Beyond Smart Carts: How Veeve Built Their Enterprise Moat by Expanding from Hardware to Retail Intelligence

Beyond Smart Carts: How Veeve Built Their Enterprise Moat by Expanding from Hardware to Retail Intelligence

Hardware startups face a perpetual challenge: how do you prevent your innovation from becoming a commodity? In a recent episode of Category Visionaries, Veeve founder Shariq Siddiqui shared how they evolved from a smart cart manufacturer into a comprehensive retail intelligence platform.

The One-Trick Pony Problem From the beginning, Shariq understood the risks of remaining just a hardware company: “I don’t want to build one trick pony, because one trick pony products is that somebody can come in and immediately offer a cheaper solution to a retailer or to any industry, and then you’re kind of like left in a really bad place.”

The Platform Vision Instead of just focusing on smart carts, Veeve recognized their true asset: computer vision capabilities and the data they could capture. “We consider computer vision as the nucleus of our company,” Shariq explains. This realization led to a broader vision of what their technology could enable.

From Hardware to Intelligence The evolution was methodical:

1. Data Collection Infrastructure “The device that we’ve built is effectively, you can think of this as like the Google Streetcar with cameras. So it’s scanning everything,” Shariq notes. This created a foundation for deeper retail insights.
2. Retail Analytics They expanded into “providing intelligence to retail partners… that intelligence can come from strength detection, that intelligence can come from how your customers move around the store. What are the most profitable aisles?”
3. Digital Twin Creation “When you have the ability to have eyes, these cameras that are basically recording in cart sessions, in aisle sessions, what’s on the shelf, you can digitize all of these things,” Shariq explains. This created opportunities for AR/VR applications and comprehensive store analysis.

Building the Operating System The ultimate vision extends beyond analytics to becoming what Shariq describes as “the retail operating system, where they can plug and play into these microservices so that they can deploy other hardware, they can deploy cameras, and then they can kind of monitor how their stores are performing by just basically having access to a dashboard across multiple different retailers.”

Strategic Moat Building Their approach to creating defensibility had several key elements:

1. Data Network Effects By collecting comprehensive store data, each deployment makes their system more valuable for future analytics.
2. Integration Hub Strategy Becoming the central platform that connects various retail technologies creates switching costs and strategic value.
3. Expanded Use Cases “We started leveraging computer vision to understand consumer behavior, started to understand your aisle traffic, the pattern at 08:00 a.m. versus at 09:00 a.m.,” Shariq notes, showing how they continuously found new applications for their core technology.

For hardware startups, Veeve’s evolution offers crucial lessons in building defensibility. Rather than trying to protect their initial hardware innovation, they used it as a beachhead to establish a broader platform play. The smart carts became data collection points for a more comprehensive retail intelligence system.

The key insight? Hardware innovations often create opportunities for platform businesses, but only if you’re willing to look beyond the initial product. By focusing on the broader possibilities enabled by their core technology – in this case, computer vision and data collection – Veeve transformed a potentially commodity hardware product into a strategic retail intelligence platform.

This approach doesn’t just create better defensibility; it also enables continuous value creation for customers as the platform expands. It’s a powerful reminder that in hardware businesses, the long-term value often lies not in the device itself, but in the ecosystem you can build around it.