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September 22, 2025 · The Bloomfield Team

How to Calculate ROI on Process Improvements

A shop owner in Wisconsin spent $85,000 on a quoting software system last year. When asked about the return, he said "things feel faster." That is not ROI. ROI is a number. Calculating it requires measuring the before state, measuring the after state, and comparing the two against the investment.

Most manufacturers skip the before measurement entirely, which makes the after measurement meaningless. Here is the framework that produces a number you can defend in a board meeting.

The ROI Formula for Process Improvements

ROI in manufacturing process improvement comes from four sources. Each one requires a specific measurement.

Source 1: Labor Hours Recovered

Measure the hours your team currently spends on the process you are improving. Be specific. For quoting: how many hours per week does the estimating team spend on data retrieval, historical job searches, material cost lookups, and approval routing? Multiply by the loaded labor rate.

After the improvement, measure the same activities. The difference, multiplied by 52 weeks, is the annual labor value recovered. A typical quoting process improvement saves 15 to 25 hours per week. At a loaded rate of $50 per hour, that is $39,000 to $65,000 per year in labor redeployed from administrative work to productive work.

Source 2: Error and Rework Reduction

Pull your rework and scrap data for the 90 days before the improvement. Categorize by root cause. After implementation, measure the same categories. The reduction in information-related errors has a direct dollar value: materials scrapped, labor hours consumed on rework, and customer credit notes issued.

Shops that implement structured data systems for quoting typically see quoting error rates drop by 40 to 60%. On a base of $200,000 in annual rework costs with 35% attributed to information errors, that is $28,000 to $42,000 in savings.

Source 3: Revenue from Faster Throughput

This is the ROI source most manufacturers undercount. If your quoting cycle drops from five days to two, your win rate increases. The relationship between response time and win rate is well-documented: manufacturers that quote within two days win roughly triple the rate of those that take five or more days.

Measure your quote volume, win rate, and average job value before the change. After 90 days, measure again. The revenue difference, net of the variable cost to produce, is the throughput ROI. For a shop quoting 40 RFQs per month with an average job value of $15,000, a win rate increase from 15% to 25% produces $600,000 in additional annual revenue.

Source 4: Avoided Hiring

If the process improvement allows your existing team to handle volume that previously required additional headcount, the fully loaded cost of the position you did not fill is part of the ROI. An estimator position at $90,000 salary with benefits and overhead loading reaches $120,000 to $140,000 annually. If the process improvement defers that hire by two years, the avoided cost is real.

Building the Business Case

The mistake most shops make is calculating ROI on a single source and comparing it against the full investment. Use all four sources. For a $100,000 process improvement investment:

• Labor recovered: $52,000/year
• Error reduction: $35,000/year
• Revenue increase (margin on additional wins): $180,000/year
• Avoided hire: $130,000 over two years ($65,000/year)

Total annual return: $332,000 against a $100,000 investment. Payback period under four months. Even if you discount the revenue source by 50% for conservatism, the payback period stays under six months.

For more on connecting this analysis to your broader technology strategy, see our guide to manufacturing AI ROI.

The Measurement Discipline

The framework only works if you measure the before state with discipline. Two weeks of baseline measurement before any implementation. Time studies on the specific process. Error counts by category. Win rate data from your quoting records. This baseline is the foundation of every credible ROI calculation.

After implementation, measure the same variables at 30, 60, and 90 days. The 90-day measurement is where ROI calculations become defensible, because it accounts for the learning curve and the initial adjustment period.

Measure first. Invest second. Verify third. That sequence produces numbers your team can trust and your investors can evaluate. The shops that follow it make better capital allocation decisions than the shops that invest on gut feel and declare victory based on how things feel.