Ottonomy has been selected as a part of the NRF Innovation Lab Showcase featuring the latest application of automation technology, artificial intelligence, machine learning, and robotics for the retail industry. Ottobot was recently recognized as Sustainability Product of the Year by BI Group, and can enable retailers to integrate sustainable practices and adopt environmentally friendly processes while also efficiently managing the customer experience.
Roughly 4.2 million people, or 2.8% of U.S. workers, quit their jobs in October 2020, according to data released by the Bureau of Labor Statistics; with a majority of those from the retail and restaurant spaces. Rising minimum wages are making it more commercially challenging for the retail and food service industry to increase staff availability within stores. Ottobots are designed to help bridge this gap and provide efficient solutions so that customers can be served efficiently with lower manpower and also helping to reduce carbon footprint.
“Sustainability is at the core of our business and a key area of focus across the enterprise. The labor shortage makes autonomous delivery for retail a highly attractive solution in today’s volatile market,” says Ritukar Vijay, CEO of Ottonomy. “Automating indoor, curbside and last-mile deliveries are being considered at every level to help improve experiences for the customers and enhance the bottom line for retailers.”
Ottonomy’s award-winning technology recently made significant announcements with CVG Airport and Presto for deploying Ottobots for airport and restaurant deliveries. Leveraging the core team’s experience in industrial automation and autonomous platform industries, Ottonomy has developed a proprietary software stack to autonomously navigate complex environments, to enable deliveries in indoor environments, parking lots as well as last-mile deliveries.
Ottonomy is also a new addition to NewLab at Brooklyn Naval Yard in New York, where they are demonstrating Ottobots capability for deployment in inclement weather conditions such as snow and rain.
