On their mission to automate and optimize brick and mortar retail with state-of-the-art AI and deep learning, Focal Systems is proud to announce the launch of the world’s first “Self-Driving Store”-Operating System powered by computer vision and AI, called FocalOS. After 7 years hardening the platform with the largest retailers in the world, Focal’s “Self-Driving Store”-Operating System is now Generally Available.
Enabled by AI-powered Shelf Cameras, FocalOS leverages computer vision and deep learning technology to provide real-time shelf digitization. This digitization feeds FocalOS, which automates order writing and ordering, directs stockers to double their productivity, optimizes category management on a per store basis, manages e-comm platforms to eliminate substitutions, tracks productivity per associate to drive further efficiencies, and much more. With FocalOS, corporate leaders can “teleport” into any store from anywhere in the world in seconds to see exactly what their shelves look like and how their stores are performing.
Major retailers have proven >50x ROI with FocalOS, making this the most profitable investment in all of retail technology.
Francois Chaubard, Founder and CEO, will unveil this solution in depth at the FMI Midwinter Conference in Orlando, Fla. on March 29.
Retailers have incredibly challenging jobs. Managing thousands of SKUs, employees, stores and ecommerce, while facing rising labor and supply chain costs and the evergreen battle for market share. Since 2015 our team has worked with leading global retailers to invent and implement AI solutions that drive true innovation, transformative financial returns and happy customers.
–Francois Chaubard – Founder/CEO Focal Systems
Focal has worked with leading retailers across North America, Europe and Australia and deployed more than 50,000 cameras worldwide. This launch enables retailers the ability to run fully automated “Self-Driving Stores” that achieve unprecedented labor efficiencies and sales growth just by setting the store on “Cruise Control” and letting the AI take it from there.