Product Lifecycle Intelligence

Turn PLM Data into Insights with Machine Learning

Early adopters of Product Lifecycle Management (PLM) have achieved valuable benefits to the product development process. However, PLM alone can no longer help businesses sustain competitive advantage.

In today’s digital age, driven by vast amounts of data consumed from connected products, equipment and systems, business leaders and product innovators must be focused on data-driven insights and evidence-backed decision making.

PLI Improves Product Development Results

Product Lifecycle Intelligence (PLI) is an evolution of PDM/PLM, focused on mining operational insights from product development data that has accumulated within mature PLM environments, as well as integrated business systems like ERP, quality and manufacturing platforms.

Enabled by advanced machine learning techniques, PLI helps organizations predict the impact of product development decisions on key business performance metrics like demand, cycle time, cost, quality, regulatory compliance, manufacturability and supply chain efficiency.

PLI helps innovators:

  • Explore current and historical product development performance
  • Explain these performance trends and diagnose root causes
  • Predict future performance based on these observations
  • Prescribe evidence-based recommendations to improve future outcome

A Structured, Data-Driven Approach to Solving Problems

The insights gleaned from PLI can benefit multiple business contexts in the organization, including R&D, regulatory, finance, quality, manufacturing, supply chain and service functions.

PLI applies machine learning and predictive modeling techniques to integrated datasets across the product lifecycle, including PLM, ERP, MES, QMS, IoT and more.

From this, business leads can make inquiries to describe, diagnose or predict a problem, and then prescribe a solution. 

Complete this form for more information about PLI


Jordan Reynolds

Jordan Reynolds

Chad Markle

Chad Markle