Tech News, Magazine & Review WordPress Theme 2017
  • Home
  • Supply Chain Updates
  • Global News
  • Contact Us
  • Home
  • Supply Chain Updates
  • Global News
  • Contact Us
No Result
View All Result
No Result
View All Result
Home Supply Chain Updates

Simbe Unveils Tally 3.0, The Most Advanced Autonomous Inventory Robot

usscmc by usscmc
October 26, 2020
Simbe Unveils Tally 3.0, The Most Advanced Autonomous Inventory Robot
Share on FacebookShare on Twitter

Platform Updates Include a Best-in-Class Optical System and Enhanced Data Processing Functions, Solidifying Simbe’s Industry Leadership 

Simbe Robotics, Inc., the company leveraging robotics and AI to provide retailers with real-time insights into inventory and operations, announced the launch of Tally 3.0 – the latest design iteration of its autonomous retail robot, Tally. Simbe’s unique, human-centered approach to design has set Tally apart from competitors since its initial debut in 2015. With enhancements to the robot’s optical system, greater durability and maneuverability to ensure cost-effective top performance, and the introduction of an embedded data processor, Tally 3.0 continues to lead the pack and remains the most innovative, efficient retail robot on the market.

“At Simbe, our ongoing commitment to best-in-class design and unparalleled data accuracy has empowered our partners with the real-time shelf insights they need to protect their bottom line and competitively serve customers in a rapidly evolving retail landscape,” said Brad Bogolea, Simbe’s co-founder and chief executive officer. “We’re pleased to announce Tally 3.0 and unveil an even-better autonomous solution to the most common problem plaguing the retail industry – inventory management.”

Recommended AI News: Just AI Officially Launches World’s Open-Source First Kotlin-based Conversational AI Framework

Best In-Class Optical System for Superior Sensing Capabilities

Simbe’s multi-pronged approach to enhanced optics combines new autofocus capabilities with more cutting-edge sensors that improve depth perception, enabling Tally to efficiently analyze inventory in every aspect of the retail environment. Simbe strategically added height to Tally’s slender base, making room for additional Intel RealSense depth and RGB cameras to ‘see’ more products on shelf – including top shelf overstock items. Tally’s new, autofocus optical system accurately captures shelf tags and reads data from up to 30 inches away, enhancing the robot’s recognition accuracy to nearly 99% and allowing it to do its job without slowing its traversal speed. These thoughtful additions to Tally’s design enable the robot to precisely capture inventory data from any store fixture or variable shelving unit, from products on standard shelving to items stacked in coolers in the freezer aisles.

Optimal Engineering for Cost-Effectiveness and Long-Term Performance 

Additionally, Simbe has leveraged the newest mobile technology to create a more cost-effective and resilient Tally robot with the same compact, slim form. Designed for long-term performance with minimal maintenance, Tally is now five times as resilient, increasing Tally’s lifetime traversal capabilities to more than 5,000 miles per robot – and at an aggressively lower cost to scale.

Enhanced Computing Platform With Hybrid Data Processing

As Tally traverses store aisles and captures real-time shelf data, the inventory information is then sent to Simbe’s proprietary, secure cloud platform that enables store teams to stitch together high-definition 3D images of the store shelves. Tally 3.0 features an embedded data processor with a graphical processing unit, allowing the next iteration of Tally to be even more efficient by running its deep computer vision algorithms on the edge. This additional processing capability and unique hybrid approach improves the efficiency of Tally’s data capture, providing Simbe’s customers with shelf information more quickly and seamlessly, as well as helps minimize the costs of capturing and uploading the robot’s data to retailers’ back-end systems.

Category Leadership, Proven Track Record 

Simbe’s team of retail experts, data scientists, world-class robotics engineers and industrial designers have propelled the company to the forefront of the robotics industry as the leading data-driven inventory solution for retailers. Using a unique combination of RFID scanning technology, computer vision, and AI-powered analysis, Tally provides actionable, e-commerce level insights to physical retailers, solving for the $1.75 trillion “ghost economy” defined by out-of-stock items, accurate price execution, and lack of product location optimization industry-wide.

Recommended AI News: Converge Technology Solutions Achieves Titanium Partner Status with Dell Technologies

“Our long-standing partnership with Simbe has brought immense value to Schnuck Markets, from its immediate impact on store teams and daily operations to strategic business planning and forecasting at the corporate level,” said Dave Steck, vice president of IT infrastructure and application development at Schnucks. “The information Tally collects enables better decision making up the entire grocery supply chain and offers our store teams a power tool that supports their work flow and increases efficiency. We’re thrilled to continue our work with Simbe to build a world-class retail experience for our customers and partners.”

Tally has been deployed in more than a dozen of the top 250 global retailers in the Americas, Europe, the Middle East, and Asia. Through work with retail partners including Carrefour, Decathlon Sporting Goods, Groupe Casino, Giant Eagle, and Schnuck Markets, Simbe is building one of the most valuable datasets in the retail ecosystem. A globally recognized top three consulting firm conducted an independent, extensive study within a leading regional grocery partner, which proved that Tally:

  • Detects up to 10x more out-of-stock items than manual audits conducted by store teams

  • Averages a 20% reduction in out-of-stock items at the store level

  • Pays for itself as quickly as the first month of deployment at a store

  • 70% or more in labor savings for manual shelf audit-related tasks providing critical boosts in productivity in other areas (restocking, customer service, online grocery order picking)

  • $5-10 of increased margin contribution for each missing/incorrect price tag identified and corrected, driven by improved pricing / promotional execution at the store level.

  • Yield more than 2% in annual sales lift due to better data and improved store execution

Recommended AI News: MongoDB Atlas Is The First Cloud Database To Enable Customers To Run Applications Simultaneously On All Major Cloud Providers

usscmc

usscmc

No Result
View All Result

Recent Posts

  • How Hapag Lloyd captured a major market share in the Container Shipping Industry in USA
  • Why USA’s East Coast is the Favorite Destination for Manufacturing Companies
  • How Trade Relations Between the USA and UK Improved After Keir Starmer Became Prime Minister
  • Tips and Tricks for Procurement Managers to Handle Their Supplier Woes
  • The Crazy Supply Chain of Walmart Spanning Across the Globe

Recent Comments

  • Top 5 Supply Chain Certifications that are in high demand | Top 5 Certifications on Top 5 Globally Recognized Supply Chain Certifications
  • 3 Best Procurement Certifications that are most valuable | Procurement Newz on Top 5 Globally Recognized Supply Chain Certifications

Archives

  • July 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023
  • April 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • September 2022
  • August 2022
  • July 2022
  • June 2022
  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020
  • August 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • December 2019
  • November 2019
  • September 2019

Categories

  • Global News
  • Supply Chain Updates

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
  • Antispam
  • Contact Us
  • Disclaimer
  • Home
  • Privacy Policy
  • Terms of Use

© 2025 www.usscmc.com

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT
No Result
View All Result
  • Home
  • Supply Chain Updates
  • Global News
  • Contact Us

© 2025 www.usscmc.com