From RFID to Physical AI: Giving Everyday Assets a Digital Identity

Where did an item go, what happened to it along the way, and is it still in the condition a customer expects?

In this episode, Reid Jackson chats with Amir Khoshniyati, Vice President at Wiliot. Amir explains how Wiliot describes physical AI for everyday assets: battery-free tags can give products and containers a digital identity, while Bluetooth Low Energy connections capture signals such as location, motion, temperature, humidity, and light exposure. That information can help teams see what happens between facilities where traditional tracking can lose sight of an item.

The discussion also covers how physical AI can work alongside RFID, barcodes, QR codes, existing readers, ERP systems, and warehouse management systems rather than forcing companies to replace prior technology investments. Amir shares five core use cases—departure, receipt, condition, location and cycle count, plus visibility into reusable transport containers, and explains why food, grocery, CPG, automotive, logistics, healthcare, and 3PL operations are strong candidates for this approach.

Looking ahead, Amir sees lower tag costs, broader deployments, and assets that may one day communicate with one another. For supply chain teams, the bigger idea is simple: better item-level data can support earlier decisions when products are delayed, misplaced, exposed to the wrong conditions, or headed to the wrong destination.

In this episode, you'll learn:

• How physical AI can track an item's location and condition across the supply chain

• Why lower tag costs could expand item-level visibility across more industries

• How condition history can add context that inventory data alone may miss

Things to listen for:
(00:00) Introducing Next Level Supply Chain
(03:23) Wiliot's physical AI platform for everyday assets
(05:00) From IoT and ambient IoT to physical AI
(09:01) Filling supply chain data blind spots
(10:17) Brownout spots between facilities and in transit
(12:26) Five core use cases for item and container visibility
(14:48) Where Wiliot sees adoption across industries
(18:05) How physical AI can coexist with RFID, barcodes and QR codes
(22:10) Interoperability, standards and building on existing investments
(25:01) What supply chains could look like over the next five years
(29:52) Condition-aware perishables and product safety questions
(31:54) Amir's favorite technology
(32:41) What Amir wants to learn next

Connect with GS1 US:
Our website - www.gs1us.org
GS1 US on LinkedIn

Connect with the guest:
Amir Khoshniyati on LinkedIn
Visit Wiliot at https://www.wiliot.com/