• Suroop P. Shah
• Gayatri S. Dhawas
• Onkar S. Barde
• Anushka S. Autkar
• Vivek B. Kute

In the competitive hospitality industry, efficient table management and reservation systems play a crucial role in maximizing customer satisfaction and operational profitability. This report explores the implementation of a machine learning-based table reservation system in restaurants, focusing on optimizing reservation accuracy, minimizing no-shows, and enhancing overall customer experience. The system leverages machine learning algorithms to predict peak dining times, customer preferences, and optimize table assignments in real-time, considering factors such as group size, dining duration, and seating preferences. By analyzing historical reservation data and customer behavior patterns, machine learning models can provide dynamic, intelligent recommendations to restaurant managers. These models help balance overbooking strategies to avoid unused tables while minimizing the impact of no- shows. Furthermore, the machine learning system integrates a recommendation engine that suggests optimal dining times to customers based on historical patterns, current reservation status, and user preferences, contributing to higher table occupancy rates. The system also incorporates natural language processing (NLP) for chat-bot interfaces, enabling seamless customer interactions and booking management through conversational agents. This feature enhances user experience by simplifying the reservation process, addressing customer inquiries, and managing cancellations or modifications without manual intervention. Results from case studies indicate that the adoption of a machine learning-driven reservation system reduces operational inefficiencies, improves customer satisfaction through personalized dining experiences, and increases revenue through better table utilization.

Machine Learning, Natural Language Processing (NLP), Recommendations to restaurant .

"MACHINE LEARNING IN HOTEL TABLE BOOKING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.d90-d93, February-2025, Available :http://www.jetir.org/papers/JETIR2502312.pdf

"MACHINE LEARNING IN HOTEL TABLE BOOKING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppd90-d93, February-2025, Available at : http://www.jetir.org/papers/JETIR2502312.pdf