Our estimating team takes several days to turn around complex custom manufacturing quotes, causing us to lose bids to faster competitors. How do we build an AI-assisted pricing engine that speeds up this process while ensuring we maintain our target gross margins?

Question

Tyler Smith · Accepted Answer

To win more business without sacrificing your margins, you must accelerate your estimating workflow using structured automation. Slow turnaround times are usually caused by estimators manually calculating material costs, labor hours, and setup times for every custom request.

Build an AI-assisted pricing engine by training a private model on your historical estimates, actual job costs, and bill of materials data. When a new custom RFQ arrives, the estimator inputs the specifications into the AI tool. The AI can instantly analyze similar past projects and generate a baseline estimate for materials, labor, and lead times.

To protect your profitability, program the AI to calculate a confidence score for each estimate based on the historical data available. If the project specs are highly standard, the AI can automatically generate the quote draft. If the specs are highly complex or fall below a certain confidence threshold, the AI flags the estimate for manual review by a senior estimator.

This hybrid approach allows your team to turn around standard quotes in minutes instead of days. Your estimators can focus their energy on reviewing the high-risk, high-complexity bids where human expertise is critical. By speeding up your response time while maintaining strict margin controls, you increase your win rate and protect your bottom line.