The company’s new WiliBot GenAI chatbot opens a portal between the physical world and artificial intelligence. By allowing “things to talk,” businesses and consumers can ask questions about – and have conversations with – the myriad products connected to the ambient Internet of Things.
Wiliot, the ambient Internet of Things (IoT) pioneer, announced today the launch of WiliBot, a generative AI (GenAI) chatbot that enables natural-language conversations with ambient IoT-connect products. When combining the power of generative AI with this enormous source of real-time ambient physical world data, companies – and eventually consumers – can have conversations with the products they make, source, distribute, and ultimately purchase.
“Ambient IoT and generative AI are increasingly symbiotic technologies,” explained Wiliot CEO Tal Tamir. “Ambient IoT generates vast amounts of data about trillions of everyday things, and GenAI can uniquely make sense of all that data. On the flipside, GenAI learns by analyzing vast amounts of data. To a real extent, that data has so far been finite, but ambient IoT presents massive new physical world datasets that a GenAI platform like WiliBot — and others — can use to describe products, materials, supply chains, and everything connected to the internet.”
Wiliot’s Ambient Data Platform uses stamp-sized, self-powered IoT Pixels affixed to products, packaging, containers, crates, pallets, and more. These IoT Pixels communicate via Bluetooth information such as location, temperature, humidity, and carbon footprint to the Wiliot cloud where businesses analyze the data.
Wiliot-developed AI and machine-learning algorithms can then identify supply chain “events” and automatically generate alerts or AI responses that allow business to course-correct or optimize their operations, like when sensing that shipments of produce or pharmaceuticals have been handled at unsafe temperatures.
“Although Wiliot’s work in generative AI and the introduction of WiliBot are relatively recent, the company has long been a pioneer in artificial intelligence and machine learning for deriving insights into ambient IoT data,” Tamir continued. “As more companies have begun rolling out Wiliot’s Ambient Data Platform, we’ve been asked how GenAI capabilities might make the transformation even easier. Our answer is WiliBot, the real-world combination of ambient IoT and AI.”
Wiliot will begin piloting WiliBot with key enterprise customers now, with a broader rollout scheduled for late 2024 and into 2025. During this piloting phase, WiliBot will be used by businesses seeking to ask questions about their ambient IoT-enabled products and supply chains: How fresh is this product? How did it get to the store? Which product should I stock next, and why? What is the carbon footprint of this product? Why is it so low or so high?
In recent projects with leading food retailers, the Wiliot Ambient Data Platform revealed that food shrink accounts for roughly 5 percent of goods in the food chain – food that is lost, damaged, or spoiled before it reaches store shelves. The Wiliot platform is able solve two-thirds of typical food shrink issues – ensuring a safer food supply, higher customer satisfaction, and lower costs – while WiliBot will now democratize access to these insights across the organization.
In the future, this convergence of ambient IoT and generative AI will be made available to consumers in-store and at-home through an ecosystem of mobile apps – enabling consumers to speak to and converse with their products to better understand their carbon footprint, materials composition, ethical sourcing compliance, freshness and safety, and more.
“Wiliot’s Ambient Data Platform already allows companies to gain unprecedented intelligence about trillions of products,” Tamir concluded. “Now more businesses – and in the future consumers – will be able to ask about and easily understand everything about those products. With WiliBot, we’re answering the question, ‘What if your products could talk?’ Now they can, in natural language, thanks to WiliBot.”
WiliBot is built on top of a leading large language model (LLM) to combine the breakthrough capabilities of ambient IoT with GenAI computational power to usher in a new era of supply chain visibility.
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