OmniDimension LANCER
(Development)Project Description
The client specializes in creating innovative solutions for the restaurant industry, focusing on improving operational efficiency through automation. They approached Oodles to develop a system that automates order-taking over phone calls, eliminating the need for human interaction while maintaining a human-like experience using Large Language Models (LLM). The system enhances speed and convenience for restaurants.
Scope Of Work
The client, focused on automating restaurant operations, needed a system that would handle order-taking via phone calls without human interaction while providing a natural, human-like experience. They required a solution that could automate order processing, calculate the total bill, send payment links, and finalize orders in one seamless call. To meet these goals, Oodles integrated Twilio for voice communication, utilized Langchain with ChatGPT for menu handling, fine-tuned the LLM for personalized responses, improved latency, implemented Google Speech-to-Text for accurate voice recognition, and integrated Stripe for secure payment processing. This solution streamlined the ordering process, offering speed and convenience for both restaurants and customers.
Our Solution
Our solution for this project encompassed the following services and technologies:
- Voice Integration: Integrated Twilio to handle voice communication, enabling customers to place orders through phone calls efficiently.
- LLM-Powered Responses: Used Langchain with ChatGPT to create a conversational system, providing human-like responses for menu options and order management.
- Speech Recognition: Implemented Google Speech-to-Text to accurately convert spoken queries into text, ensuring seamless communication.
- Payment Processing: Integrated Stripe to handle payments securely, sending customers payment links via phone for quick transactions.
- System Optimization: Improved system performance through content chunking and prompt engineering, achieving a response time of about 2 seconds.
- Impact: Streamlined restaurant operations, reducing human intervention and improving order-taking speed and accuracy, leading to increased customer satisfaction.