Enhancing the Shopping Experience in E-Commerce: A Path to Improvement – Buy the Best
DOI:
https://doi.org/10.31763/businta.v8i1.680Keywords:
e-commerce, web scarping, user-friendly platform, brand consolidationAbstract
This research paper presents the development of "Buy by Best," a user-friendly platform designed to save users' time by providing a consolidated shopping experience. The project addressed the inconvenience of visiting multiple websites and logging in to various accounts to shop for different brands. Extensive research was conducted to explore existing shopping websites, user behaviors, and industry trends. The project team analyzed multiple sites, considering brand reputation, product variety, and user experience. Based on the findings, "Buy by Best" was developed to streamline the shopping process. The platform features a centralized login where users can access products from various brands, eliminating the need for multiple website visits and logins. Technologies like the MERN stack and Python libraries like Selenium and Beautiful Soup were used for web development and web scraping of brand products. The platform offers a user-friendly interface with options to browse products by brand, apply filters, and view product details. Users can place orders seamlessly and be redirected to the brand's official website. Future work includes developing a mobile application, enhancing the user interface, expanding the range of brands, and integrating other platforms. In conclusion, "Buy by Best" offers users a convenient and time-saving solution by consolidating products from various brands into a single platform. The project successfully achieves its objective through web scraping, user authentication, and intuitive interfaces.
References
S. Suherlan and M. O. Okombo, “Technological Innovation in Marketing and its Effect on Consumer Behaviour,” Technol. Soc. Perspect., vol. 1, no. 2, pp. 94–103, Oct. 2023, doi: 10.61100/tacit.v1i2.57.
S. Store, “Pakistani Designer Best Sellers Dresses,” Best Selling Women Suits. [Online]. Available at: https://www.sanaullastore.com/best-sellers?dir=desc&limit=48&order=position&p=1&gclid.
“Online Shopping in Pakistan: Fashion, Electronics & Groceries,” Daraz.pk. [Online]. Available at: https://www.daraz.pk/#hp-categories.
N. Sharma, A. Kumar, A. Sharma, A. Verma, and N. R. Srivastava, “E-Commerce Website Using MERN Stack,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 10, no. 5, pp. 2419–2421, May 2022, doi: 10.22214/ijraset.2022.42808.
H. Khatter, Dravid, A. Sharma, and A. K. Kushwaha, “Web Scraping based Product Comparison Model for E-Commerce Websites,” in 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Jul. 2022, pp. 1–6, doi: 10.1109/ICDSIS55133.2022.9915892.
A. A. Zaveri et al., “Shopick – Shop for Ease,” J. Indep. Stud. Res. Comput., vol. 19, no. 1, pp. 12–22, 2021, doi: 10.31645/JISRC.25.19.1.7.
R. D. Chowdhury, A. Sarkar, M. Banik, and P. R. Bobbili, “Product Attribute Extraction and Product Listing Analysis from E-commerce Websites,” Prod. Attrib. Extr. Prod. List. Anal. from E-commerce Websites Fig., no. June, p. 15, 2023. [Online]. Available at: https://www.researchgate.net/publication/371348902_Product_Attribute_Extraction_and_Product_Listing_Analysis_from_E-commerce_Websites.
S. K and S. Prabhu, “Influence of Consumer Decisions by Recommendar system in fashion e-commerce website,” in 2022 International Conference on Decision Aid Sciences and Applications (DASA), Mar. 2022, pp. 421–424, doi: 10.1109/DASA54658.2022.9765312.
P. Sanap, S. Shinde, A. Mahajan, R. Vishe, and A. Gawande, “Price Comparison Website Using Object Recognition,” Int. J. Eng. Appl. Sci. Technol., vol. 6, no. 11, pp. 238–241, Mar. 2022, doi: 10.33564/IJEAST.2022.v06i11.045.
S. Agnihotri et al., “Shopping E-Commerce Using Object,” J. Emerg. Technol. Innov. Res., vol. 8, no. 5, pp. 510–513, 2021, [Online]. Available at: https://www.jetir.org/view?paper=JETIR2105456.
P. D. Sree, M. R. Kokkiligadda, J. Teja, and Y. Sandeep, “Product Negotiation in E-Commerce Website using Chatbot,” in 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Feb. 2023, pp. 879–883, doi: 10.1109/ICCMC56507.2023.10083745.
P. Nagaraj, V. Muneeswaran, A. V. S. R. Pavan Naidu, N. Shanmukh, P. V. Kumar, and G. S. Satyanarayana, “Automated E-Commerce Price Comparison Website using PHP, XAMPP, MongoDB, Django, and Web Scrapping,” in 2023 International Conference on Computer Communication and Informatics (ICCCI), Jan. 2023, pp. 1–6, doi: 10.1109/ICCCI56745.2023.10128573.
V. Srividhya and P. Megala, “Scraping and Visualization of Product Data from E-commerce Websites,” Int. J. Comput. Sci. Eng., vol. 7, no. 5, pp. 1403–1407, May 2019, doi: 10.26438/ijcse/v7i5.14031407.
Khirana Dwicahyo and Chanifah Indah Ratnasari, “Comparative Analysis of E-Commerce Sales of Halal-Labeled Products in Muslim Majority and Minority Countries,” Int. J. Soc. Sci. Relig., vol. 4, no. 3, pp. 461–476, Oct. 2023, doi: 10.53639/ijssr.v4i3.198.
O. C. Resmi Rachmawati, Deyana Kusuma Wardani, Wifda Muna Fatihia, Arna Fariza, and Hestiasari Rante, “Implementing Agile Scrum Methodology in The Development of SICITRA Mobile Application,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 7, no. 1, pp. 41–50, Feb. 2023, doi: 10.29207/resti.v7i1.4688.
D. Hindarto, “The Role of E-Commerce in Increasing Sales Using Unified Modeling Language,” Int. J. Softw. Eng. Comput. Sci., vol. 3, no. 2, pp. 120–129, Aug. 2023, doi: 10.35870/ijsecs.v3i2.1503.
I. Arawjo, P. Vaithilingam, M. Wattenberg, and E. Glassman, “ChainForge: An open-source visual programming environment for prompt engineering,” in Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, Oct. 2023, pp. 1–3, doi: 10.1145/3586182.3616660.
A. Brenning and S. Henn, “Web scraping: a promising tool for geographic data acquisition,” Geogr. Web scraping, p. 18, 2023, [Online]. Available at: http://arxiv.org/abs/2305.19893.
S. Patni, “Fundamentals of RESTful APIs,” in Pro RESTful APIs with Micronaut, Berkeley, CA: Apress, 2023, pp. 1–15. [Online]. Available at: 10.1007/978-1-4842-9200-6_1.
M. M. Ishaq, P. Singh, S. Badjatya, S. Kumar, Y. Tomar, and S. Bansal, “Design and Development of a User-Friendly Social Media App using the MERN Stack,” in 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), Aug. 2023, pp. 1730–1736, doi: 10.1109/ICCPCT58313.2023.10245371.
A. F. Nugraha, H. Kabetta, I. K. S. Buana, and R. B. Hadiprakoso, “Performance and Security Comparison of Json Web Tokens (JWT) and Platform Agnostic Security Tokens (PASETO) on RESTful APIs,” in 2023 IEEE International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs), Aug. 2023, pp. 15–22, doi: 10.1109/ICoCICs58778.2023.10277377.
A. A. Zaveri et al., “Easy-Mart: Self checkout System for Supermarkets,” J. Indep. Stud. Res. Comput., vol. 20, no. 1, pp. 8–21, Jun. 2022, doi: 10.31645/JISRC.22.20.1.2.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Sarama Sarama Shehmir, Mobeen Nazar, Ayesha Anees Zaveri, Naveera Sami , Ramsha Mashood, Nabiha Faisal , Abdul Waqas, Rimsha Naeem
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
