IN Brief:
- Avery Dennison has made a $75m minority investment in Wiliot.
- The companies will expand passive Bluetooth, RFID, and digital identity technologies across supply chains.
- Food applications include condition monitoring, traceability, inventory intelligence, and waste reduction.
Avery Dennison has made a $75m minority investment in Wiliot, strengthening a partnership focused on sensor-enabled digital identification across supply chains.
The investment makes Avery Dennison Wiliot’s preferred inlay design, manufacturing, and commercial partner. Avery Dennison will also receive a seat on Wiliot’s board, in addition to its existing board observer position.
The companies are targeting wider adoption of digital identities on physical items across retail, logistics, and food supply chains. Wiliot’s platform uses battery-free Bluetooth sensors, known as IoT Pixels, with cloud-based AI and machine learning models to process data on item location and condition.
The technology moves labelling beyond identification at a fixed scan point. Sensor-enabled labels can support live or near-live visibility of temperature, location, handling, and status, helping automate decisions across cold chain, inventory, replenishment, and waste management.
The investment also extends Avery Dennison’s position beyond conventional labelling and RFID. RFID has already become an established tool in retail, logistics, and inventory management. Passive Bluetooth Low Energy technology adds the possibility of broader condition monitoring and item-level visibility across more use cases.
Food supply chains carry a particular need for that capability because product condition can be as important as location. Chilled meat, dairy, seafood, fresh produce, prepared meals, and high-value ingredients all depend on temperature control and handling discipline. A pallet can arrive on time and still lose commercial value if it has suffered a temperature excursion or remained too long at an unsuitable point in the route.
Digital identification is moving from traceability into operational control. It can support stock rotation, shelf-life prediction, automated claims handling, recall precision, and sustainability reporting. Reliable condition data allows manufacturers, logistics providers, and retailers to move away from broad assumptions and towards decisions based on the actual movement and treatment of goods.
Regulatory and customer expectations are also increasing. Food businesses face growing pressure to prove origin, safety, temperature integrity, environmental performance, and waste reduction. Manual records and periodic scanning cannot always support that level of detail at scale. Labels, inlays, and sensors embedded into packaging or logistics units offer a more granular route, provided cost, interoperability, and data governance are controlled.
Commercial adoption will not be uniform. High-speed packaging lines, narrow margins, and low unit values can limit the use of item-level technology on everyday products. Early deployment is likely to favour higher-value, temperature-sensitive, loss-prone, or compliance-sensitive categories, along with reusable logistics assets such as crates, pallets, and cases.
The investment places intelligent labels closer to mainstream supply-chain infrastructure. Packaging has historically carried branding, compliance, and identification. The next phase links physical goods to data systems that can detect risk before quality, availability, or shelf life is lost.
