Muhammad Supriyadi, Yan Rianto

Revolutionizing Corporate Event Planning with AI: A Cost-Efficiency Strategy for BuatEvent.id

Introduction

Revolutionizing corporate event planning with ai: a cost-efficiency strategy for buatevent.id. BuatEvent.id revolutionizes corporate event planning with AI (Gemini.ai), boosting efficiency by 25% and cutting costs. Automates workflows for workshops, product launches, and meetings.

Abstract

BuatEvent.id leverages an AI-driven platform for event planning, powered by Gemini.ai—a sophisticated NLP model with an accuracy rate of 92.5%. The system integrates multiple technologies, including PHP, Python, Golang, Flutter, and MySQL, to automate essential processes, achieving a 25% improvement in planning precision. This study aims to evaluate the role of AI in enhancing budget management and corporate event customization. By addressing the inefficiencies of conventional event planning, this platform optimizes workflows, enhances overall productivity, and offers a seamless user experience customized to cater to a wide range of client requirements. The results demonstrate a 92.5% accuracy in processing user queries and a 25% increase in event planning efficiency, highlighting the platform’s ability to deliver cost-effective and personalized solutions. These figures were obtained through internal testing using a dataset of 200 annotated user queries. The platform primarily targets corporate events, including workshops, product launches, and business meetings.For example, the system was successfully deployed during a corporate training event in Jakarta, where it reduced planning time by 30%.

Review

This paper presents an intriguing and timely exploration into the application of AI, specifically through BuatEvent.id's Gemini.ai-powered platform, for revolutionizing corporate event planning. The core objective of enhancing budget management and customization through improved efficiency is highly relevant in today's competitive landscape. The reported preliminary results, including a 92.5% accuracy in processing user queries, a 25% increase in event planning efficiency, and a 30% reduction in planning time for a specific event, are promising and suggest significant potential for the platform's impact on conventional event planning methodologies. The use of a multi-technology stack (PHP, Python, Golang, Flutter, MySQL) also indicates a robust and modern architectural approach to the system's development. While the abstract highlights compelling advantages, it also raises several methodological questions that would require further elaboration in the full paper. The claim of a "25% improvement in planning precision" needs a clearer definition of what constitutes "planning precision" and how this metric was quantitatively measured. Similarly, the "92.5% accuracy rate of Gemini.ai" and "92.5% accuracy in processing user queries" appear to be conflated or require distinct clarification on their relationship and measurement. Relying on "internal testing using a dataset of 200 annotated user queries" for such significant claims raises concerns about the generalizability and robustness of the results; a larger, more diverse, and potentially externally validated dataset would strengthen these findings significantly. Furthermore, a comparative analysis against non-AI or alternative AI-driven event planning solutions would provide valuable context for the platform's claimed efficiencies and cost-effectiveness. To strengthen the overall contribution, the full paper should meticulously detail the methodology behind measuring "cost-efficiency" and "planning precision," moving beyond mere time reduction to quantifiable financial benefits. It would be beneficial to outline the specific AI functionalities beyond NLP (e.g., predictive analytics for budgeting, recommendation systems for vendors) that contribute to customization and efficiency. Exploring the limitations of the current system, potential biases in AI recommendations, and ethical considerations (e.g., data privacy for client requirements) would also add depth and credibility. Finally, expanding on how the platform's success can be generalized beyond BuatEvent.id to the broader event management industry, perhaps with a clear framework or case studies, would elevate its academic impact.

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