International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
Bakery Application Mr. Mainuddin M. Shaikh1, Mr. Krushna V. Kumbhar2, Mr. Bhirudev D. Bandgar3 Prof. Indrajeet Y. Inamdar4 , Prof. Sachin D. Pandhare5 1Student, SMSMPITR, Akluj, Maharashtra - 413118
2 Student, SMSMPITR, Akluj, Maharashtra - 413118 3Student, SMSMPITR, Akluj, Maharashtra - 413118
4 Professor, Dept. of Computer Science & Engineering, SMSMPITR Akluj, Maharashtra - 413118 5Professor, Dept. of Computer Science & Engineering, SMSMPITR Akluj, Maharashtra - 413118
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - A user-friendly solution, Bakery Application is which is sold online, and use natural language processing made to improve customer engagement, expedite bakery that automatically read reviews and to determine the processes, and make the best use of available resources. It polarity of reviews and used Naive Bayesian classification. provides a user-friendly interface that is accessible on Rana Alaa El-Deen Ahmeda et al.[2] included mobile and web platforms, enabling smooth eleven data mining classification techniques to find the communication between consumers, employees, and best classifier for consumer online shopping attitudes and bakery owners. Staff scheduling, inventory control, and also to build a recommender system using decision table integrated online ordering and payment systems are some classifier to find the products that user is searching for in of the key features. In order to offer insights into client some websites. preferences, sales trends, and operational effectiveness, the application also integrates analytics tools. Bakeries may Noorfa H. Mustaffa et al.[3]build a system using maximize their product options, pricing plans, and rational unified process for bakery shop that provide the marketing efforts to boost sales and profitability by Short Message Service to notify customer when the order utilizing data-driven decision-making. With its scalability is ready for delivered and give flexibility in delivery and customization capabilities, Bakery Application serves options to the customer. bakeries of all sizes and specializations. [4]The computerized bakery system aims to sell bakery items online, transforming the traditional shopping experience into a food service chain. This system eliminates the need for customers to visit the bakery or shop, saving time and ensuring availability. Customers can order items online, receive home delivery, and pay through credit/debit/net banking or cash on delivery, ensuring a seamless online experience for customers.
Key Words: Android studio, Products, Services, Bakery Management, Food Safety, Online Ordering. 1. INTRODUCTION The bakery mobile application is a strategic move to meet evolving consumer demands in the fast-paced world. It aims to bridge the gap between traditional bakeries and the digital realm, offering a seamless platform for customers to explore, order, and enjoy a wide array of bakery products. The application prioritizes simplicity and accessibility, with advanced functionalities like real-time order tracking, secure payment gateways, and personalized recommendations. The application also provides tools for bakery owners to manage their businesses more efficiently, including inventory management, order fulfillment, customer relationship management, and marketing initiatives. The bakery mobile application represents a significant step forward in the digital transformation of the bakery industry, offering convenience, efficiency, and personalization to both customers and owners.
[5] This paper presents an e-commerce bakery shop system that uses data mining to manage daily online buying and selling activities. It includes an Android app for customers to purchase products, receive suggestions, and receive notifications/bills. The system also predicts fast and slow-moving products based on day and area, and calculates sales based on season/period. The system also tabulates monthly and yearly sales.
1.1 Literature Survey Venkata Rajeev P et al.[1]proposed a web base system for recommending and comparing products
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