Qu, the leading unified commerce platform, has officially announced the launch of Qu Business Edge, otherwise known as Qube.
According to certain reports, the stated solution arrives bearing an ability to cut down on costs, boost check sizes, and accelerate service. More on the same would reveal how it packs together edge computing with embedded AI to reimagine the underlying infrastructure of a modern restaurant, including drive-thru, kitchen, online, on-premises, and more.
To understand the significance of such a development, we must take into account how restaurant downtime, because of connectivity issues, is estimated to cost the industry a whopping $5.24 billion on an annual basis.
Against that, Qube brings forth a mechanism to deliver 99.99% uptime and uninterrupted offline performance with multi-layer redundancy. Thanks to that, operators can now maintain full functionality of POS, kiosk, kitchen display systems (KDS), as well as process credit card payments, something it can manage even during outages, unreliable WiFi, or high-stress service periods.
The technology also integrates AI into the mix to enhance performance at every touchpoint, whereas on the other hand, it really goes the distance to ensure clean, consistent data across every channel so to conceive the basis for AI-powered forecasting, upsells, and cross-channel intelligence.
“Qube represents a new class of restaurant infrastructure,” said Darien Bates, Chief Product Officer at Qu. “It blends physical systems awareness, edge computing, and intelligent automation to unlock smarter, safer, and more resilient restaurant operations. We’re giving enterprise operators a new strategic edge — literally and figuratively.”
Talk about the whole value proposition on a slightly deeper level, Qube is available, at launch, in two separate series.
Starting from Qube A Series, it provides you with maximum stability and uninterrupted operations. As for its core features, they include low-latency order routing, high-availability infrastructure, real-time data replication, and cloud redundancy, enabling POS, Kiosk, Payments, and KDS to remain live even during outages or peak service.
Turning our attention towards Qube E Ss Series, it is purpose-built to enhance Qu’s Energy & Equipment Intelligence (E2I) capabilities through proactive, AI-powered edge monitoring and control of physical infrastructure, including HVAC, refrigeration, and kitchen production equipment.
It also leverages Qu’s assortment of proprietary IoT sensors, LoraWAN gateway, and advanced analytical models to harmonize the interaction between facility managers and the in-store associates closest to the equipment.
Having referred to its capabilities in theory, we must now expand upon a piece of data detailing the solution’s real-world impact so far.
You see, leveraging the given solution, Taco John’s eliminated lag time with 80% faster order routing and real-time order injection from drive-thru to Kitchen Display Systems (KDS). Furthermore, Dave’s Hot Chicken achieved 100% uptime during critical NRO launch weekends, generating $100K+ in revenue without a single crash.
Beyond that, a burger chain literally doubled drive-thru volume from 50 to 100 cars per hour, twice the industry average. Not just that, it also reduced its IT workload by 30%.
Rounding up highlights would be a multi-brand fast-casual chain who lifted average check size by 22% through intelligent cross-sells on kiosks.
Moving forward, Qu plans on introducing; as a part of its Qube IQu Series, real-time AI inference at the edge. The stated technology will flip every restaurant into a hub of intelligent operations.
In essence, an agentic-AI architecture and secure edge-first inference will enable IQu to unlock voice and vision AI for ordering accuracy, dynamic upsell prompts, physical security alerts, and other advanced AI capabilities.
“When we pioneered edge computing in restaurants, it was about eliminating costly downtime and making sure operators could serve guests no matter what,” said Amir Hudda, CEO at Qu. “With Qu Business Edge, we’re not just solving today’s reliability challenges — we’re laying the foundation for an AI-enabled future where technology itself becomes a critical part of a restaurant’s competitive edge.”
