How to Manage Engineering Change Orders (ECOs) to Reduce Quote Errors and Configuration Maintenance

Engineering teams are spending too much time and effort maintaining product configuration models. 

According to Tacton’s 2026 State of Manufacturing report, 93% of engineering teams report spending moderate to very high effort maintaining configuration logic across systems. Meanwhile, 81% of manufacturers report moderate to extremely high effort maintaining CPQ models. 

The impact of engineering change orders (ECOs) on quoting accuracy, as well as configuration maintenance across systems like PLM, CPQ, ERP, and MES, is becoming a significant drain on engineering resources. This comes in the form of rule updates, validating product changes, troubleshooting inconsistencies between systems, and ensuring changes are reflected to sales and the supply chain.  

As manufacturers continue to expand configurable product portfolios, finding a more efficient way to manage ECOs and configuration maintenance is becoming increasingly important for responsiveness and continued innovation. 

Why do engineering change orders (ECOs) increase configuration maintenance? 

Every engineering change order creates downstream work. A component replacement may affect product compatibility. A design update may introduce new constraints. A pricing change may require updates to product configurations. A new feature may impact manufacturing processes or sales options. 

Only 33% of manufacturers currently maintain consistent configuration logic across sales, engineering, and production. Even fewer automatically propagate engineering changes across systems. For most manufacturers, configuration knowledge is still being recreated, translated, or manually synchronized across departments. 

Manufacturers don’t have the connectivity to ensure every system, department, and process reflects that change consistently. 

Over time, configuration maintenance can become one of the most resource-intensive aspects of managing product complexity and changes. 

How do you manage engineering change orders in CPQ without breaking open quotes? 

This is one of the most common challenges manufacturers face. 

Sales teams may have active opportunities in progress when an engineering change order is introduced. If product logic is fragmented or configuration models are difficult to maintain, an ECO can create confusion about which configurations remain valid, which pricing rules apply, and whether existing quotes need to be reviewed. 

This leads to manual intervention from engineering teams, delays in the quoting process, and increased risk of errors. 

The most effective approach is ensuring configuration knowledge is managed consistently and changes are governed centrally through a configuration management platform or environment that automatically propagates changes across traditional manufacturing systems, like CPQ, MES, or PLM.  

When engineering changes are reflected through a shared configuration model rather than maintained independently across multiple systems, manufacturers can reduce the risk of inconsistencies that affect active quotes.  

How constraint-based CPQ reduces configuration maintenance 

Many manufacturers assume that increasing product complexity requires increasing the number of configuration rules. 

In reality, the amount of maintenance required often depends on how products are modeled. 

Traditional rule-based approaches typically require organizations to manage growing numbers of dependencies, exceptions, and configuration rules as product portfolios expand. Every engineering change may require additional rules or updates across numerous rules, increasing maintenance effort and introducing risk. 

CPQ with constraint-based configuration takes a different approach. 

Rather than relying on an ever-growing web of rules and exceptions, constraint-based models use product relationships to determine valid configurations. When product knowledge is managed through a centralized 150% BOM (representing all valid product options and components in a single structure), engineering changes can be applied to the underlying product model and reused across sales, engineering, and manufacturing processes, reducing the amount of configuration maintenance required as products evolve. 

This provides several advantages when managing engineering changes: 

• Fewer rules to maintain 

• Reduced model complexity 

• Easier implementation of product updates 

• Less risk of conflicting logic 

• Greater confidence that configurations remain valid after changes 

For manufacturers managing large numbers of ECOs, reducing rule maintenance within CPQ can significantly improve engineering productivity while helping ensure configuration accuracy. 

What Is the Best Way to Manage Configuration Changes Across Systems? 

In addition to maintaining a CPQ model, managing ECOs effectively requires a consistent approach to configuration management across the entire product lifecycle. 

Leading manufacturers increasingly focus on three principles: 

Centralize configuration knowledge 

Many manufacturers maintain product structures, configuration rules, BOM logic, and engineering constraints in multiple systems. Every ECO then requires updates in several places, increasing the risk of inconsistencies and rework. A centralized source of product knowledge helps engineering teams manage changes once and propagate them downstream, reducing maintenance effort while improving alignment across sales, engineering, and production.

Build for reuse

Only 7% of manufacturers currently define configuration rules once and reuse them everywhere. Reusable product structures and shared configuration logic reduce the effort required to maintain product models as products evolve. 

Propagate changes efficiently 

When engineering changes can be automatically propagated to production systems, organizations spend less time maintaining duplicate information and more time improving products and processes. 

Engineering change orders will continue. Engineering maintenance pains don’t have to. 

Manufacturers are unlikely to see fewer engineering change orders in the future. 

Product portfolios continue to expand. Customer requirements continue to evolve. Product complexity continues to increase. 

What will separate leading manufacturers is how effectively they manage configuration maintenance. 

The State of Manufacturing report reveals that most organizations still have significant opportunities for improvement. Nearly every engineering team reports substantial effort maintaining configuration logic, while only a small percentage of manufacturers have established reusable, consistent approaches to configuration management. 

The organizations making the most progress recognize that engineering change orders and configuration maintenance are not the same thing. 

While ECOs are unavoidable, excessive maintenance effort is often the result of fragmented systems and disconnected configuration processes. 

By centralizing configuration knowledge, reducing rule maintenance, and adopting approaches such as constraint-based CPQ, manufacturers can manage engineering changes more efficiently and free engineering teams to focus on innovation instead of maintenance. 

Read the full report