How does AI improve product configuration in manufacturing?
AI analyzes product rules, buyer needs, or RFP inputs to suggest valid configurations, ensuring faster, more accurate quoting while reducing dependency on engineering teams.
AI analyzes product rules, buyer needs, or RFP inputs to suggest valid configurations, ensuring faster, more accurate quoting while reducing dependency on engineering teams.
When manufacturers roll out CPQ, the initial focus often centers on launch. Configure the system, train the team, and track early usage.
Manufacturers face growing pressure to deliver highly configurable solutions on shorter timelines while protecting margins. The Buyer-Centric Smart Factory is the answer to delivering on your customer promise, profitably.
Strong CPQ adoption drives real ROI. Tacton Behavior & Engagement Analytics provides CPQ usage dashboards directly in the platform to track user behavior and uncover opportunities to improve performance.
Discover these seven CPQ analytics use cases for and how they can help with configuration selections, sales BOMs and more