How a Growing Restaurant Tech Startup Used Rootle Voice AI to Serve Its Customers Even After Hours
The Overview:
Imagine this: It’s 11 PM, and a popular restaurant is wrapping up a long day. Suddenly, the billing system starts acting up. The staff tries calling for help. But the support lines are closed for the night.
That’s the kind of real-world challenge our client, an Indian restaurant tech startup, was facing. They offer a powerful POS and billing software that helps cafés, quick-service outlets, and restaurant chains manage everything from orders and inventory to CRM and online delivery.
As more restaurants started using the platform, support requests started pouring in, even at odd hours. And when your product is at the heart of a restaurant’s daily operations, you can’t afford to go silent after 8 PM.
The Problem:
The startup’s support team was doing a great job—during the day. But once business hours were over, queries would pile up. Customers needing help with urgent issues like:
• Billing not syncing
• Orders not reflecting
• Login problems during peak hours
• Issues with hardware
…were left waiting until the next morning.
They knew something had to change. They needed to be available when their customers needed them most—even if that meant late nights and weekends.
Solution: Rootle.ai’s Voice AI Agent
That’s when they teamed up with Rootle.ai to roll out a Voice AI Agent, a virtual assistant that talks just like a human, understands what the caller needs, and offers real solutions right on the call.
The goal was simple:
• Be available 24×7
• Answer common issues instantly
• Free up human agents to focus on more complex problems
Within just three weeks, the Voice AI was trained using their most common support tickets and rolled out on their existing phone line. It spoke both English and Hindi, understood restaurant lingo, and could even log tickets or escalate when needed with relevant insights.
Implementation Snapshot:
Rolling out the Voice AI wasn’t a long-drawn process—it was fast, collaborative, and surprisingly smooth. Here’s how it played out:
Time to Go Live: Just 3 weeks from kickoff to live calls
Languages Covered: English and Hindi (to cater to a diverse restaurant workforce)
Primary Support Channel: Phone (inbound support line)
Key Use Cases Handled:
• Login and password issues
• Billing errors or delays
• POS not syncing orders
• Basic troubleshooting steps
• Ticket creation for complex issues
Escalation Flow: Smart handover to human agents during business hours, or auto-ticket creation for morning follow-up
Training Material: Based on actual support conversations and FAQs collected over time
The Outcome:
