Yes. It can support different user types, from highly technical engineers to sales teams or customers with limited product expertise. The experience can be designed with either detailed technical inputs or simplified, guided questions, while the underlying constraint-based engine ensures all recommendations remain accurate and valid.
Despite growing pressure to improve the customer experience with speed and accuracy, many manufacturers still rely on manual quoting, static catalogs, and siloed systems that slow down sales and introduce costly errors.
Discover these seven CPQ analytics use cases for and how they can help with configuration selections, sales BOMs and more
Configuration data is becoming an increasingly important input in product strategy as manufacturers optimize configure-to-order and engineer-to-order models.
This years 2023 Manufacturing Survey is out! Check out the latest initiatives, challenges and more manufacturers are facing this year
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