According to themachinemaker.com, Celonis and Molex have successfully collaborated to deploy AI-powered process intelligence across Molex’s global supply chain—achieving a 90% purchase order confirmation rate, up from 30%, and enabling 87% touchless invoice processing through automation.
Real-Time Visibility Across 70,000 Components
Molex sources approximately 70,000 components from thousands of suppliers worldwide. Prior to the collaboration, its supply chain operations were hindered by fragmented data and manual processes. With the Celonis Process Intelligence Platform, Molex has transformed these operations into a dynamic digital twin, delivering real-time insights and continuous process optimization.
Measurable Operational Gains
The implementation yielded quantifiable improvements across core logistics and operational functions:
- Purchase order confirmation rates increased from 30% to 90%
- 87% touchless invoice processing achieved via automation
- 10–15% increase in warehouse efficiency
By identifying root causes of inefficiencies and eliminating bottlenecks, Molex established a foundation for AI-driven decision-making grounded in accurate, contextualized process data.
Leadership Perspectives on Process Intelligence
“Process intelligence is central to Molex’s digital transformation and AI strategy. The platform provides the necessary context for AI systems to make informed, real-time decisions, replacing siloed data with a unified operational view.” — MJ Patil, Director of Process Excellence at Molex
“Celonis’ capabilities are like advanced diagnostic tools that provide a complete end-to-end view of enterprise operations.” — Tony Gainsford, Senior Director of Supply Chain at Molex
“Molex exemplifies how organizations can unlock the full value of AI by grounding it in process intelligence. This approach enables companies not only to resolve operational challenges but also to fundamentally transform how they operate.” — Alex Rinke, co-CEO and co-founder of Celonis
Expansion Roadmap and Industry Context
Molex plans to extend Celonis’ use beyond procurement and warehousing into order-to-cash, logistics, and manufacturing processes. Leveraging the Process Intelligence Graph, the company aims to standardize best practices globally and prepare for next-phase AI innovation.
This initiative aligns with broader industry trends: Siemens, Schneider Electric, and Johnson & Johnson have previously reported similar gains using process mining platforms to address supply chain opacity. According to a 2024 Gartner survey, 62% of Fortune 500 supply chain leaders cited process mining as critical to scaling AI—particularly where legacy ERP systems generate siloed, inconsistent data. For practitioners, the Molex case underscores that AI adoption succeeds not through model sophistication alone, but through foundational process visibility, clean event logs, and cross-functional data alignment—especially in complex, multi-tier electronics supply chains.
Source: themachinemaker.com
Compiled from international media by the SCI.AI editorial team.
