ConveDesk Core - Open Conversational Booking Engine

Problem Statements

Small and medium businesses in India receive the majority of their customer inquiries through conversational platforms such as WhatsApp, Instagram DMs, and Email. However, due to delayed responses, lack of structured follow-ups, and absence of integrated booking and payment workflows, businesses lose a significant percentage of potential customers before conversion.

Most existing CRM tools are not designed to handle conversational lead intake in real time, resulting in missed opportunities and manual intervention requirements.

Proposed Solution

ConveDesk Core is an open-source conversational booking engine designed to help small businesses automatically convert customer inquiries into confirmed service bookings.

The system uses locally deployed AI models to:

• Understand incoming user queries

• Collect required booking details

• Check service availability

• Confirm appointment slots

• Generate payment requests

All core functionalities operate without reliance on proprietary APIs or closed-source software.

Key Features

• Self-hostable conversational AI interface

• Configurable service definitions

• Mock UPI payment request generation

• SQLite-based booking storage

• Slot availability management

• Local intent detection

• Automated booking workflow

Intended Users

• Coaching institutes

• Clinics

• Gyms

• Freelancers

• Service providers

• Local businesses

Technology Stack

• React (Vite)

• TailwindCSS

• FastAPI (Python)

• Uvicorn (ASGI Server)

• Pydantic (Data Validation)

• Ollama (Local Model Inference)

• Mistral / LLaMA (Open Source LLM)

Impact

ConveDesk Core enables small businesses to deploy conversational booking automation using open-source infrastructure, improving response time, reducing manual workload, and increasing conversion efficiency.

FOSS Compliance

All core functionalities of ConveDesk Core are implemented using open-source software components and locally hosted AI models. The system does not depend on proprietary APIs for conversational processing, booking logic, or payment simulation.