<?xml version="1.0" encoding="utf-8"?>
<oembed>
  <version>1</version>
  <type>rich</type>
  <provider_name>Libsyn</provider_name>
  <provider_url>https://www.libsyn.com</provider_url>
  <height>90</height>
  <width>600</width>
  <title>Visual CPQ, Engineering Automation, and AI with Scott Heide of Engineering Intent</title>
  <description>Where does traditional CPQ stop—and where does engineering automation need to take over? In this episode, Frank sits down with Scott Heide, CEO of Engineering Intent, to explore how CPQ can support products that require far more than standard configuration, pricing, and quoting. Scott brings more than 30 years of experience working with engineer-to-order companies, knowledge-based engineering, and sales engineering automation. Returning to the CPQ Podcast for the first time since 2023, Scott explains why customers typically approach Engineering Intent when their products involve complex engineering calculations, dynamic geometry, visual configuration, detailed bills of materials, or automatically generated sales and manufacturing drawings. He also discusses KBridge, Engineering Intent’s design automation platform, and how it can connect the commercial CPQ process with the engineering work required to produce a valid custom design. Frank and Scott also examine Engineering Intent’s new direct Salesforce integration, its established relationship with ServiceNow, and the growing role of systems integrators in projects that combine CRM, CPQ, and engineering automation. Scott shares how Engineering Intent is using AI to accelerate the capture of product knowledge and design rules—while maintaining the repeatable, deterministic, and documentable outputs required in manufacturing. In this conversation, we cover:   Why traditional CPQ solutions may struggle with highly engineered and graphically complex products   Where CPQ ends and engineering or design automation begins   How KBridge generates dynamic 3D models, visualizations, drawings, calculations, and detailed bills of materials   The difference between fixed-geometry visualization tools and parametric models that change dynamically   Engineering Intent’s new Salesforce integration and how KBridge can work alongside Salesforce Revenue Cloud   How AI may reduce the time and effort required to capture and automate product-specific engineering rules   Recent capabilities including advanced solid modeling, animation, source merge, and offline runtime   Engineering Intent’s growing focus on material handling, MEP, precast concrete, and other vertical applications   Why systems integrators may need stronger engineering skills to implement advanced design automation successfully   What Engineering Intent plans to demonstrate at Dreamforce and other upcoming industry events   If you work with engineer-to-order products, visual product configuration, manufacturing CPQ, or complex sales and engineering processes, this episode provides a practical look at how CPQ and design automation can work together across the full lifecycle—from early sales visualization to manufacturing-ready drawings and bills of materials. Learn more about&amp;amp;nbsp;Engineering Intent&amp;amp;nbsp;and connect with&amp;amp;nbsp;Scott Heide on LinkedIn. Don’t forget to subscribe on YouTube and your favorite podcast platform. More CPQ research and resources at https://novuscpq.com </description>
  <author_name>CPQ Podcast</author_name>
  <author_url>https://novuscpq.com</author_url>
  <html>&lt;iframe title="Libsyn Player" style="border: none" src="//html5-player.libsyn.com/embed/episode/id/42504235/height/90/theme/custom/thumbnail/yes/direction/forward/render-playlist/no/custom-color/88AA3C/" height="90" width="600" scrolling="no"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen&gt;&lt;/iframe&gt;</html>
  <thumbnail_url>https://assets.libsyn.com/secure/content/205286470</thumbnail_url>
</oembed>
