What is process mining and how does it benefit shipping operations?

Process mining is a data-driven technique that analyzes event logs from business systems to visualize, understand, and optimize actual operational workflows. In shipping, Celonis's process mining technology can identify inefficiencies in booking management, vessel scheduling, port coordination, and cargo documentation. By revealing bottlenecks and deviations from best practices, PIL can reduce cycle times, lower operational costs, and improve service reliability.

Why would PIL partner with both Celonis and WNS rather than implementing Celonis alone?

Celonis provides the technology foundation for process intelligence, while WNS contributes operational consulting, change management, and execution services. This combined approach accelerates implementation, ensures workflows are redesigned for maximum impact, and helps PIL staff adopt new processes. WNS's industry experience in logistics transformation reduces time-to-value and mitigates implementation risks.

What specific operational areas could benefit from this optimization initiative?

Potential improvements span multiple areas: vessel utilization and routing, port turnaround times, cargo consolidation efficiency, documentation and compliance workflows, customer order-to-delivery cycle times, and exception management. Process mining reveals where manual handoffs, data re-entry, or system integration gaps create delays and cost leakage.

Is this trend typical for regional shipping lines?

Digital transformation and process optimization are increasingly strategic priorities for regional and mid-sized carriers. Larger lines like Maersk and MSC have invested heavily in digital platforms; PIL's partnership reflects competitive pressure to adopt similar capabilities. This trend accelerates as customers demand greater visibility and operational predictability from logistics partners.

Technology & Innovation

Moderate

PIL Partners With Celonis and WNS to Optimize Shipping Operations

Aug 6, 2026

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The signal

Pacific International Lines (PIL) has partnered with Celonis, a leading process mining platform, and WNS (WorkNow Services), a global business services provider, to enhance and optimize its shipping operations. This collaboration represents a strategic investment in digital transformation within the maritime logistics sector, enabling PIL to gain deeper visibility into operational workflows and identify inefficiencies across its supply chain networks. The engagement leverages Celonis's process intelligence capabilities to map, analyze, and optimize complex shipping workflows—from vessel scheduling and port operations to cargo handling and documentation.

WNS brings operational expertise and change management services to ensure successful implementation and sustained improvement. For supply chain professionals, this signals a broader industry trend toward data-driven optimization in ocean freight, where process mining reveals hidden bottlenecks and cost-saving opportunities. This initiative demonstrates how mid-sized shipping lines are investing in technology infrastructure to compete more effectively against larger carriers.

The partnership underscores the growing importance of process visibility and continuous improvement in logistics operations, particularly as maritime companies face pressure to reduce costs, improve service reliability, and enhance customer transparency.

#process-mining

#shipping-optimization

#celonis

#wns

#supply-chain-digitalization

#logistics-technology

#operational-efficiency

#maritime-logistics

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Simulation Suggestion

strategic

What if process optimization reduces PIL port turnaround times by 15%?

Simulate the impact of a 15% reduction in average port turnaround times for PIL vessels resulting from process mining insights and workflow optimization. Model effects on vessel utilization rates, capacity availability, transit time consistency, and customer service levels across PIL's key trade lanes.

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Simulation Suggestion

this month

What if document processing automation eliminates 20% of administrative delays?

Simulate the impact of process automation on PIL's documentation workflows, reducing processing time by 20% through elimination of manual steps and system integration improvements. Model effects on order-to-delivery lead times, exception handling, and customer communication cycles.

Run this scenario

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