5 Ways to Reduce Quoting Errors in Customized Products

According to a 2026 survey of 280 global manufacturers, the top challenge facing sales teams during the quoting process is not technological limitations or internal processes. It’s customization. High-mix products and engineer-to-order solutions make it difficult to quickly create a quote that is accurate and feasible, and leaders report quotation errors as the second most common source of margin erosion by the time of fulfillment.  

Sales and product leaders should take several steps to reduce quoting errors for highly customizable products. First, centralize configuration rules in one system instead of maintaining them in separate systems. Then, ensure that engineering and fulfillment data connects to quoting systems so that quotes reflect real-time product constraints and production capacity. 

Survey respondents show exactly where these errors happen and what they’re doing right to improve quote accuracy.  

What is causing manufacturing quoting errors for sales and engineering teams? 

Manufacturers are largely pointing to customization as a source of its challenges, but customization isn’t the root cause of quoting mistakes. The real causes is in how configuration rules are built, maintained, and passed between systems, and engineer-to-order manufacturers feel this the hardest because nearly every quote requires some degree of custom configuration before it can be priced with confidence. 

Root cause 1: Configuration rules aren’t reused 

Only 33% of manufacturers use consistent configuration logic (the full set of possible product configurations) across sales, engineering, and production. And just 7% define configuration rules (product constraints, attributes, and dependencies) once and reuse that same logic across every system. The other 93% rebuild or re-enter that logic separately in each system. 

Every time a rule has to be recreated instead of pulled from a single source, there’s a new chance for it to be entered wrong, interpreted differently, or left out entirely. It also means most sales reps have no way to validate a configuration in real time at the point of quoting. Without rules centralized in one place, there’s nothing for the quote to check itself against, so a rep can’t know a configuration is invalid until engineering catches it later. Quoting mistakes don’t typically start with the sales rep, but with configuration and pricing rules that were never centralized at the start. 

Root cause 2: Rules for how a product can be built are hard to maintain 

Ninety-three percent of engineering teams report spending moderate to very high effort maintaining configuration rules across systems. That’s not time spent designing new products, but rather time spent keeping systems in sync. Rules can drift at every re-entry point, and outdated logic and maintenance backlogs show up as slow quote turnarounds and last-minute engineering flags on deals already in motion. 

Root cause 3: Complexity is outpacing process 

Today, 67% of manufacturers now report very or extremely complex products. Most quoting processes weren’t built for that kind of complexity, and the ones still relying on manual review, spreadsheet-based configuration, or unscalable rule-based configuration are finding it exceptionally hard to manage those rules as portfolios grow. 

Delivery commitments nobody trusts 

All three root causes converge at the promise made at quote time. Forty percent of manufacturers say they have low confidence in the delivery commitments they make at the time of quoting.  

Where in the quoting process do mistakes happen most? 

Quoting errors concentrate at the handoffs, such as sales to engineering, engineering to production, and quote to BOM. Each transition is a point where configuration logic, part availability, and delivery expectations have to pass between teams working from different systems and sometimes different versions of the truth. 

• Quoting invalid configurations: combinations that look valid to a rep but violate an engineering constraint are not always automatically flagged in the quoting system. If that review doesn’t happen, an unbuildable configuration goes out quoted. 

• Quoting prices or dates without a parts-availability check: Since only 30% of supply chain teams find it easy to support sales with parts availability, reps are often pricing and committing to dates without knowing whether the parts exist to hit them. 

• Quoting from outdated configuration logic: Currently, 21% of manufacturers propagate engineering changes automatically. A rule can change on the engineering side and a rep can still be quoting against the old version due to poor configuration management. 

• Manual BOM creation errors at handoff. 23% of manufacturers say they auto-generate manufacturing BOMs from sales quotes. The BOM that production builds from is usually hand-created separately from what was quoted, opening the door for the two to diverge. 

How to reduce manufacturing quoting errors  

Today, 42% of manufacturers expect 11–20% of their sales and engineering workforce to retire within 5–10 years. Dependency on tribal knowledge, as well as growing demand for product customization in the market, makes potential quoting errors an increasingly relevant challenge. These steps for reducing errors go deeper than investing in CPQ, but change the way that you think about how configuration logic and engineering knowledge is captured and managed in your business.

1. Define configuration rules once, reuse everywhere 

Audit where your configuration logic currently lives, likely scattered across CPQ, engineering documents, and ERP, and consolidate it into a single repository that every system pulls from, including CPQ, PLM, and PDM. Assign one owner (typically engineering) to maintain that repository, so no one downstream is ever working from a recreated or re-interpreted version of the rule.  

2. Connect CPQ, engineering, and fulfillment on one source of truth 

Map your current change-propagation process. When engineering updates a rule, trace how long it takes to reach CPQ and fulfillment, and how many of those steps are manual. Replace manual notification so that when your configuration logic repository has changes, those changes are pushed to every connected system the moment they’re made. Even a partial integration, starting with your highest-volume product line, closes a meaningful amount of exposure. 

3. Give sales real-time visibility into parts availability and delivery feasibility 

Connect your fulfillment and sales systems in both directions, not just a one-way data feed. Integrate parts-availability data directly into the quoting tool, so a rep sees manufacturability as they quote, and route quote activity back to supply chain, so fulfillment can see demand forming before it becomes a committed order. Only 30% of supply chain teams currently find it easy to support sales with parts availability, and closing that gap starts with visibility, even before full automation is in place.  

Manufacturers further along this path are beginning to connect quote configurations directly to a manufacturing BOM, removing the manual translation step between what’s quoted and the unique, factory-specific instructions needed for fulfillment. 

4. Use guided quoting to remove manual configuration review as the default path 

Turn technical constraints and configuration logic into business logic. Build guided workflows for sales based on product attributes or common configuration use cases that then present only valid configuration paths to the rep, using a constraint-based configuration engine. Reserve manual engineering review for true exceptions (configurations outside the standard rule set) rather than routing every quote through it by default. More than half of manufacturers have already shifted to this model, pairing guided quoting with exception-based engineering review instead of blanket manual checks. 

5. Track configuration-level performance so error patterns surface early 

Set up reporting that flags which specific configurations generate the most rework, margin loss, or engineering escalations, and review it on a recurring cadence (monthly, not annually). Feed what you find back into your process, so a configuration causing repeat problems or delays can be corrected or factor into future discussions about product and quoting needs. 

Improve quote and order accuracy with key lessons from global manufacturing leaders 

Manufacturers who reduce quoting errors in spite of heavy customization connect configuration rules, engineering, and fulfillment instead of managing them apart. For a deeper look at how manufacturers are addressing configuration complexity, margin erosion, and quoting accuracy at scale, explore the full findings in Tacton’s 2026 State of Manufacturing report. 

Download the State of Manufacturing report 

Frequently Asked Questions

1. How fast should a manufacturer respond to an RFQ?
Digitally mature manufacturers respond to RFQs within 48 hours 64% of the time, compared to 47% across manufacturers overall. Only 15% respond in under 24 hours. Response speed matters, but Tacton’s 2026 research found it doesn’t solve the underlying quoting problem on its own. A fast quote built on fragmented configuration rules is still a quote at risk of being wrong. 

2. How does buyer experience affect quoting accuracy?
When buyers struggle to articulate what they actually need or product information is incomplete, sales teams are more likely to quote based on incomplete or misunderstood requirements, which introduces errors before a rep completes the configuration. 

3. Does workforce turnover contribute to quoting mistakes?
It can. 42% of manufacturers expect to lose 11-20% of their sales and engineering workforce to retirement within the next 5-10 years. When configuration knowledge lives in a person’s experience rather than a documented rule set, that knowledge leaves with them. 

4. Is manual quoting still viable for engineer-to-order manufacturers?
Manual quoting can work at low volume, but it doesn’t scale well against rising complexity. 67% of manufacturers now report very or extremely complex products, and manual review struggles to keep pace as the number of configuration variables grows. 

5. What’s the actual cost of an inaccurate manufacturing quote?
Beyond the immediate rework, inaccurate quotes erode margin over time. 62% of manufacturers cite margin erosion as at least a moderate issue between quote and delivery, with 51% pointing to people as the source and 38% pointing to tools and systems. The cost isn’t always visible in a single deal — it shows up cumulatively across a portfolio.