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Quoting

January 13, 2026 · The Bloomfield Team

What Your Estimator Wishes the Front Office Understood

The sales manager walks into the estimating office at 10 AM. Six RFQs in the queue. Two from yesterday, three this morning, one a re-quote from a customer who changed the material spec. The sales manager asks about a specific RFQ from a new customer. Can it be done by end of day?

The estimator says they will try. What they are thinking: I need historical pricing data for this alloy, I need to check whether our Cincinnati mill can hold the profile tolerance on the drawing, I need a current freight estimate for shipping to the customer's plant in Tennessee, and I need to find out if the heat treat vendor still has a two-week lead time or if it has stretched to four. All of that before I can start building the cost model.

The front office sees a quote that takes too long. The estimator sees a system that makes every quote harder than it needs to be. This disconnect is the root cause of almost every quoting bottleneck in American manufacturing.

The Information Retrieval Problem

Most estimators in job shop manufacturing spend between 55% and 70% of their working hours on information retrieval. Finding data. Searching systems. Walking to the floor. Emailing suppliers. Calling purchasing about lead times. Scrolling through old work orders for a job that ran three years ago on a similar part.

The actual estimating work, the part requiring their experience and judgment, occupies the remaining 30 to 45%. Drawing analysis, manufacturing process determination, operation sequencing, cycle time calculation, margin setting, pricing. This is the work they were hired to do.

The front office has no visibility into this split. From the outside, the estimator receives an RFQ and delivers a quote some days later. The time in between looks like a single task. In reality it is dozens of micro-tasks, most having nothing to do with estimating and everything to do with hunting for information that should be at the estimator's fingertips.

Seven Things Estimators Know That the Front Office Does Not

The ERP is not a quoting tool. JobBOSS, Epicor, ProShop, Global Shop Solutions: all store job history. None are designed to surface that history in the context of a new RFQ. Searching for a comparable past job requires knowing the right part number, customer, or date range. If the description field was not filled in consistently across five years of entries from different people, the search comes up empty even when the data exists.

Material pricing is always stale. The alloy pricing the estimator needs usually sits in a supplier email from two to eight weeks ago. Finding the most recent quote means searching someone's inbox. If the purchasing manager is on vacation, the estimator waits or guesses. A 6% swing in material cost on a $40,000 job is $2,400 in margin that can go either direction based on whether the estimator found the right number.

Tribal knowledge fills the gap. Every shop has two or three people on the floor carrying critical manufacturing knowledge in their heads. The estimator who needs to know whether a 32 Ra surface finish on 17-4 PH stainless can be achieved in turning or requires grinding walks to the floor and asks Mike, because Mike ran that job in 2022 and remembers. When Mike is on vacation, or when Mike retires, that knowledge becomes inaccessible.

Quote accuracy depends on finding the right comparable job. A new RFQ for a 6" diameter 304 stainless housing with 0.001" bore tolerance will run differently depending on wall thickness, length, and cross-holes. Finding a past job matching on the right dimensions is the difference between a quote within 5% of actual cost and one that misses by 25%. That search takes time, and results depend entirely on how old jobs were documented.

Rush quotes carry hidden margin risk. When the front office pushes a quote to the top of the queue, the estimator compresses their research. Comparable job search gets abbreviated. Material check gets skipped. Floor consultation does not happen. The quote goes out faster, but pricing is less accurate. Rush quotes completed in under four hours carry margins 8% to 15% lower than quotes receiving a full day of estimating attention.

The quote queue never empties. In most job shops, the quoting backlog runs three to seven days. The estimator starts each morning behind. New RFQs go to the back unless sales escalates. Constant triage. The estimator always decides which quotes to work first, which can wait, which will expire before they get to them.

Documentation is the first casualty. When estimators are overloaded, quotes going out the door are minimum viable responses: a price, a lead time, maybe a few notes. Detailed assumptions, comparable jobs used as reference, reasoning behind the setup time estimate: none of that gets recorded. Six months later, when the customer reorders and the estimator needs the original quote, there is nothing to reference. The research starts over.

What This Costs the Business

A senior estimator at a mid-size job shop earns $75,000 to $110,000 per year, fully loaded. If 60% of that person's time goes to information retrieval, the shop is paying $45,000 to $66,000 annually for manual searching of its own data.

That number gets worse when you account for what the estimator could do with that time. More quotes per day means more bids submitted. Faster turnaround means higher win rates. Better research means more accurate pricing. Each improvement has a direct revenue impact that dwarfs the salary cost.

The retention risk is real. Experienced estimators are difficult to replace. The learning curve for a new estimator in a custom manufacturing environment runs 12 to 24 months. They need to learn shop capabilities, customer base, supplier network, ERP system, and the informal knowledge living on the floor. When a frustrated estimator leaves because the tools around them never improved, replacement cost in lost productivity can run $150,000 to $250,000 over the first year.

What the Front Office Can Do

Sit with your estimator for a full day. Watch the workflow. Count how many times they leave their desk, switch between systems, send an email asking for information, or search the ERP for a comparable job. Track the time split between research and actual estimating. The numbers will clarify the problem.

Recognize that quoting is an information problem, not a people problem. Most estimators are experienced, skilled professionals who know exactly how to price a job. The system around them forces them to spend the majority of their time doing something other than that.

Build the system your estimator actually needs. A custom AI tool built around your quoting workflow connects to existing data sources: the ERP, supplier quotes, job travelers, documented floor knowledge. It organizes that data around each incoming RFQ and delivers it to the estimator before they start the quote.

The estimator opens the RFQ. The system has identified the customer, pulled order history, surfaced the three most comparable past jobs with full cost breakdowns, shown current material pricing, and flagged tolerances that caused problems on similar parts. The estimator's work shifts from detective work to decision-making.

That shift changes everything about the quoting function. Turnaround drops. Accuracy improves. Volume capacity increases. The estimator does the work they were hired to do. The front office gets the speed it has always wanted without asking anyone to work harder.