Full automation in CPQ (Configure, Price, Quote) systems has been an aspirational goal for years. The idea of configuring a product completely, generating a flawless bill of materials (BOM), and immediately sending it downstream to production is a tantalizing vision. But the reality is often far more nuanced. For many manufacturers, achieving 100% automation isn't just challenging—it’s sometimes impractical.
Here’s the thing: products are complex. No matter how robust your CPQ system is, there are often outliers—unique configurations, one-off requirements, or unexpected costs—that demand manual intervention. In fact, for some companies, up to 20-30% of their BOM adjustments happen after the initial configuration. This raises a critical question: should we strive for perfection in automation, or should we embrace a hybrid approach that blends automation with manual processes?
Let’s break this down. Most CPQ systems aim to handle the majority of the work upfront. By the time a configuration is complete, the BOM is supposed to be ready for production, with all parts, materials, and costs accounted for. However, there are times when this ideal doesn’t hold.
This "gap" between configuration and final BOM approval often leaves companies relying on manual processes to ensure accuracy. While some see this as a limitation of their CPQ system, it may actually be an essential feature of their workflow.
The idea of manual intervention might seem counterproductive in an era focused on efficiency and automation. However, it’s important to recognize that flexibility is often more valuable than rigidity. By allowing room for manual adjustments, manufacturers can:
The key is not to eliminate manual adjustments but to streamline and standardize them, making the process as efficient and error-proof as possible.
A growing trend in CPQ is the move toward hybrid models—systems that integrate automation with structured manual input. This approach doesn’t aim to eliminate manual adjustments but rather incorporates them into the workflow in a controlled, predictable manner.
For example:
These innovations provide a framework for handling the unpredictable elements of configuration while preserving the benefits of automation.
The ultimate goal of CPQ isn’t to eliminate human input—it’s to make the process more efficient, predictable, and accurate. Embracing manual adjustments as part of the workflow, rather than treating them as failures, allows companies to create systems that work for them, not the other way around.
So, is the dream of full automation dead? Not at all. But it’s time to acknowledge that perfection isn’t always the point. Sometimes, the best solution is one that balances the strengths of automation with the insights and flexibility of human input.