Complimentary Upcoming Live and On-Demand Webinars

FEDA Webinars

  • FEDA Webinar Series - Critical Skills for Front-Line Leaders in Distribution

    Member registration is complimentary and members can register on this page. 
    Non-member registration is $99 for the full four-part series. Registration can be completed here: Non-Member Registration Link

    Front-line leaders in distribution are being asked to do more with less, manage more complexity than ever, and develop their teams while keeping the operation running. This four-part webinar series is built specifically for supervisors and team leads in the distribution industry who want practical skills they can use the Monday after each session. No theory. No textbook exercises. Just real-world tools from someone who has spent 25-plus years on the floor, in the warehouse, and in the middle of chaos.

    Each session runs 90 minutes and covers one critical leadership skill area. Participants walk away with frameworks, templates, and an action plan they can put to work immediately.

    For more information or questions, please reach out to Ashley Mueller at ashley@feda.com.

From Around the Web

Data-Driven Distribution: Transforming with Clean, Connected Data

11 a.m. CT Wednesday, Aug. 5
Distribution Strategy Group

This complimentary webinar will examine what it takes to build a data foundation that works: clean, connected, and accessible across the business. Panelists will share how they are tackling data quality challenges, integrating systems to create a unified view, and turning data discipline into a competitive advantage.t.

Road Logistics Market Update

11:30 a.m. CT Tuesday, Aug. 18
Kuehne+Nagel

This complimentary webinar will provide valuable insights into the current state of the road logistics market and what it means for business operations.

The Road to Technology and AI: From Hype to Scaled Impact

9 a.m. CT Thursday, Sept. 10
National Association of Wholesaler-Distributors

This complimentary webinar explores how distributors are moving beyond experimentation and beginning to scale artificial intelligence and technology across their organizations.