Episode description

In this 2nd part of our 3-part mini-series with Amir Hudda, the CEO of Qu, we discuss technology innovations that improve transaction speed, in-store redundancy, and uptime.  

We dive into innovation areas like Edge Computing and how it helps reduce data loads (speed) when implemented on modern cloud architecture. We also discuss Voice Ordering and how Qu was "accidentally" led to integrate voice into our mobile reporting App, Notify.

Bonus content: Learn how real-time POS data can drive pricing, promotion, and production optimization. 

Key Insights

🎙️Removing technology as a burden
You cannot afford downtime as a restaurant. You need technology with real-time capabilities and no lag times for optimal guest experiences and team member efficiencies. 

🎙️The Definition of Edge Computing
Edge Computing brings data  closer to the point of purchase, with deeper computing power to the store level. Results: Improved speed and redundancy.

🎙️Experiments with Voice Ordering
Voice ordering had multiple hops to the cloud and created lags for guests. We needed redundancy and speed. This was the genesis for looking into edge computing.

🎙️Doubling Down on Innovation During the Pandemic
While many companies had layoff and less innovation, our investors asked us to innovate in a way that would help the restaurants come out stronger. Edge computing was integrated into our platform during this time.

Related Resources
Making Technology Invisible in the Restaurant – Amir Hudda CEO of Qu (part 1)
Notify: App that Saves Franchisees Time & Money
How Edge Computing is Revolutionizing Restaurant Tech

Connect with Amir on LinkedIn

Check out Qu's Annual State of Digital for Enterprise QSR & Fast Casual Brands