More companies prioritizing real-time monitoring now have a new option as Wiliot launches its Gen3 IoT Pixel, a small battery-free sensor that provides continuous, high-fidelity data to cloud-based artificial intelligence systems. The latest release is designed to collect and stream detailed information such as location, temperature, humidity, and movement, offering enterprises enhanced supply chain transparency. As global industries face growing demands for accuracy and speed, technologies like Wiliot’s address pressing needs for automation and responsiveness. With retailers and logistics providers searching for solutions that require minimal manual intervention, the Gen3 IoT Pixel arrives at a pivotal point for the sector.
Wiliot has been working in the ambient IoT space for several years, with its earlier Gen2 Pixel gaining attention for its compact, battery-free approach. Reports from recent months highlighted ongoing pilot projects and incremental expansion in deploying the technology, mainly at a small scale for inventory and asset tracking. The Gen3 Pixel’s increased sensing range and lower unit cost differ from previous offerings by supporting infrastructure-level deployments rather than limited pilots. This addition shifts the competitive dynamic, challenging legacy RFID solutions and increasing the potential for widespread supply chain automation.
What Improvements Does the Gen3 IoT Pixel Offer?
The Gen3 IoT Pixel introduces dual-band operation for extended energizing and sensing ranges. With sub-1 GHz and 2.4 GHz capabilities, the Pixel now delivers more stable connections in varied environments, such as warehouses and retail spaces. This sensor, measuring about the size of a postage stamp, generates encrypted Bluetooth Low Energy signals that feed directly into Wiliot’s cloud platform for instant analysis and action.
How Does the Wiliot Intelligence Platform Utilize Sensor Data?
Raw data from the Gen3 IoT Pixel is processed by the Wiliot Intelligence Platform. This system converts large volumes of real-time physical information into practical insights for businesses. The platform anchors five solutions: automated cycle counting, receiving, shipment verification, reusable asset tracking, and temperature and condition monitoring—reducing reliance on manual checks, streamlining logistics, and supporting regulatory compliance.
What Impact Could This Have on Modern Supply Chains?
The Gen3 IoT Pixel’s broad deployment hints at accelerated adoption of Physical AI, the application of artificial intelligence to the physical supply chain network. Companies can respond faster to changes and potential disruptions, while ensuring better product freshness and availability. Julien Bellanger, President of Wiliot, stated,
“Its enhanced performance and cost profile allow companies to deploy ambient IoT at new levels of performance and scale – fueling our AI platform with the continuous, high-fidelity data required for more efficient operations, lower waste, and smarter execution.”
This facility provides organizations with a foundation to automate inventory management and logistics.
The growing focus on continuous sensor data instead of intermittent scanning points to a wider industry trend. As competition intensifies, more enterprises are implementing data-driven systems to minimize loss and streamline the flow of goods. According to Bellanger,
“Physical AI is becoming a defining capability for modern supply chains.”
Wiliot’s recent deployments suggest companies are beginning to benefit from real-time visibility and operational intelligence.
Battery-free ambient IoT sensors like Gen3 IoT Pixel are driving a shift from periodic, manual tracking methods to a model where continuous data powers automated decision-making across distributed networks. Such solutions are increasingly seen as a utility for businesses aiming to cut waste, improve compliance, and ensure the freshness of perishable products. Adopting sensor-driven, AI-enabled management could help organizations reduce operational costs, prevent losses, and improve supply chain agility in uncertain market conditions. For any enterprise managing complex logistics, closer examination of new sensor platforms and integration with existing AI tools may unlock efficiencies that were previously difficult to achieve.
