Unique Features
“Our platform was designed from day one to scale seamlessly—from a single mom-and-pop shop to a 500-location enterprise—without changing architecture or sacrificing brand personality,” said Qin.
What sets Eva apart is its ability to autonomously manage complex orders—a challenge where many voice AI solutions fall short, noted Qin.
Eva’s multilingual and multi-modal capabilities allow it to fluidly bridge voice and text channels. By combining promotional SMS campaigns with real-time customer interactions, Eva serves as a growth engine for restaurants.
“Our proprietary AI not only configures itself by analyzing each restaurant’s menu—it also self-tests and optimizes the deployment,” Qin added. “Onboarding is so streamlined that most restaurants go live in under 24 hours.” Once live, Eva learns from every conversation, continually adapts to dynamic customer behaviors and preferences.
Restaurants can be up and running with Eva in under 24 hours. The system scans the menu, configures itself, and even self-tests the setup—no heavy lifting required on the operator’s end. Once deployed, Eva continues to learn and evolve.
There’s also a marketing layer: Eva can send welcome messages, personalized promotions, and even cross-promote between locations, all through SMS. Its multi-modal AI blends customer engagement and order-taking into a single, automated flow.
Real-World Results
Missed calls and dropped orders can quietly chip away at a restaurant’s bottom line. For operators using Eva, the impact has been immediate. “Our restaurant partners… consistently report 15-25% increases in food order revenue and 80-95% reductions in staff call handling,” said Qin.
What’s Next
To date the five-person team behind foreva.ai is most proud of its “one-click integration” with Square.
But the real power, according to Qin, lies in the synergetic integration of voice and text modalities that turns Eva from a task executor to a customer growth engine: voice + SMS growth loop, turning every call into a marketing opportunity.
Looking ahead, the team plans to further improve the agent, to make it multi-model and serve multi-channel use cases. “More importantly, we want to work with more innovative restaurant partners and help them to leverage AI to optimize their workflow, reduce labor cost and boost productivity,” said Qin.
Advice for Operators
Qin draws parallels between AI and past waves of transformative technology—like the internet, mobile and cloud computing. His message to restaurant operators is simple: don’t wait.
“Today is the time to take bold risks and adopt AI, learn how to work with it and incorporate it into your own business … You will have the edge in this hyper competitive industry to survive and thrive. Any transition will create uncomfortable changes, they might face resistance from their team, their customers and their partners sometimes, but forward is the only way.”
