- Wiliot launches WiliBot, a generative AI chatbot for IoT-connected products.
- Combines real-time ambient IoT data with generative AI for enhanced product interaction.
- Wiliot’s Ambient Data Platform uses IoT Pixels to gather and analyze product data.
- AI algorithms optimize supply chain operations by detecting and responding to events.
- WiliBot pilot phase begins with enterprise customers, with a broader rollout in late 2024.
- Future applications will extend to consumer interaction through mobile apps.
- WiliBot aims to increase supply chain transparency and product engagement.
Main AI News:
Wiliot, a leader in ambient Internet of Things (IoT) technology, has launched WiliBot, a generative AI chatbot designed to enable natural-language interactions with IoT-connected products. This innovation combines the power of generative AI with real-time data from ambient IoT, allowing businesses—and eventually consumers—to engage directly with the products they manufacture, source, and purchase.
Ambient IoT and generative AI are increasingly complementary technologies. While ambient IoT generates vast amounts of data from everyday items, generative AI excels at interpreting and making sense of such data. With WiliBot, Wiliot integrates these capabilities, creating a platform that can provide detailed insights into products, materials, and supply chains.
The Wiliot Ambient Data Platform uses self-powered IoT Pixels, which are small enough to attach to products, packaging, and containers. These IoT Pixels transmit information like location, temperature, humidity, and carbon footprint via Bluetooth to the Wiliot cloud, which is analyzed to offer actionable business insights. The platform’s AI algorithms can detect supply chain events, triggering alerts or responses that help businesses optimize operations and avoid potential issues, such as when perishable goods are exposed to unsafe temperatures.
Though Wiliot’s work in generative AI is recent, the company has long been an innovator in using AI and machine learning to extract insights from ambient IoT data. The introduction of WiliBot is a response to increasing interest from companies seeking to simplify the transition to ambient IoT-powered systems. In piloting with key enterprise customers, WiliBot will see a broader rollout in late 2024 and into 2025. During the pilot phase, businesses can use WiliBot to query their IoT-enabled products and supply chains on issues like product freshness, journey history, stock optimization, and carbon footprint.
Wiliot’s platform has already demonstrated its value in reducing food shrinkage—loss, damage, or spoilage before goods reach store shelves. The platform has resolved two-thirds of such issues, resulting in safer food supplies, higher customer satisfaction, and lower costs. With WiliBot, these insights will become even more accessible across organizations.
The integration of ambient IoT and generative AI will extend to consumers through mobile apps, enabling them to interact directly with products to understand aspects such as carbon footprint, material composition, and freshness. WiliBot, built on a leading large language model, represents a significant step forward in merging ambient IoT with generative AI, paving the way for a new era of supply chain transparency and product interaction.
Conclusion:Â
The introduction of WiliBot represents a significant evolution in the IoT and AI landscape, signaling a shift towards more intelligent, responsive supply chains. By integrating generative AI with ambient IoT, Wiliot is enhancing operational efficiency and setting a new standard for product interaction and transparency. This development could prompt other industry players to adopt similar technologies, accelerating the move towards smarter, data-driven supply chains and more informed consumer engagement. The potential market impact is substantial, as companies across various sectors may increasingly leverage these advanced capabilities to stay competitive and meet growing consumer demands for transparency and sustainability.
