Event Nest: An AI-Powered Cloud-Based Unified Event Management Platform with Real-Time Vendor Coordination

Abstract

The organization of big social and community events involves a variety vendors, schedules to keep track off, budgets to stay under control and dependability of service deliverance. Traditional event planning solutions—such as conventional platform based and manual coordination type systems—suffer from fragmented vendor information, a lack of real-time verification of availability, ineffective budget tracking, or inadequate intelligence in decision support. Such constraints often result in scheduling conflicts, budget overruns and additional coordination overhead for users as well as service providers. To tackle these, here in this paper we propose Event Nest – an AI-driven cloud-based unified event platform that aims to automate and ease 360 degree event planning and vendor management.

The envisioned system is able for discovering vendor by using intelligence, real-time validating availability, centralized monitoring budget and secure-cloud based booking system with payment mode in a scalable architecture. Nearly Global's use of AI-enabled content based recommendation and weighted ranking algorithm makes recommendations for valid sellers with reference to service category, budget constraints, and availability, location as well as user ratings. A real-time data management system prevents double booking and scheduling conflict, while constraint-based budget consolidation enables ongoing financial analysis and control. Real-time data sync, secure storage and coordinated activity between users and suppliers are made possible by cloud based infrastructure.

Experimental verification under simulated setting shows the proposed system can achieve 86.4% vendor selection accuracy, a reduced budget deviation of 5.3%, and much higher booking reliability when compared to counterpart methods in practice. The results obtained conclude that the use of intelligent decision support into cloud-based coordination improves the efficiency, transparency and reliability on contemporary event planning applications.