Retailers know what enters their stores and what leaves them, but what happens in between has traditionally been a major data blind spot. Caitlin Allen, SVP of Marketing at Simbe Robotics, joins Greg to explore how robots, computer vision, and shelf intelligence are helping retailers finally understand what is happening inside the aisle and turn that visibility into measurable business outcomes.
Caitlin has spent two decades building markets around disruptive technologies, from medical technology and enterprise software to roles at Andreessen Horowitz, Lyft, and now robotics. Across those experiences, one lesson has remained consistent: great technology is not enough. Creating a new category means helping customers understand why they need to change, giving them confidence to act, and building the organizational support required to make that change stick.
At Simbe, that means looking beyond Tally as simply an inventory robot. The company’s platform uses robotics and other sensing technologies to detect what is happening on the shelf, determine what needs attention, direct teams toward action, and confirm that the problem has been resolved. The result is a continuously improving source of shelf data that can support everything from pricing and replenishment to ecommerce fulfillment, demand forecasting, and the broader move toward self-optimizing stores.
In this conversation, Greg and Caitlin explore:
- Caitlin’s unconventional path from medical technology and entrepreneurship to Andreessen Horowitz, Lyft, and eventually retail robotics
- Why category creation starts with showing buyers the cost of standing still before asking them to embrace something new
- The balance between FOMO, the fear of missing out, and the fear of messing up when introducing disruptive technology
- Why the retail shelf remains one of the industry’s biggest data blind spots, and how digitizing it can unlock value across the entire retail ecosystem
- How Tally uses autonomous shelf scanning to identify misplaced products, pricing issues, gaps, and other problems that are difficult to capture consistently with manual processes
- Why 60% of products grocers believe are out of stock may actually be somewhere else inside the store
- The four stages of Simbe’s platform: detecting what is happening, determining what it means, directing the right action, and confirming that the action was completed
- How retailers decide between autonomous robots, fixed cameras, and RFID depending on data fidelity, product type, and how frequently information needs to be captured
- Why one large grocer projected hundreds of millions of dollars in savings from shelf intelligence, and why autonomous mobile robots produced significantly fewer errors than alternative scanning approaches
- How improved computer vision, longer battery life, and edge computing in Tally 4.0 expand what retailers can see and how quickly they can act on that information
- Why public retail environments are uniquely difficult for robotics, with changing displays, spills, shoppers, children, and unpredictable movement all sharing the same space
- The human-centered design thinking behind Tally, including how the team studied what makes a penguin appear friendly when designing a robot people would feel comfortable around
- Why earning trust is a prerequisite to delivering value when robots operate directly alongside shoppers and employees
- The importance of change management in robotics deployments, and why leadership alignment, repeated communication, clear KPIs, and integration into existing workflows can matter as much as the technology itself
- How successful retailers use automation to remove repetitive tasks while giving store employees more time for higher-value, human work
- Why long enterprise sales cycles require robotics companies to build relationships across multiple stakeholders instead of relying on a single internal champion
- How Caitlin thinks about events, category creation, strategic advisory boards, and building a go-to-market engine that can compete with companies that have much larger budgets
- Why robotics companies should make the customer the hero of their storytelling rather than leading with their own technology
- Caitlin’s advice for physical AI founders: own the architecture of the problem, choose investors who believe in the long-term vision, and find early customers willing to build alongside you
For robotics founders, marketers, retail leaders, and anyone trying to bring an unfamiliar technology into a traditional industry, this conversation is a practical look at what it takes to turn sophisticated robotics into adoption, measurable outcomes, and ultimately a new market category.
Learn more about Simbe Robotics: https://www.simberobotics.com/
Connect with Caitlin Allen on LinkedIn: https://www.linkedin.com/in/caitlinrallen/
Connect with Greg Toroosian: https://www.linkedin.com/in/gregtoroosian/
