Built for Industrial Equipment

Propel PLM manages multi-level, hierarchical BOMs with revision comparison and redline visualization, which makes it practical for complex, custom-configured assemblies. Propel PIM extends that with SKU variant management using multi-level parent-child inheritance, so a single root-level change propagates downstream to all configured variants automatically. To ensure quoting accuracy and speed, Propel connects product development data directly to sales and marketing workflows on the same platform.

Yes, through two mechanisms. Product Spotlight surfaces curated product data, including BOMs, item revisions, serialized Asset history, and work instructions, directly inside Salesforce Sales Cloud, Service Cloud, and Manufacturing Cloud so field technicians have the right information at the point of service.

Propel One agentic AI goes further: it predicts cost and serviceability impact from a change order, pulling from BOM, AML, and in-service Asset data, then notifies Field Service via Slack when a change is released. That closes the loop between engineering and field teams without manual handoffs.

The core difference is architecture and speed to value. Legacy on-premise PLM systems were built for large enterprises with dedicated IT teams, long implementation cycles, and high configuration overhead. Propel is cloud-native, built on Salesforce infrastructure, and deploys in weeks rather than months or years. That matters for industrial equipment manufacturers who need to respond to market changes quickly and can not afford multi-year deployment timelines. Propel also unifies PLM, QMS, and PIM on a single data model, so product, quality, and commercial teams work from the same record without custom integrations between separate systems.

Propel One delivers natively integrated agentic AI across the platform. For industrial equipment teams, the most relevant capabilities are expediting changes by agentically reviewing all affected items, changes, and documentation tied to a change order; change analysis by predicting cost and serviceability impact for both in-development and fielded equipment; and document interrogation, allowing engineers and service technicians to converse with complex product documentation. All AI automation runs within your existing Propel permission sets, so nothing executes outside the security and governance guardrails your team has already established. Explore Propel One here.