Here is a question I ask every fabrication shop owner I meet: What does it cost your company to produce a single quote?
Not the price you quote to the customer. The internal cost. The labor, time, and expertise your shop burns through from the moment an RFQ email lands in the inbox to the moment someone clicks "send" on the quote response.
In two years of working with metal fabricators and contract manufacturers, I have asked this question to more than a hundred shop owners and operations directors. The answers fall into three categories:
About 70% have never thought about it. They know quoting takes time. They know it feels slow. But they have never actually measured the cost.
About 25% have a rough guess. "Maybe a couple hundred bucks per quote?" They are almost always wrong. Usually by a factor of two or three.
About 5% know the real number. These are the shops that have already started automating or are actively looking for solutions. Knowing the number is what made them look.
This chapter is for the 95%. By the end of it, you will be able to calculate your own shop's cost per quote, cost per won job, and total annual spend on quoting. You will also understand why that number is almost certainly much higher than you think, and what it means for your business.
The Myth of the Free Quote
In custom fabrication, quoting is free to the customer. They send you an RFQ, you respond with a price. They might accept, they might not, they might send it to four other shops and pick the cheapest one. Either way, the customer pays nothing for the quote.
This is so deeply embedded in the industry that most people never question it. Of course quoting is free. That is how it works.
But inside your shop, every quote costs real money. An experienced estimator who earns $75,000 to $120,000 per year is spending hours reading emails, studying drawings, researching historical jobs, consulting with production, and assembling pricing. That time has a direct cost.
The "free quote" is not free. It is just paid for by the shop instead of the customer. And for most fabricators, it is one of the largest hidden expenses in the business.
Anatomy of Quoting Time
Before we can calculate cost, we need to understand where the time goes. Most people think of quoting as a single activity. It is not. It is a sequence of discrete tasks, each consuming a measurable amount of time.
I have timed these tasks at multiple fabrication shops. The numbers vary by complexity, but the pattern is remarkably consistent.
Phase 1: Intake Processing
This is everything that happens between "email arrives" and "estimator is ready to start pricing." It includes reading the email, downloading attachments, identifying the customer, understanding the requirements, and organizing the information.
For a straightforward RFQ with a clear email and a 2 to 3 page drawing, this takes 10 to 20 minutes.
For a complex RFQ (multilingual email, 10+ page drawing package, multiple parts, unclear specifications), this can take 30 to 60 minutes before anyone has done any actual estimating.
Phase 2: Drawing Extraction
This is the most time intensive phase. The estimator opens the technical drawing and manually extracts every relevant piece of information: dimensions, tolerances, material specifications, surface finish requirements, GD&T callouts, notes, and title block data.
For a simple 2 to 3 page drawing: 20 to 40 minutes.
For a complex 7 to 15 page drawing package with multiple cross sections, GD&T frames, and detailed notes: 60 to 150 minutes. I have seen complex aerospace drawings take a senior estimator over two hours just to read and extract.
Phase 3: Historical Research
Has the shop made something similar before? What did we charge? What materials did we use? What problems did we encounter? The estimator digs through old emails, ERP records, archived quotes, and their own memory.
For a shop with a good filing system: 10 to 20 minutes.
For a shop where this knowledge lives primarily in people's heads: 15 to 45 minutes. This often involves walking to the shop floor and asking a machinist if they remember a particular job from three years ago.
Phase 4: Feasibility and Production Consultation
Can we actually make this? The estimator reviews the specs with production. Can we hold that tolerance? Do we have the right tooling? What is the lead time on that material grade? Does this require outside processing (heat treatment, plating, testing)?
Quick check for straightforward jobs: 5 to 15 minutes.
Detailed consultation for complex or unfamiliar work: 20 to 60 minutes. Sometimes this spans multiple conversations over a day or two.
Phase 5: Pricing and Quote Assembly
The actual estimating: calculating material costs, setup time, run time, secondary operations, finishing, quality inspection, packaging, shipping. Then assembling the formal quote document.
For experienced estimators on familiar work: 20 to 40 minutes.
For complex or unfamiliar jobs requiring detailed breakdowns: 45 to 120 minutes.
Add it all up:
The median across shops I have measured is roughly 2.5 to 3.5 hours per quote. That is not an outlier number. That is the typical experience for a fabrication shop handling moderately complex RFQs.
Phases 1 through 3 (intake, drawing extraction, historical research) consume approximately 60% of total quoting time but require zero pricing expertise. They are pure information processing: reading, extracting, searching, and organizing. This is the portion that technology can automate. Phase 4 and 5 (feasibility and pricing) are where human judgment creates real value.
Putting a Dollar Figure on It
Now let us turn time into money.
A senior estimator at a fabrication shop typically earns between $75,000 and $120,000 per year in salary. Add benefits, payroll taxes, office overhead, software licenses, and equipment, and the fully loaded cost is roughly $45 to $70 per hour.
For this calculation, I will use $55/hour as a conservative middle estimate.
At 3 hours per quote and $55/hour, the direct labor cost of producing a single quote is $165.
That is the number most people stop at. But it is not the number that matters.
The Number That Actually Matters: Cost Per Won Job
Here is where the economics get uncomfortable.
Not every quote turns into a job. In custom fabrication, the bid to win rate typically ranges from 20% to 35%. The Fabricators and Manufacturers Association benchmarking data consistently shows averages around 25% to 30%.
That means for every job you win, you produced 3 to 5 quotes that generated zero revenue.
Let me walk through the math with a realistic example.
Read that last number again. $589 in quoting labor for every single job you win. Before you have cut a single sheet of metal, bent a single part, or struck a single weld.
For a shop with $15 to $25 million in revenue, $257,000 per year in quoting costs represents 1% to 1.7% of total revenue. That is a meaningful number. It is roughly the same as what most shops spend on cutting tool consumables.
But here is the part that really stings: 72% of that $257,000 is spent on quotes you do not win. That is $185,000 per year in pure waste. Not investment. Not marketing. Waste.
You are spending a quarter million dollars a year on quoting. Three quarters of it produces nothing. And your most experienced people are doing most of the work.
The 70/30 Problem
There is a deeper structural issue embedded in these numbers that most fabricators miss.
When estimators have more RFQs than they can handle (which is almost always), they triage. They prioritize which RFQs to quote first based on gut feeling: is this a good customer? Does this look like a real job or a fishing expedition? Is the quantity worth our time?
This triage is rational. But it creates a vicious cycle.
The estimator spends the most time on the quotes they consider highest priority. These tend to be the complex, high value jobs from good customers. A single complex quote might take 4 to 6 hours.
The remaining RFQs get rushed. Quoted late, quoted less carefully, quoted with less research. Some never get quoted at all because the estimator ran out of time.
The result: 70% of estimating effort goes to about 30% of the RFQs. And the other 70% of RFQs (many of which could be profitable, straightforward work) get inadequate attention or are simply lost to slow response times.
Most shops focus on win rate as the key quoting metric. But the more important number might be quote rate: what percentage of incoming RFQs actually receive a quote at all? Across shops I have measured, 10% to 25% of RFQs are never quoted because the estimating team ran out of bandwidth. If those represent $50K to $200K in potential revenue each, the cost of slow quoting is not just $257K in labor. It is millions in unrealized revenue.
What Response Time Does to Win Rate
There is a well documented relationship between quote response time and win rate. It is not subtle.
When I compiled data from fabricators and cross referenced with FMA benchmarking surveys, the pattern is consistent:
| Response Time | Typical Win Rate | Competitive Position |
|---|---|---|
| Same day | 35% to 45% | Often the only quote the buyer has received |
| 1 to 2 days | 28% to 35% | Among the first 2 to 3 responses |
| 3 to 5 days | 20% to 28% | Arriving alongside several competitors |
| 5+ days | 12% to 20% | Buyer may have already committed |
The industry average turnaround is 5 to 6 days. Which means the average fabrication shop is operating in the lowest win rate bracket.
Think about what that means in dollar terms. A shop with $20M in revenue and a 25% win rate is quoting about $80M worth of work to capture $20M. If they could move to a 30% win rate by responding two days faster, that is $4M in additional annual revenue from the same pipeline of RFQs.
No new marketing. No new customers. No new capabilities. Just responding faster.
And the reason they respond slowly is not because estimating takes a long time. It is because reading emails and extracting data from drawings takes a long time. The 60% of quoting time that is pure information processing.
The Opportunity Cost Nobody Talks About
There is one more dimension to the cost of quoting that I rarely see discussed.
Your senior estimators are the most knowledgeable people in your commercial operation. They understand your shop's capabilities, your cost structure, your customer relationships, and your competitive position better than anyone. They are the people who should be making strategic decisions about pricing, customer development, and market positioning.
Instead, they spend 60% of their time reading PDFs and typing numbers into spreadsheets.
This is not just a labor cost issue. It is an opportunity cost issue. Every hour your best estimator spends on data entry is an hour they are not spending on:
Strategic pricing. Analyzing your margins by customer, by part type, by material to find where you make money and where you lose it.
Customer relationships. Calling a buyer to discuss alternatives, suggest cost saving design changes, or understand upcoming demand. The conversations that turn one time quotes into long term partnerships.
Knowledge transfer. Teaching junior estimators the instincts and judgment that take 15 years to develop. The institutional knowledge that walks out the door when someone retires.
Process improvement. Identifying which types of jobs are most profitable, which are problematic, and where the shop should focus its quoting effort.
None of these things happen when your estimator's calendar is filled with 90 hours of manual processing per week.
Framework: Calculating Your Own Numbers
I want you to be able to run this analysis for your own shop. Here is a simple framework. It takes about 30 minutes and the data comes from numbers you already have (or can measure in one week).
How many RFQ emails did your shop receive last month? If you do not know exactly, estimate based on a typical week and multiply by 4.3. Include all incoming requests, not just the ones you quoted.
Of those incoming RFQs, how many actually received a formal quote? Divide quoted by received. If this number is below 80%, you are losing potential revenue to bandwidth constraints.
Pick 5 RFQs of varying complexity. Time each phase separately: intake, drawing extraction, historical research, feasibility, pricing. Be honest. Include the interruptions, the "I will finish this after lunch" gaps, the time spent searching for an old quote in your email.
Take the annual compensation of each estimator. Add 30% for benefits, taxes, and overhead. Divide by 2,080 (working hours per year). That is your loaded hourly rate.
Monthly RFQs quoted × average hours per quote × loaded hourly rate = monthly quoting cost. Multiply by 12 for annual. Then divide by (monthly quotes × win rate) to get cost per won job.
What percentage of total quoting time is spent on intake, extraction, and research (Phases 1 to 3) versus feasibility and pricing (Phases 4 to 5)? The first group is automatable. The second group is where human expertise creates value.
Most shops discover that quoting costs $150K to $400K per year, that 55% to 65% of quoting time is information processing rather than estimation, and that cost per won job is $400 to $800. If your shop has multiple estimators handling complex work, the numbers can be significantly higher.
What Changes When You Eliminate the Processing Layer
Let me be clear about what is and is not possible.
Phases 4 and 5 (feasibility evaluation and pricing) require human judgment. Your estimator's understanding of shop capabilities, material markets, customer relationships, and competitive dynamics cannot be replaced by software. That is where their 15 years of experience creates real value.
But Phases 1 through 3 (intake, drawing extraction, historical research) are information processing. Reading text. Extracting numbers. Searching archives. These tasks follow patterns. They are repetitive. And they consume 60% of the total time.
When you eliminate the processing layer:
Time per quote drops from 3 hours to 1 hour. The human effort shifts entirely to judgment, feasibility, and pricing. Drawing extraction that took 90 minutes is done in 30 seconds. Historical research that required digging through emails is instant.
Annual quoting cost drops from $257K to approximately $90K. Same volume, same quality, dramatically less labor.
Quote capacity increases without hiring. Two estimators who used to handle 30 RFQs per week can now handle 60 to 80. Or they can handle the same 30 with significantly more attention to each one.
Response time drops from 5 days to 1 to 2 days. Which moves your win rate from the 20 to 28% bracket to the 28 to 35% bracket.
Let me put this into a single comparison.
| Metric | Before | After |
|---|---|---|
| Time per quote | 3.0 hours | 1.0 hour |
| Estimator hours per week | 90 hours | 30 hours |
| Annual quoting cost | $257,400 | $85,800 |
| Cost per quote | $165 | $55 |
| Cost per won job | $589 | $183 |
| Response time | 5 to 6 days | 1 to 2 days |
| Estimated win rate | 28% | 33%+ |
| Revenue impact (at $20M base) | Baseline | +$1M to $3M |
The annual software investment for this kind of automation is typically $15,000 to $50,000. Against $170K in labor savings and $1M+ in revenue upside, the payback period is measured in weeks, not years.
The Question You Should Be Asking
After going through this math, the question is no longer "can we afford quoting automation?"
The question is: can you afford to keep paying $589 for every job you win?
Your competitors who adopt this technology will quote faster. They will respond to the same RFQs you receive, but they will respond in one day instead of five. They will win work you never had a chance to compete for. And over time, their quoting intelligence will compound (which is the subject of Chapter 04) while yours remains locked in people's heads.
The cost of a quote is not just labor. It is speed. It is capacity. It is the institutional knowledge you are not capturing. It is the revenue sitting in your pipeline that you are too slow to reach.
That is the true cost. And now you know how to calculate it.
Stop reading.
Start seeing.
Drop in your hardest drawing - aerospace, sheet metal, precision machining. Watch every dimension, GD&T frame, and tolerance get extracted in minutes.
Upload a Drawing