We are Delivering the Future of the Warehouse & Fulfillment

By using cognitive computing, AI, and machine learning, as well as information captured from sources including sensors or connected databases, smart machines can think, react, and continuously improve processes. They can perform dynamic tasks beyond simply repetitive motions, redefining what work machines can perform and presenting a unified application of advanced data science and engineering.

Humans are visual learners. Robots can be too. Computer vision allows for visual information to be processed and reacted to by a robotic system. When combined with AI and machine learning, 3-D vision gives supply chains a powerful sense of sight with which to understand their environment!

Machine learning can take a task and find ways to do it better, connecting to information sources and using them to obtain results through data-driven decision-making. It is also one of the key components of artificial intelligence, where machines can learn and interact autonomously in ways that mirror our own thinking processes. These concepts allow machines to determine the right approach for the handling and packaging of products ranging from home goods to lifesaving medical equipment, and everything in between.

By definition, a robot is a machine that can interact with the world and replicate human efforts or actions. By combining the discipline of robotics with AI and machine learning, we can achieve outcomes that have never before been possible when automating end-of-the-line packaging.

By using cognitive computing, AI, and machine learning, as well as information captured from sources including sensors or connected databases, smart machines can think, react, and continuously improve processes. They can perform dynamic tasks beyond simply repetitive motions, redefining what work machines can perform and presenting a unified application of advanced data science and engineering.