Imagine walking into a store where finding products is effortless, restocking happens seamlessly, and logistics are fully optimized—all thanks to AI-powered robots. With advancements in spatial computing, artificial intelligence, and robotics, this vision is quickly becoming reality.
In the latest update from our robotics team, we are introduced to the use cases that our team is working towards.
An advanced AI-powered restocking robot trolley powered by the Auki network will revolutionize both the customer and employee experience. Shoppers will be able to receive real-time assistance, with the trolley acting as an intelligent shopping guide—helping them navigate aisles, locate products, and even suggest alternatives based on stock availability. Meanwhile, store employees can focus on customer service rather than spending hours manually stocking shelves.
What makes this possible? The Auki network, spatial computing and AI. These technologies allow robots to understand and adapt to their environments dynamically.
The AI-driven trolley will:
As technology continues to evolve, the ability of these robots to improve customer experiences and employee workloads will transform retail environments.
Beyond retail floors, AI-powered robots are transforming warehouse and supply chain management. Traditional warehouses rely on rigid, pre-programmed robots that struggle to navigate dynamic environments. However, the next-generation of logistics robots leverage spatial computing to adapt in real time, improving efficiency across logistics operations.
These robots will be able to:
Industry leaders are already seeing the impact of AI-driven logistics. Amazon, Walmart, and Ocado have been investing heavily in robotics to streamline their supply chains, ensuring faster deliveries and reduced operational costs. As demand for faster order fulfillment grows, autonomous robots will play an even bigger role in logistics innovation. However as robots come to play an increasingly important role in logistics, interoperability and standardization will become distinguishing factors between suppliers.
Retailers lose up to a trillion dollars annually due to stock mismanagement and overproduction. Our prototype shelf-scanning robot will solve this problem by continuously analyzing shelf contents, detecting discrepancies, and predicting restocking needs before products run out.
The robot can:
These innovations will help retailers manage their stock more efficiently as well as improving sustainability by preventing excess stock and unnecessary production.
Here at Auki we are actively developing robots to meet scenarios above as well as the underlying spatial computing protocol that enables this intelligent automation.
We’re still only scratching the surface of what’s possible. As AI and spatial computing continue to evolve, robotic solutions will not only make retail and logistics operations smarter but also more sustainable, transparent, and efficient.
We look forward to leading this transformation. Watch our video and stay tuned for what’s next!
Auki is building the Auki network, a decentralized machine perception network for the next 100 billion people, devices and AI on Earth and beyond. The Auki network is a posemesh, an external and collaborative sense of space that machines and AI can use to understand the physical world.
Our mission is to improve civilization’s intercognitive capacity; our ability to think, experience and solve problems together with each other and AI. The greatest way to extend human reach is to collaborate with others. We are building consciousness-expanding technology to reduce the friction of communication and bridge minds.
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The Auki network is a posemesh: a decentralized machine perception network and collaborative spatial computing protocol, designed to allow digital devices to securely and privately exchange spatial data and computing power to form a shared understanding of the physical world.
The Auki network is an open-source protocol that powers a decentralized, blockchain-based spatial computing network. Designed for a future where spatial computing is both collaborative and privacy-preserving, it limits any organization's surveillance capabilities and encourages sovereign ownership of private maps of personal and public spaces.
The decentralization also offers a competitive advantage, especially in shared spatial computing sessions, AR for example, where low latency is crucial.
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