The Frictionless Podcast

John @ IBIS

Each episode, we speak to a guest who has implemented technology in their or a client's workplace. What's the story? What worked well, and what didn't? More importantly, what helped or hampered the embrace from the real frontline users?

Episodes

  1. Aug 11

    Wai Wong - Why Great Technology Feels Like Less Change

    Why Great Technology Feels Like Less Change After nearly four decades in logistics operations and technology, Wai Wong has lived through generations of technology change, from major TMS implementations and the move away from physical shipment files to today’s adoption of AI. In Episode 2 of The Frictionless Podcast, Wai joins John K Chang to discuss why the best implementations often feel like less change, not more. They explore how designing around the operator’s actual workflow can make adoption easier, why frontline users should be involved before a system is rolled out, how training gets diluted as teams change, and why earning trust will be critical as AI begins making more operational decisions. Wai’s advice is simple: work in smaller increments, involve the people doing the job early, test frequently, and make the technology fit the work rather than forcing the work to fit the technology.

  2. Jul 22

    Mike Deangelis - AI Agents are Coming for Logistics, Who Handles the work they Create?

    Automation can create impressive local gains while quietly shifting administrative effort to another part of the network. This conversation examines what happens when shipper-side AI agents change the work arriving at freight forwarders, carriers, and frontline logistics teams. Operations and technology leaders will leave with a practical way to evaluate automation across the full process, begin with bounded experiments, and preserve visibility and control for the people absorbing the change.

  • 2 Episodes

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Each episode, we speak to a guest who has implemented technology in their or a client's workplace. What's the story? What worked well, and what didn't? More importantly, what helped or hampered the embrace from the real frontline users?

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