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AI-Powered Meeting Booking and Contact Management System

amela.tech

Information technology

Business services

Telecommunications

Current Meeting Booking Inefficiencies

Manual scheduling processes lead to frequent conflicts, wasted time, and poor contact management, resulting in reduced productivity and missed business opportunities.

About the Client

A technology company specializing in AI-driven solutions for business efficiency

Key Project Goals

Develop an AI-driven automated meeting booking system
Implement intelligent contact management with relationship mapping
Integrate with existing calendar and CRM platforms
Reduce scheduling conflicts by 90%

Core System Requirements

Automated time-slot optimization using machine learning
Natural language processing for meeting request interpretation
Dynamic contact prioritization based on interaction history
Multi-calendar synchronization (Google, Outlook, Apple)
Smart reminder system with predictive rescheduling

Technology Stack

Python

TensorFlow

React

Node.js

AWS Lambda

System Integrations

Google Calendar API
Microsoft Graph API
Salesforce CRM
Zoom API

Performance Criteria

99.99% uptime SLA
Sub-500ms response time
Enterprise-grade encryption
Horizontal scalability

Expected Business Impact

Projected 40% reduction in administrative scheduling time, 60% decrease in meeting conflicts, and 25% increase in sales team productivity through improved contact prioritization and automated follow-up workflows.