Pacific International Lines (PIL) has partnered with Celonis and WNS, part of Capgemini, to expand its global Process Intelligence Centre of Excellence (CoE) as the container carrier continues a digital transformation programme spanning operations in 90 countries.
Headquartered in Singapore, PIL operates a fleet of more than 100 container vessels and is using the Celonis platform to create a real-time digital twin of its operations, to provide improved visibility into business processes.
The expanded CoE will combine Celonis’ process intelligence technology with WNS’ shipping and logistics experience to support process standardisation and operational improvements across the organisation.
PIL says the initiative is intended to provide end-to-end visibility across shipping workflows, improve the identification and resolution of operational inefficiencies, and establish a foundation for AI-driven automation.
“In shipping, you’re often dealing with dozens of different systems across the globe, which makes it hard to see where things are actually slowing down,” said Lionel Chatelet, Chief Commercial Officer at PIL.
“We’re using Celonis because it gives us a single, clear view of how our processes are running in real life. It’s not just about efficiency; it’s about getting to learn how to make our operations leaner and faster, integrate automation and AI by design into this continuous improvement action so we can empower our resources to better serve our customers and keep the global supply chain moving.”
The CoE is intended to embed process intelligence capabilities across PIL’s systems while providing a platform for continuous optimisation of operational processes.
“Shipping companies like PIL need more than technology, they need the domain expertise to turn process insights into operational change,” said Jaison Augustine, Business Unit Head, Shipping & Logistics, WNS.
“The CoE we’re building together will embed that capability permanently into PIL’s organisation, giving them the foundation to continuously optimize and scale.”
