Process mining for analysing warehouse material movement

Warehouse management is evolving rapidly, with businesses seeking more efficient workflows, enhanced visibility, and actionable insights to optimise business processes within the warehouse. This workshop dives into how it is possible to optimise and analyse warehouse management processes using process mining, powered by Microsoft Power Automate and Dynamics 365 Supply Chain Management.

The offer

Columbus offers a full-day workshop (6–8 hours) for organisations using Microsoft Dynamics 365 (Supply Chain Management – Warehouse management) to help you:

• Gain visibility into warehouse operations by learning how process mining visualises end-to-end material movement and workflows.
• Identify bottlenecks and inefficiencies using AI-driven insights from Dynamics 365 and Power Automate Process Mining.
• Turn insights into action with practical methods to optimise picking, put-away, and overall warehouse performance.

Facts in short

The workshop can be delivered globally: remotely or on-site, using interactive whiteboarding and facilitation tools.

Typical duration: 6–8 hours with business and IT stakeholders.

Technical preparation is needed – participants should bring an example of a warehouse flow they would like to analyse, along with knowledge of current processes, business priorities, and potential workflow pain points.

Ideal for organisations in manufacturing, retail, and food & beverage using Dynamics 365 Supply Chain Management.

Workshop – detail

• Introduction to warehouse process mining – Learn how process mining works and how it can be applied to warehouse material movement processes to visualise end-to-end workflows from picking to put-away using operational data.
• Hands-on exploration of Microsoft tools – Discover how Microsoft Power Automate Process Mining and Dynamics 365 Supply Chain Management work together to analyse warehouse activities, access process reports, and explore data through different analytical views.
• Analysing warehouse workflows and bottlenecks – Work with process maps, statistics, variants, and root-cause analysis to identify inefficiencies, compare picking routes and task durations, and understand where time is spent in warehouse operations.
• Using insights to optimise operations – Learn how to interpret process mining results and translate insights into operational improvements such as optimising item placement, improving picking strategies, and streamlining inventory movement.

What the customer will get as a result

• Clear visibility into warehouse processes with a structured understanding of how material movements and tasks flow across locations and zones.
• Identified bottlenecks and improvement opportunities based on data-driven analysis of warehouse activities and movement times.
• Practical recommendations for process optimisation, including improvements in picking, put-away, and warehouse layout decisions.
• A foundation for continuous process improvement, enabling ongoing monitoring and data-driven decision-making for warehouse performance.