Digital Transformation of Traditional Tea Shops Using AI-Based Web and Mobile Management System
Author
1. Dr. G. Maria Priscilla
Associate Professor and Head
PG & Research Department of Computer Science
Sri Ramakrishna College of Arts & Science
Coimbatore – 641006
mariapriscilla@srcas.ac.in
2. Amala Darciya V
PG & Research Department of Computer Science
Sri Ramakrishna College of Arts & Science
amaladarciya05@gmail.com
3. Roshni M
PG & Research Department of Computer Science
Sri Ramakrishna College of Arts & Science
jharoshni201@gmail.com
Abstract
Tea shops are also one of the busiest and commonly used small-scale businesses, especially in India and many countries in Asia. Even though there are many tea shops that serve several people every day, many of them are using manual procedures for ordering, billing, and handling the demands of the customers. These manual procedures usually cause delay, error occurrence, poor customization, and difficulty in handling customer orders, especially during busy times. By the rapid advancements in smartphone technology and the internet, people are expecting faster and more convenient services, thereby resulting in the need to modernize the tea shop. This paper aims to introduce a smarter web & mobile-based tea shop management system to transform the traditional tea shop into a digital service facility. Customers will be able to view the categorized digital menu, customize their preferences, place orders beforehand, and monitor the status of their orders in a very short time using this new system, in addition to many other features such as artificial intelligence in dealing with customer demands. From the business perspective, the system provides the tools for management in menu items, order processing, reservation handling, and customer information storage. The proposed solution improves service efficiency, reduces manual errors, and enhances customer satisfaction, at the same time providing a practical, affordable, digital platform that suits modern tea shop environments.
Keywords
Tea shop automation, Web application, Mobile application, Digital menu, Order management, AI recommendation, Voice assistant
