As a result of extensive in-store operations, Tally features unparalleled accuracy and versatility
San Francisco, CA - June 10, 2021 – Simbe Robotics, Inc., the company leveraging robotics and AI to elevate the performance of retailers with real-time insights into inventory and operations, today announced that its industry-leading retail intelligence robot Tally completed over 75,000 miles of operation in-stores – the equivalent of more than three trips around the Earth.
First introduced in 2015, Tally solves one of retail’s greatest challenges, providing visibility to shelf conditions across the entire store. By leveraging extensive data collected through shelf scans, Tally provides actionable opportunities for retailers to lower out-of-stocks, improve price compliance and validate promotional execution. The robot operates multiple times a day during store hours, navigating seamlessly alongside shoppers and store teams without disruption or interference. As the only retail robotics solution on the market to offer both RFID and computer vision capabilities, Tally collects insights from both consumer packaged goods as well as soft-tagged goods like clothing and accessories.
“With every mile traversed in stores, we’ve continued to enhance Tally’s market leading computer vision and AI technology, creating a best-in-class solution for retailers,” said Brad Bogolea, Co-Founder and CEO of Simbe Robotics. “As a result of our diligent work to continuously hone Tally’s algorithms over time, we are now able to work in any store regardless of shelf configuration, fixture type or price tag format.”
Through operationalizing Tally’s data, retailers identify 2-15 times more out-of-stocks than manual store scans and reduce outs at shelf by 20-30% compared to stores without Tally deployed. Additionally, Tally manages the integrity across pricing and promotions ensuring optimized sales and mitigating penalties.
“Having now operated hundreds of thousands of autonomous hours and captured and analyzed over 1.5 billion images, Simbe has an unprecedented dataset on in-store operations,” said David Cortese, Chief Commercial Officer at Simbe Robotics. “Until the introduction of Tally, these insights were not available to retailers, but now are driving tremendous growth for retailers.”
To date, Tally has been deployed in more than a dozen of the top 250 global retailers in the Americas, Europe, the Middle East, and Asia. Simbe Robotics has the largest global footprint of any retail intelligence robot, with public deployments with Carrefour, Decathlon Sporting Goods, Giant Eagle, the Save Mart Companies, and Schnuck Markets.
About Simbe Robotics
Simbe Robotics is the global leader in automation solutions that give retailers unprecedented visibility and insight into the state of their store environments, while improving inventory and operational challenges. Simbe is a privately held, venture-backed company headquartered in San Francisco, CA and works with major worldwide retailers and brands across the US, Europe and Asia. For more information, visit www.simberobotics.com or follow the company at @simberobotics.
About Tally™
Tally is the world’s first fully autonomous in-store retail intelligence solution. Tally works in concert with retail store associates by empowering them with timely information to ensure products are always stocked, in the right place and correctly priced. Using a suite of sensors, the robot operates safely during normal store hours alongside shoppers and employees and doesn’t require any infrastructure changes to the store. Tally’s design is intuitive, friendly, and fits naturally into the retail environment. The robot scans entire stores up to three times per day and autonomously returns to its dock allowing for continuous operation. Combined with Simbe’s cloud-powered software platform, powered by computer vision and machine learning, retailers have unprecedented information and insight into the state of their stores. This information can be used to streamline store performance, maximize customer satisfaction, increase sales, and optimize operational expenditures.
