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September 3, 2025 · The Bloomfield Team

5 Ways to Speed Up RFQ Response Without Hiring

The average job shop takes three to five days to return a quote on a standard RFQ. The shops winning the most work return them in one to two days. That gap rarely comes down to headcount. It comes down to how fast information reaches the estimator in a usable format.

Here are five changes that compress quoting time without adding a single person to the team.

1. Pre-Stage Customer Data Before the RFQ Arrives

Most estimators spend the first 20 to 30 minutes on any quote pulling context they should already have. Customer history, past order volumes, preferred materials, typical tolerance ranges, pricing patterns on similar jobs from the last two years.

That information sits in the ERP, in old quotes, in email threads. It can be organized into customer profiles that load automatically when an RFQ comes in from a known account. When the estimator opens the quote, the customer's last ten jobs, average margins, and any documented quality issues are already on screen.

This saves 20 minutes per quote. On 40 quotes per month, that is 13 hours recovered, roughly two full working days.

2. Build a Searchable Job History

The single biggest time sink in quoting is searching for comparable past work. Estimators need to find a job with similar material, geometry, tolerances, and secondary operations to anchor their pricing. In most shops, this search happens in the estimator's memory first, then through manual ERP queries with inconsistent search fields.

A structured job history database, indexed by material type, tolerance range, part family, and operation sequence, turns a 30-minute search into a 2-minute lookup. The technology for this exists today and does not require replacing your ERP. It requires exporting job data into a system designed for retrieval rather than transaction recording, which is what most ERPs were built to do.

For a deeper dive into how historical data reshapes quoting, see our complete guide to AI-powered quoting.

3. Standardize the Quoting Checklist

Different estimators quote the same part differently. One includes setup time as a line item. Another buries it in the hourly rate. One adds a 15% margin buffer on complex geometry. Another uses 8% and relies on negotiation. This inconsistency costs time in two ways: it creates rework when quotes need revision, and it makes historical pricing data unreliable for future reference.

A standardized quoting checklist ensures that every quote captures the same data points in the same format. Material cost, setup time, cycle time per operation, secondary ops, finishing, inspection, packaging, shipping. Each field defined, each calculation method documented. The fundamentals of quoting discipline are straightforward. Most shops have never written them down.

Standardization reduces per-quote time by eliminating decisions that should be defaults. It also means that every quote becomes a useful data point for the next one.

4. Kill the Approval Bottleneck

In many shops, every quote above a certain dollar threshold requires the owner's or GM's sign-off before it goes out the door. That person is in a meeting. On the floor. On the phone. The quote sits in their inbox for 8 to 24 hours waiting for a review that takes 5 minutes.

Set clear approval tiers. Quotes under $10,000 with margins within a defined range go out immediately. Quotes between $10,000 and $50,000 require one approval with a 4-hour SLA. Quotes above $50,000 get a same-day review meeting. Define the rules, trust your estimators within those boundaries, and watch turnaround drop by a full day on most quotes.

The strongest quoting teams operate with clear authority. They know exactly which decisions they can make and which ones need escalation.

5. Automate Material Cost Lookups

Material pricing is one of the most common delays in the quoting process. The estimator needs a current price for 304 stainless bar stock in 2.5-inch diameter. The purchasing manager has the latest quote from the distributor somewhere. Finding it means an email, a phone call, or a walk across the building.

Maintaining a material cost database with last-verified dates eliminates this delay entirely. Every time purchasing receives a quote or places an order, the price goes into the system with a timestamp. When the estimator builds a quote, the current price pulls automatically. If the price is more than 30 days old, the system flags it for verification rather than using a stale number.

This is not a complex system to build. A shared spreadsheet with discipline can do it. A connected system that pulls from purchasing data automatically does it better.

The Combined Effect

Each of these changes saves 15 to 45 minutes per quote. Stacked together, they can compress a three-to-five-day quoting cycle to one-to-two days without adding staff, without replacing your ERP, and without a major technology investment.

The underlying principle is the same across all five: reduce the time your estimator spends finding information so they can spend more time making pricing decisions. The knowledge to quote accurately already exists inside your operation. The question is how fast it reaches the person who needs it.

Shops that cut their quoting cycle in half typically see win rates climb by 15 to 20 percentage points. On 40 quotes per month, that is six to eight additional jobs won from the same pipeline, the same team, and the same machines.