Events

Procurement Summit Hamburg

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Process.Science at the Procurement Summit Hamburg: discover how embedded Process Mining brings transparency to Purchase-to-Pay and enables data-driven procurement.

KI-SUMMIT 2026. Understand » Develop » Apply

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How Process Mining and Process Intelligence make Enterprise AI truly effective – for measurable business value instead of isolated data analysis.

Which process do we want to improve, what measurable added value do we expect, and what context does the AI require to achieve this? Process.Science will be represented as a start-up at the mini-exhibition during the AI Summit Hamburg 2026. We look forward to discussing how existing company data can be translated into robust process intelligence and measurable business value.

All about Process Management

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Before software can act in a process, you must define what's correct. Discover Process.Science Alerts, live at AAPM 2026 in Stuttgart, Sept 30–Oct 1.

"All about Process Management" is a networking event initiated by Messe Stuttgart, bringing together professionals from finance, automotive, and public administration to discuss process optimization challenges. The conference fosters cross-industry exchange on topics ranging from process identification and documentation to optimization, change management, and automation. Process.Science will be there to share insights and connect with industry peers exploring practical approaches to transforming process management.

Hannover Messe 2027

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Join us at HANNOVER MESSE 2027 from April 5-8 to experience how transparent processes accelerate industrial transformation. We will showcase intuitive Process Mining solutions that reveal bottlenecks, uncover automation potential, and enable smarter decisions across production, logistics, and supply chain operations, all built on the data your existing systems already hold.

PI360 Industry Days Köln 2027

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Process.Science will once again be part of the PI360 Industry Days, the leading vendor-neutral gathering for the process mining community, this time in Cologne on June 8-9, 2027. Expect two days of practical insights, real-world case studies, and hands-on exchange with peers shaping the future of process intelligence. We look forward to connecting with you there.

BME Symposium Einkauf und Logistik 2027

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Process.Science will be on-site at the BME Symposium Einkauf und Logistik 2027, the leading DACH gathering for procurement, supply chain, and logistics professionals. Meet us in Berlin on November 17-18 to see how Process Mining brings full transparency to procure-to-pay and logistics processes, helping you spot bottlenecks, shorten cycle times, and turn the data already sitting in your systems into measurable supply chain resilience.