How long does it take to prepare a quote?

In many manufacturing SMEs, preparing a quote takes 2 to 8 hours. Finding raw material costs, calculating processing hours, estimating margins, writing the document. Often the owner does it personally, in the evening or on weekends.

The problem isn't just time: it's quality. A rushed quote contains errors, underestimates costs, forgets important items. A quote that arrives late loses the client.

AI can reduce preparation time by 50-70%, while improving accuracy.

How does it work in practice?

The example: a precision machining company

Scenario: a company with 15 employees producing custom mechanical components. Every week it receives 5-10 quote requests. Each quote takes an average of 3 hours.

Weekly time dedicated to quotes: 15-30 hours.

The traditional workflow

The client sends specifications (technical drawing, quantity, timeline)
The technical team evaluates feasibility and estimates processing hours
Administration looks up raw material costs in the management system
The full cost of the job is calculated
The desired margin is applied
The document is written with terms, conditions, and timelines
It's sent to the client

Each step takes time, and between steps there are delays. From receiving the request to sending the quote, 3-5 days can pass.

The workflow with AI

AI doesn't replace any step — it accelerates them.

Phase	Without AI	With AI
Estimate processing hours	45 min (manually consulting past jobs)	10 min (AI analyzes similar jobs)
Look up material costs	30 min (searching the management system)	5 min (AI extracts the data)
Calculate full cost and margin	20 min (spreadsheet)	5 min (automatic calculation)
Write the document	40 min (copy-paste and adapt)	10 min (AI generates draft)
Review and send	15 min	15 min (unchanged)
Total	2h 30min	45 min

The savings are about 1 hour and 45 minutes per quote. With 8 quotes per week, that's 14 hours saved — nearly 2 working days.

What tools are needed?

No need for software costing hundreds of thousands. The concrete options:

Level 1: generative AI + spreadsheet

Tools: ChatGPT or Claude + Excel/Google Sheets
How it works: upload the spreadsheet with job history and cost data. Ask the AI to estimate the cost of a new job based on client specifications
Cost: €20-50 per month for the AI subscription
Setup time: 1-2 days

Level 2: automation with connectors

Tools: Make or Zapier + AI + management system
How it works: the workflow is automated: client request arrives via email → Make extracts the data → AI calculates the estimate → generates the draft → sends it for approval
Cost: €50-150 per month
Setup time: 1-2 weeks

Level 3: custom assistant

Tools: custom AI with access to the management system and job history
How it works: an AI assistant trained on company-specific data — costs, lead times, suppliers, and past jobs
Cost: €500-2,000 for setup + €100-300 per month
Setup time: 1-2 months

For most SMEs, Level 1 is the right starting point. Move to higher levels once the process is established.

The impact on margins

The benefit isn't just time saved. A more accurate quote protects margins:

Fewer calculation errors — AI doesn't forget cost items
Accessible history — avoids underestimating based on memory alone
Consistency — all quotes follow the same cost calculation logic
Speed — a quote that arrives in 24 hours instead of 5 days is more likely to be accepted

If the average contribution margin is 35% and AI prevents just 2-3 underestimation errors per year worth €5,000 each, the return on investment is immediate.

Mistakes to avoid

Blindly trusting AI — AI is an assistant, not a decision-maker. Every quote must be reviewed by someone who knows the work
Starting at Level 3 — start simple, with the first step of automation, and move up only when needed
Not updating the data — AI is only as accurate as the data it receives. If cost data is 6 months old, the quote will be wrong too
Ignoring exceptions — special jobs, clients with unique terms, new processes always require human judgment

Where to start tomorrow

The concrete path:

Organize the history — gather the last 50 quotes into a structured spreadsheet: job type, materials, hours, cost, price, margin
Test with 3 quotes — use ChatGPT or Claude to estimate the cost of 3 real jobs and compare with manually prepared quotes
Measure the difference — how much time is saved? How accurate is the estimate?
Decide the next step — if the test works, integrate AI into the daily workflow

Those who want to explore other AI applications in SMEs will find ideas in the dedicated article. And those still relying on spreadsheets for weekly reports might start there for their first automation step.

The AI in business guide describes the complete path to adopting AI in an SME, from first experiments to process integration.

Want to understand how AI can speed up quoting in your company? Get in touch for a no-commitment conversation, or learn about our strategic consulting.