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CakeMeUp App: an E-commerce Solution for a Cake Shop

  1. Sprooha Athalye Department of Computer Science and Engineering, Finolex Academy of Management and Technology, Ratnagiri
  2. Gaurav Vaze Department of Computer Science and Engineering, Finolex Academy of Management and Technology, Ratnagiri
  3. Sanika Pawar Department of Computer Science and Engineering, Finolex Academy of Management and Technology, Ratnagiri
  4. Sakshi Kadam Department of Computer Science and Engineering, Finolex Academy of Management and Technology, Ratnagiri
  5. Manali Jangale Department of Computer Science and Engineering, Finolex Academy of Management and Technology, Ratnagiri

Abstract

This study introduces CakeMeUp, an innovative Flutter and Firebase-based e-commerce app for cake shop, offering sleek UI, real-time order tracking, secure payments, and cake customization. Integrating RazorPay and ikChatbot enhances functionality. It tackles e-commerce challenges, delivering a scalable platform for seamless online cake ordering. Implementation details, advantages, and key features are explored. CakeMeUp addresses common challenges faced in the e-commerce space by delivering a robust and scalable platform tailored for online cake ordering. The integration of RazorPay and ikChatbot further boosts its functionality by ensuring secure transactions and providing responsive customer support. This comprehensive approach not only sets CakeMeUp apart from competitors but also provides a scalable platform that can adapt to the evolving demands of the e-commerce industry. This study examines the implementation specifics of CakeMeUp, emphasizing its benefits and the distinctive features that differentiate it in the competitive e-commerce landscape. Utilizing the strengths of Flutter and Firebase, CakeMeUp seeks to transform the online cake shopping experience, providing a complete solution for both cake shops and their customers.

Keywords

References (10)

  1. Darji M. (2024 Mar 16). A Study of Consumer Behaviour Towards Food Ordering and Delivery Platform. [Online]. EasyChair. https://easychair.org/publications/preprint_open/cF66
  2. SCB SA, Andrew SA. Emerging trends towards online food delivery apps in India. Social Science Research Network (SSRN). 2021; 2837117: 1–10.
  3. Jadhav DS. Chatbot Based Human Interaction Model for Food Ordering System. Available at SSRN 4124914. 2022 Jun 1.
  4. Akash, Saraswati R Bhusanur. Implementation E-Commerce in Cake Shop. Int Res J Mod Eng Technol Sci. 2022; 04(07): 917–921.
  5. Udaysinh Rahul Kumar Rathod. Developing an e-commerce application using flutter. Int Res J Mod Eng Technol Sci. 2024; 06(01): 575–582.
  6. Singh J, Srivastva S, Raj D, Singh S, Rasool MJ. Flutter and Firebase Making Cross-Platform application development Hassle-Free. Int Res J Mod Eng Technol Sci. 2022; 4(4): 1819–27.
  7. Saraf PR. A Review on Firebase (Backend as A Service) for Mobile Application Development. Int J Res Appl Sci Eng Technol. 2022 Jan; 10(1): 967–71.
  8. Tashildar A, Shah N, Gala R, Giri T, Chavhan P. Application development using flutter. Int Res J Mod Eng Technol Sci. 2020 Aug; 2(8): 1262–6.
  9. Singhal N. Integration of CRM systems with payment gateway. International Journal of IT, Engineering and Applied Sciences Research (IJIEASR). 2014; 3(2): 1–5.
  10. Kony. (2019). Kony’s Chatbot Framework References. [Online]. Available from: https://docs.kony.com/marketplace/ChatbotV3/Content/Kony_Chatbot/Chatbot_Reference.htm
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