AN APPROACH TO AUTOMATING RESTAURANT ORDERS USING IT TECHNOLOGIES

Abstract

The objective of the study is to enhance the efficiency of customer service and optimize workflow in the restaurant business by developing an automated system for order acceptance and processing through a Telegram bot. The study presents an innovative approach that combines the use of modern language models based on the Transformer architecture with the functionality of a messenger bot to create an interactive and personalized service. Methodology. To achieve the goal, an analysis of existing approaches to process automation in the restaurant industry was conducted. Based on the collected data, a Telegram bot was developed for order acceptance, which integrates with the Llama 3.1 Instruct 8B language model. A manager program was created for order processing, interacting with a PostgreSQL database. The study also examined the effectiveness of the proposed solution in real-world conditions by testing the system for the correctness of its core functions, such as order placement and table reservation. Scientific novelty. The use of a Telegram bot combined with modern language models enables the processing of unstructured queries, which is not feasible with traditional POS systems. A distinctive feature of the approach is the integration of personalized service that considers the individual needs of customers, as well as the absence of the need for expensive equipment or extensive staff training. The system offers flexibility and accessibility, reducing implementation and maintenance costs. Conclusions. The research findings confirmed the effectiveness of the developed system. The Telegram bot consistently performs essential functions, ensuring the accuracy and speed of order processing while supporting interactive customer interaction. Integration with the language model significantly enhanced the level of service personalization, positively impacting the customer experience. The system easily integrates with existing software solutions, making it accessible to a wide range of establishments. Thus, the proposed solution contributes to the optimization of internal processes in the restaurant business, setting new standards for automation and customer service.