Webinar Description
The best delivery plan rarely survives first contact with the real world. Traffic, delays and last-minute changes can quickly create a gap between what was planned and what drivers must manage on the road. The result is missed delivery windows, inefficient operations and the same disruptions repeating day after day.
Join leaders from HERE Technologies, Radaro, Urbantz and Glympse for a 45-minute executive roundtable on what it takes to move beyond static route planning. The panel will explore the next evolution of route optimization: systems that learn continuously from execution data. By incorporating delivery exceptions and operational realities into future planning, organizations can create feedback loops that drive smarter decisions and ongoing performance improvements.
Questions we’ll explore include:
- What will define successful fleet operations over the next five years?
- How will AI change the way fleets make operational decisions?
- Can AI-driven routing deliver without high-quality location data you can trust?
- How do real-time ETAs affect customer satisfaction and inbound inquiries?
What you will take away:
- Learn how leading organizations are transforming route optimization from a static planning exercise into a continuous, real-time decision-making process.
- See how trusted location intelligence, execution feedback, and AI work together to improve service levels, reduce disruption, and drive operational performance.
- Explore what it takes to build a self-improving logistics operation that learns from every route, adapts to every exception, and gets smarter over time.
- Get an exclusive first look at HERE Route Optimization Reasoning (beta) and discover how AI can help planners make faster, more confident decisions when conditions change.
Speakers:
Cami Zimmer, Chief Business Officer, Glympse
Mike Darchambeau, Co-Founder, Urbantz
Nadja Kurbanova, Senior Industry Solutions Manager, HERE Technologies
Brenton Gill, Co-Founder and CEO, Radaro
Moderator:
Robert Bowman, Editor-in-Chief, SupplyChainBrain
