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Simbe Expands Leadership as Retailers Scale Physical AI Across the Enterprise

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News provided by

Simbe Robotics

Sep 03, 2026, 09:00 ET

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Claudia Molina joins Simbe as Vice President of Client Success, while Caitlin Allen and Benjamin Bond assume new FMI leadership roles focused on foundations of AI-powered retail.

SAN FRANCISCO, Sept. 3, 2026 /PRNewswire/ -- As retailers scale physical AI across their enterprises, they are gaining something the industry has long lacked: a continuous, real-time understanding of what is physically true inside stores. That ground truth is becoming a critical foundation for AI-powered operations, enabling retailers to take more intelligent action across merchandising, fulfillment, supply chain and the broader retail ecosystem.

To help retailers realize that opportunity at scale, Simbe, the leading platform for shelf intelligence, today announced the appointment of Claudia Molina as Vice President of Client Success, alongside new industry leadership roles for Senior Vice President of Marketing Caitlin Allen and Senior Vice President of Strategy & Client Success Benjamin Bond at Food Marketing Institute (FMI). Together, the appointments expand Simbe's leadership both in helping global retailers translate physical intelligence into enterprise value and in advancing the industry practices that will shape the future of AI-powered retail.

As Vice President of Client Success, Molina will help Simbe's growing base of global retailers translate that intelligence into enterprise transformation and sustained business value. She joins Simbe following leadership roles at Meta, JPMorgan and American Express, where she led customer strategy, operational transformation and enterprise growth initiatives. At Simbe, she will guide executive customer relationships, long-term success strategies and transformation programs as retailers expand physical AI across hundreds and thousands of locations.

"Physical AI offers an entirely new operating layer for retail," said Brad Bogolea, CEO and Co-Founder of Simbe. "The opportunity extends beyond identifying what's happening on a shelf. Trusted, real-time ground truth of the store enables retailers to orchestrate actions across channels. Claudia brings the strategic and enterprise experience to help our clients realize that value at scale."

Simbe's expanding leadership within FMI reflects the company's growing role in advancing that transformation across the industry.

Allen has been appointed to FMI's Daunting Data Dilemma Industry Task Force, where she will contribute to industry efforts focused on retail data quality, interoperability and real-time operational visibility. Bond has joined FMI's Fresh Food Leadership Council, contributing expertise to initiatives focused on improving forecasting, reducing food waste and increasing visibility across fresh operations.

Both areas represent increasingly important challenges as retailers adopt AI. The quality of AI-driven decisions depends on the quality of the underlying data, including an accurate understanding of product availability, location, pricing, promotions and inventory conditions inside physical stores.

"We're pleased to welcome Caitlin Allen and Benjamin Bond to these important industry leadership roles, where their combination of retail expertise, technology leadership and operational perspective will strengthen the work of our committees," said Doug Baker, Vice President of Industry Relations at FMI. "We look forward to collaborating with them as FMI's Daunting Data Dilemma Industry Task Force and Fresh Food Leadership Council advance practical frameworks and best practices for the food retail industry."

The appointments build on a period of significant expansion for Simbe as retailers increasingly standardize physical intelligence across their enterprises. Simbe's platform combines proprietary robotics, computer vision, RFID, fixed sensors, edge AI and enterprise software to create a continuously updated picture of store conditions and orchestrate the actions that follow. That foundation is designed to make physical retail increasingly intelligent: first establishing trusted ground truth, then turning that intelligence into workflows and applications that help people operate stores even more effectively.

With deployments across thousands of locations in nearly a dozen countries, Simbe is building the physical intelligence infrastructure connecting the store to the increasingly AI-powered systems, teams and channels that depend on it.

About Simbe

Simbe is the physical AI platform for autonomous retail operations. Its vertically integrated system of Tally robots, fixed sensors, RFID, computer vision, and AI delivers a continuous, real-time picture of store conditions, orchestrating actions that keep stores running at their best, so every channel that depends on them can too. Deployed across thousands of locations in 10 countries, Simbe empowers associates, improves the shopper experience, and feeds the entire retail ecosystem with intelligence it can trust.

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