“Retailers are at an interesting crossroads,” Mariya shared. “They’re being asked to deliver on customer expectations, optimize operations, and prepare for technologies that are still evolving. That requires a more holistic, flexible approach to infrastructure.”
Many of the conversations we’re having today focus on practical AI use cases—like
item recognition and
age verification—that improve both accuracy and customer experience at checkout. But as Mariya pointed out, these applications don’t exist in isolation. They rely on connected systems that bring together data from voice, vision, movement, and more—all in real time.
Sustainability also plays a bigger role now, not just in procurement decisions, but in long-term design. “Energy consumption is top of mind,” she said. “Retailers are thinking about power usage, modularity, and the ability to scale up or down across thousands of stores—because those small savings add up quickly.”
What we’re learning through this work is that future-ready retail isn’t about one breakthrough. It’s about designing platforms that can evolve—meeting the needs of today while staying open to what’s next.
To dive deeper into the conversation,
contact us. Or, to listen to the full episode of the podcast click
here.
