supplied specification, up to the point an estimator reviews it.
Before
Days. Specifications were interpreted, quantities measured and prices applied by hand.
After
Minutes. The engine applies the manufacturer's own product configuration and pricing rules to produce the draft.
Deployment
Live, at an Australian windows-and-doors manufacturer.
No sample size, measurement method or typical range has been published. This is a comparison between the manual process and the running system, not a controlled test.
Turnaround will vary with the drawing set, the product range and the complexity of the pricing rules.
The engine produces a draft. The estimator reviews and releases the quote, so time to a released quote depends on that review.
Faster response: Quote preparation moved from days to minutes.
Greater quoting capacity: More enquiries can be handled without simply adding more manual labour.
More consistent outputs: Quotes follow the same product and pricing logic.
Senior expertise preserved: Experienced people review exceptions and improvements instead of repeating the same calculations.
Common questions.
How can a quote go from days to minutes?
The manual work is reading drawings and looking up rules. The engine takes dimensions and items directly or parses them from drawing schedules, then applies the manufacturer's own product configuration and pricing logic. The estimator reviews and releases rather than recalculating.
Does the estimator still control the price?
Yes. The output is a priced draft with confidence flags per item and a review queue, not a released quote. The human stays on the decision and on the release.
Will it work with our product rules, not generic ones?
The rules are your own, encoded once in your deployment and never pooled with anyone else's. The honest test is to send a representative drawing set with your rules and a finished quote, and compare the output against it.