- Category:
AI, FoodTech, Mobile App
- Software:
Flutter, OpenAI Whisper, Firebase
- Service:
App Development
- Client:
Chottay
- Date:
January 25, 2024
Chottay: Revolutionizing Small Restaurants with AI Order Taking
Chottay is an innovative platform designed to level the playing field for small, family-owned restaurants (“dhabas” and cafes). It leverages Voice AI to automate the order-taking process, allowing owners to focus on cooking while technology handles the customers.
Empowering Local Business
Small eateries often lose 20% of orders during rush hour due to missed calls or overwhelmed staff. Chottay acts as an always-on digital waiter, ensuring every customer is heard and served.
Challenge & Solution
The Challenge: Small restaurant owners operate on thin margins with limited staff. During peak lunch and dinner hours, the phone rings off the hook, and walk-in customers wait impatiently. Hiring dedicated staff just for taking orders is too expensive. Additionally, language barriers and background noise often lead to incorrect orders and food waste.
The Solution: We developed Chottay, a Voice-First order management system.
Multilingual Voice Bot
We integrated a speech-to-text engine capable of understanding local dialects and accents. The AI listens to the customer’s order (via phone or kiosk), confirms items, and sends a printed ticket to the kitchen instantly.
Impact:
- 98% order accuracy rate
- Handles multiple simultaneous calls
- Supports English, Urdu, and Hindi
Final Result
Chottay has become a lifeline for over 50 partner restaurants, driving revenue growth and modernizing the “mom and pop” dining sector.
50K Orders Processed
The AI successfully handled over 50,000 orders, proving its reliability and capacity to manage high-volume operations.
30% Time Savings
Restaurant owners reported saving up to 30% of their time, which was previously spent on taking orders manually.
15K Happy Customers
The system served over 15,000 customers with high accuracy, leading to increased satisfaction and repeat business.
This project demonstrates how high-end AI technology can be scaled down to solve everyday problems for small businesses.
