Wiliot Expands Collaboration With AT&T Business to Scale Physical AI Deployment in Supply Chains

Systems integration and device certification model advances as enterprise demand for Physical AI grows globally

Wiliot has announced an expanded collaboration with AT&T Business to scale the deployment and operation of its Physical AI platform across enterprise supply chain environments. The collaboration is designed to support systems integration, device certification, and large-scale operational deployment across distributed supply chain networks. It also aligns with increasing enterprise demand for item-level visibility in physical operations.

The collaboration builds on a multi-year relationship and introduces a systems integration and device certification model intended to support large-scale deployments, ongoing network operations, and future data service delivery for AT&T customers.

As enterprises continue digitizing physical operations, demand is rising for continuous item-level visibility across complex supply chains. Wiliot’s Physical AI platform functions as a sensing and intelligence layer, capturing real-time data from battery-free IoT Pixels, while AT&T provides network infrastructure, cellular connectivity, and field execution required to deploy and operate these networks at scale.

The companies are also progressing with certification of Wiliot-ecosystem gateway devices on AT&T’s network, which is expected to enable direct, native connectivity and more standardized deployment across enterprise environments.

“Physical AI depends on continuous data from the physical world, and scaling that data requires deployment expertise, network connectivity, and a certified device ecosystem,” said Amir Khoshniyati, VP of Marketing, Wiliot. “AT&T brings all three. This collaboration expands our ability to deploy and operate Physical AI networks across large, distributed environments – and establishes a path to delivering that data as a service for AT&T’s global customer base.”

Since late 2025, the companies have been working on a systems integration model enabling AT&T to deliver deployment and operational capabilities across customer environments. AT&T is supporting design, installation, asset tagging, and ongoing maintenance across active deployments, acting as a scaled execution layer for Wiliot’s platform.

These deployments are currently active across multiple enterprise environments, including retailers, food and beverage companies, and quick-service restaurants. AT&T has completed a significant portion of field deployments in the first quarter of ramp-up.

Wiliot reports that its platform is deployed across tens of thousands of sites and is approaching hundreds of millions of actively tracked assets, working with the majority of Fortune 50 companies that have active supply chain initiatives.

The deployments have delivered outcomes including inventory accuracy of 99% or more, reduced dock-to-stock time from 24-48 hours to 2-6 hours, reduced receiving labor by 30-50%, reduced mis-shipments by up to 90%, and reduced lost, damaged, and delayed packages by 60%.

The companies are also working to expand AT&T’s role into network monitoring, alerting, and ongoing operations, with a longer-term pathway toward integration of Wiliot-generated data into AT&T services and enterprise offerings.

“Enterprises are looking for more than connectivity – they need actionable data from the physical world,” said Lee Wagner, Area Vice President, AT&T. “By working with Wiliot, we’re bringing a new class of Physical AI data into our ecosystem, adding visibility at the case and asset level, and enabling new services built on that data. We see Physical AI data as a significant emerging opportunity for AT&T and our customers.”

The collaboration aligns with AT&T’s strategy to expand beyond connectivity into AI data services. By integrating Wiliot’s sensing technology and certified device ecosystem, AT&T is extending network visibility into distribution centers, stores, and supply chain operations at item-level granularity.

Wiliot’s Physical AI platform uses battery-free IoT Pixels to create a continuous sensing layer across supply chains, capturing data such as location, temperature, and other attributes. This data is processed to generate insights and support automated workflows across inventory, logistics, and operations.

By combining Wiliot’s platform with AT&T’s infrastructure, certification, and deployment capabilities, the collaboration enables enterprises to move from fragmented visibility to a scalable real-time system for supply chain operations.

As demand for Physical AI accelerates, both companies are expanding deployments across additional customers, sites, and use cases.

For more information on Wiliot and AT&T.