AI Can’t Replace Human Judgment in Supply Chains | Aviva Kosansky | The Frictionless Podcast Ep. 3

As AI becomes more capable, the question is not just what it can automate, but what still requires human judgment.In this episode of The Frictionless Podcast, Aviva Kosansky, Vice President at Profit Point, joins IBIS founder John K Chang to discuss a supply chain planning implementation that revealed how much critical operating knowledge lives in people’s heads, not in systems or process documents.

John and Aviva discuss:

- Why supply chain implementations often uncover hidden business rules

- How iterative design improves adoption

- Why AI can dramatically speed up implementation work

- How AI frees teams to spend more time on design, testing, and users

- Why competing priorities across sales, finance, manufacturing, and logistics still require human alignment

- Where subject matter expertise remains essentialThe central idea: AI can make supply chain technology faster and more powerful, but human judgment still determines whether it actually works.

The Frictionless Podcast explores the realities of implementing technology inside logistics and supply chain operations with the people who have actually done it.

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.

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.