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Simbe innovates retail inventory management with proprietary AI and automation solutions

Google Cloud Results
  • Retailers achieve over 98% on-shelf availability using Simbe’s solution

  • Retailers improve price and promotional accuracy by 90%+

  • Up to 50 hours rededicated weekly to shoppers per store

  • >2% annual sales lift for retailers using the Simbe platform

  • 4x return on investment within the first 90 days for Simbe clients

Simbe offers a unique retail tech platform, combining computer vision, fixed sensors, RFID, and Tally—the first inventory robot powered by advanced AI and Google Cloud. This collaboration provides real-time data, security, and analytics to optimize inventory, enhance pricing compliance, and drive operational efficiency for an enhanced shopper experience.

A store where shelves are always fully stocked, prices are always accurate, and shopper needs are always met? Simbe set out to make this vision a reality with its advanced robotics and AI solutions, built on Google Cloud . Since its inception in 2017, Simbe has been committed to solving some of the most critical pain points in the retail industry, including inventory management, pricing accuracy, item location, and overall shopper experience. These inefficiencies cost retailers 5.5% of revenue and 5% of margin annually , a gap Simbe addresses by tackling what it calls retail’s last data desert.

“We saw early on the importance of having security and scalability as part of our DNA,” says Morgan Denis, chief of staff at Simbe. “We’ve used Google Workspace since day one, and it was critical for us that we applied the same security and infrastructure to our development environment. This allows us to move much faster as a company.”

The ability to move quickly is pivotal in the retail world where shopper expectations are evolving every day. Retailers need to strike a balance between restocking, pricing compliance, ecommerce fulfillment, shopper care, and more — pressures that have historically driven inefficiencies, such as products being misplaced or priced inaccurately. Together, these challenges can negatively impact shopper trust and revenue.

Simbe’s solution addresses these obstacles through a unified retail platform that combines computer vision, RFID, fixed sensors, and autonomous robots into one cohesive system.

We saw early on the importance of having security and scalability as part of our DNA. We’ve used Google Workspace since day one, and it was critical for us that we applied the same security and infrastructure to our development environment. This allows us to move much faster as a company.

Morgan Denis

Chief of Staff, Simbe

 This system captures a unique dataset at a scale never seen before in retail, spanning shelf availability, pricing information, and item locations — all foundational for smarter operations, supply chain optimization, and enhanced ecommerce fulfillment. Hosted at scale by Google Cloud, this intelligence layer helps retailers maintain shelf excellence while enabling data-driven responses to inventory gaps, pricing issues, misplaced merchandise, and fulfillment demands. Over time, clients use Simbe’s foundational data to automate key parts of retail operations, spanning the supply chain, merchandising, finance, and more.

State-of-the-art robotics backed by industry standard security

Simbe recognized the need for a reliable and scalable cloud infrastructure to support its ambitious vision from the outset. By building on Google Cloud, Simbe has embraced a suite of services that are integral to its operations — and security is at the heart of it.

“We work with the largest retailers in the world, many of which are public companies,” Denis explains. “We needed to make sure we could operate fast but securely, and that’s why we chose Google Cloud.”

The platform’s dataset, critical to the digitization of physical stores, ensures real-time insights into shelf conditions, pricing accuracy, and product locations to bridge the gap between in-store and online shopping. All of this data needs to be encrypted at rest and in transit to ensure its integrity and confidentiality. Using Security Command Center , Simbe gains 360-degree insight into its cloud security and data posture, and can verify how these mechanisms are working.

Given the unprecedented nature of our data, we prioritize a two-layered security approach: strong encryption and stringent, process-driven access control. This is reinforced by tools like the Security Command Center.

Morgan Denis

Chief of Staff, Simbe

Meanwhile, the company uses integrated Identity and Access Management to implement granular, role-based access control. This ensures that only authorized personnel can access appropriate information, which is crucial for maintaining compliance with data privacy regulations.

“Given the unprecedented nature of our data, we prioritize a two-layered security approach: strong encryption and stringent, process-driven access control,” Denis says. “This is reinforced by tools like Security Command Center.”

Revolutionizing retail with data-driven robotics

Within Simbe’s platform, Tally robots — optimized for their ability to capture real-time shelf data — use advanced computer vision and AI to navigate store aisles and provide actionable insights. As part of the broader system, Tally plays a central role in enabling accurate inventory counts, precise item locations, and smarter ecommerce fulfillment, which together support the platform’s operational scope and value. Machine learning models underpin Tally’s ability to learn and improve, swiftly adapting to detect inventory discrepancies, pricing anomalies, and misplaced goods.

Google Cloud doesn’t only provide the technology we need to support our clients. Rather, it understands the pulse of the retail market, which has been the most critical aspect of our relationship.

Morgan Denis

Chief of Staff, Simbe

At the heart of this precision is Simbe Vision , an advanced fixed-camera computer vision solution. Simbe Vision delivers continuous, full-store visibility with 98.7% SKU-level identification accuracy and over 99.3% shelf condition recall, far exceeding the performance of standard computer vision systems. This level of accuracy ensures retailers can maintain trusted real-time inventory data that powers both in-store operations and ecommerce fulfillment.

Simbe’s real-time processing capabilities leverage scalable Compute Engine virtual machines to handle data from thousands of devices simultaneously, empowering retailers with actionable insights for immediate response.

When Tally or Simbe Vision detects inventory gaps, these insights enable staff to address restocking needs within minutes rather than hours, bridging online accuracy with physical availability.

Meanwhile, BigQuery , a unified data platform, handles historical data analysis and creates predictive models to inform future business decisions. This works in tandem with Looker , a business intelligence platform, to allow retailers to visualize shelf availability trends, identify peak demand periods, and optimize promotional pricing strategies.

Simbe’s corporate roadmap is also closely aligned with the expertise Google Cloud has in the retail industry. This means Simbe can integrate its solutions into existing retail platforms using Google Cloud API management tools, ultimately fostering trust and collaboration with global retail giants while enabling seamless data exchange and operational efficiency.

“Google Cloud doesn’t only provide the technology we need to support our clients. It also has the trust of the retail ecosystem” Denis says. “As a retail technology company working with Google Cloud, we can service the industry in the best way possible.”

Helping retailers reach 98% on-shelf availability

The partnership between Simbe and Google Cloud has yielded significant benefits for retailers, helping them achieve over 98% on-shelf availability, which ensures products are always stocked and accessible to shoppers — both in physical stores and online. By automating pricing compliance, retailers have reached promotional and pricing accuracy in the high 90% range, eliminating errors that can erode shopper trust. These improvements have driven a 2% annual sales lift while providing a return on investment of 4x within the first 90 days, scaling up to 15x as implementation expands.

With real-time data processing capabilities, retailers can now address inventory issues and take actionable steps within minutes, reducing overhead and enhancing operational efficiency. Beyond boosting financial performance and strengthening shopper trust and loyalty, this synergy ensures retailers maintain a competitive edge in an increasingly dynamic marketplace.

Looking ahead, Simbe plans to deepen its relationship with Google Cloud to enhance the analytical capabilities of its platform and explore new technologies such as large language models. With these AI-driven tools, Simbe aims to revolutionize the way data is communicated, further streamlining decision-making for retail associates.

Additionally, Simbe continues to refine Tally's design to more seamlessly integrate into the retail environment while expanding its geographic footprint and pilot programs. As part of its broader growth strategy, Simbe is focusing on scalability and making its datasets more actionable to help retailers stay ahead of shopper demands.

"Our collaboration with Google Cloud is built on mutual trust, scalability, and a client-first mentality,” Denis says. “It’s not just about building great products — it’s about exceeding our clients’ expectations and delivering value on a global scale.”

Our collaboration with Google Cloud is built on mutual trust, scalability, and a client-first mentality,” Denis says. “It’s not just about building great products — it’s about exceeding our clients’ expectations and delivering value on a global scale.

Morgan Denis

Chief of Staff, Simbe

Simbe is the trusted partner for retailers confronting today’s most critical challenges: 66% of ‘out-of-stock’ items hidden within stores, 90% of pricing errors missed by manual audits, and 95% labor attrition. As the market leader across a dozen retail sectors globally, their unique combination of AI, robotics, RFID, and advanced sensors delivers immediate shelf intelligence without the need of planograms. 

Industry: Retail

Location: United States

Products: Compute Engine , Vertex AI , BigQuery , Looker

Google Cloud
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