Case Study: Burning Rice achieves 88.4% call automation with Slang.ai

How Burning Rice Handled 88.4% of Calls Entirely With Voice AI

Burning Rice, a 7-unit multi-operator serving Korean BBQ in Dallas, faced a common hospitality dilemma: how to manage incoming phone orders and guest service without pulling staff away from in-house guests. To solve this, they deployed Slang.ai’s voice AI call-handling solution to keep phones from disrupting the dining experience while maintaining high-quality customer interactions.

Slang.ai answered 2,092 calls in the first 90 days, fully handling 88.4% of calls without human intervention, saving roughly 140 labor hours in that period (about 840+ hours annually) and helping achieve an 83% CSAT across locations. Slang.ai also identified that 30% of calls were for online orders and routed customers to the preferred ordering channel, driving an 85% click-through rate on ordering texts, improving efficiency and guest satisfaction.

Burning Rice

Evan Christianson

IT Experience Manager