Upcoming 4flow webinars

Get expert insights on cutting-edge supply chain topics and join the discussion in upcoming 4flow webinars

Building the agentic supply chain: Practical AI use cases for better decisions

Tuesday, October 27 | 3-3:45 pm CET | 9-9:45 am EDT

Is you transportation plan really optimized? Five steps to take before 2027

November 12, 2026 | 3-3:30 pm CET | 9-9:30 am EST

November 12, 2026 | 3-3:30 pm CET | 9-9:30 am EST

Important decisions are already being made across different planning horizons, as companies prepare their transportation plans for next year. But how confident are you that your plan will deliver the right balance of cost and service?

In this webinar, 4flow experts will walk through five steps transportation and supply chain leaders can take to stress-test their 2027 plans today. Rather than focusing on theoretical concepts, the webinar will lay out practical approaches derived from real-world transportation projects to help you and your team identify areas where you can challenge your current planning approach.

Tune in to discover:

How to identify optimization opportunities before costs become structurally embedded
Which assumptions to challenge before committing to 2027
How to reduce manual planning and last-minute replanning, freeing up teams to focus on the decisions that matter
How continuous re-optimization helps transportation plans adapt as conditions change

Dr. Roman Kremer

Manager Software Consulting
4flow

Dr. Markus Koch

Software Manager Pre-Sales
4flow

Building the agentic supply chain: Practical AI use cases for better decisions

Tuesday, October 27, 2026 | 3-3:45 pm CET | 10-10:45 am EDT

Supply chain teams have more data and analytical tools than ever, but turning those data and tools into timely decisions remains a challenge. Information sits across systems, analysis takes time and evaluating alternatives often requires specialized expertise.

In this webinar, 4flow experts will present three use cases where AI agents support faster, better-informed decision-making in network planning, transportation performance and disruption response. The focus is practical: where AI agents add value, how the technology works with established analytical methods and where human expertise and control remain essential.

Tune in to discover how:

AI agents connect data, analytics and optimization to support supply chain decision-making
AI reduces analysis effort and time-to-decision across strategic and operational use cases
Scenario evaluation and optimization make cost, service, capacity and risk trade-offs transparent
AI-supported decision-making gets combined with human expertise, transparency and control