Join Date
December 2024
Country
Gender
Not Specified
Age
Not Specified
About Tony Kam
Tony is the co-founder and CEO of Lilac Labs. Tony studied EECS at UC Berkeley where focus on operating systems.
Before Lilac, Tony worked at Tesla as an engineer, where he owned the display and touch component of the infotainment system. Tony also worked on the performance and reliability of driving visualization. Prior to that, Tony worked on manufacturing automation at Intel and robotics simulation at CloudMinds.
Before Lilac, Tony worked at Tesla as an engineer, where he owned the display and touch component of the infotainment system. Tony also worked on the performance and reliability of driving visualization. Prior to that, Tony worked on manufacturing automation at Intel and robotics simulation at CloudMinds.
Companies & Work
Lilac Labs
At Lilac, we automate the person taking order at the drive thru with a voice AI. We're building this for Quick Service Restaurants (QSRs) dealing with an historical labor shortage and rising wages.
Previous attempts at drive-thru voice ordering are costly to implement and have failed to deliver the accuracy and latency needed. It's now possible to build a voice interface that passes the threshold for a great customer experience.
In the United States, there are 200,000 Drive-Thrus handling 6 Billion visits a year. At 3 minutes per order, that's 34,000 human years spent on taking orders annually. Per location, on average we can deliver around $100,000 of value in terms of labor savings, upsell revenue lift, and training costs.
Previous attempts at drive-thru voice ordering are costly to implement and have failed to deliver the accuracy and latency needed. It's now possible to build a voice interface that passes the threshold for a great customer experience.
In the United States, there are 200,000 Drive-Thrus handling 6 Billion visits a year. At 3 minutes per order, that's 34,000 human years spent on taking orders annually. Per location, on average we can deliver around $100,000 of value in terms of labor savings, upsell revenue lift, and training costs.
