ServePro: Service Provider System

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 12 | Issue : 02 | Page : –
    By

    Trupti Gunjal,

  • Aishwarya Ghumare,

  • Sakshi Pingle,

  1. Student, Department of Computer Engineering   MET’s Institute of Engineering   Adgaon, National Highway 3, Nashik,, Maharashtra, India
  2. Student, Department of Computer Engineering   MET’s Institute of Engineering   Adgaon, National Highway 3, Nashik, Maharashtra, India
  3. Student, Department of Computer Engineering   MET’s Institute of Engineering   Adgaon, National Highway 3, Nashik, Maharashtra, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_187561’);});Edit Abstract & Keyword

ServePro: Service Provider Platform is a dynamic, web-based solution that bridges the gap between service seekers and professional vendors across a wide range of domains, including but not limited to plumbing, electrical repairs, and home maintenance. This platform is engineered to eliminate the delays and inefficiencies associated with traditional methods of hiring local services. By allowing users to post their service needs or complaints, the platform enables vendors to respond in real-time, ensuring quicker and more efficient service delivery. In addition to its core service matchmaking functionality, ServePro also includes a versatile marketplace where both users and vendors can buy, sell, donate, rent, or exchange various products. The platform is equipped with advanced modules for complaint management, task assignment, and real-
time notification updates, offering a streamlined and intuitive user experience. With a strong emphasis on security, scalability, and user-friendliness, ServePro aims to revolutionize how individuals interact with local service providers. It holds significant potential for future expansion into broader e-commerce and service-based sectors.

Keywords: Web-based Solution, Task acceptance, Complaint management, Product listing, Scalable and Secure

[This article belongs to E-Commerce for Future & Trends ]

How to cite this article:
Trupti Gunjal, Aishwarya Ghumare, Sakshi Pingle. ServePro: Service Provider System. E-Commerce for Future & Trends. 2025; 12(02):-.
How to cite this URL:
Trupti Gunjal, Aishwarya Ghumare, Sakshi Pingle. ServePro: Service Provider System. E-Commerce for Future & Trends. 2025; 12(02):-. Available from: https://journals.stmjournals.com/ecft/article=2025/view=0



document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_187561’);});Edit

References

  1. Cabrera C, Palade A, White G, Clarke S. An urban-driven service request management model. In2020 IEEE international conference on pervasive computing and communications (PerCom) 2020 Mar 23 (pp. 1-7). IEEE.
  2. Zhen Y, Khan A, Nazir S, Huiqi Z, Alharbi A, Khan S. Crowdsourcing usage, task assignment methods, and crowdsourcing platforms: a systematic literature review. Journal of Software: Evolution and Process. 2021 Aug;33(8):e2368.
  3. Ramphal RR. A complaints handling system for the hospitality industry. African Journal of Hospitality, Tourism and Leisure. 2016;5(2):1-5.
  4. Hsu F, Chen H. Secure file system services for web 2.0 applications. InProceedings of the 2009 ACM workshop on Cloud computing security 2009 Nov 13 (pp. 11-18).
  5. Yeap JA, Yapp EH, Balakrishna C. User acceptance of on-demand services. In2017 International Conference on Research and Innovation in Information Systems (ICRIIS) 2017 Jul 16 (pp. 1-6). IEEE.
  6. Huang L, Abnoosian K. A new approach for service migration in cloud‐based e‐commerce using an optimization algorithm. International Journal of Communication Systems. 2020 Sep 25;33(14):e4457.
  7. Khamaj A, Ali AM. Adapting user experience with reinforcement learning: Personalizing interfaces based on user behavior analysis in real-time. Alexandria Engineering Journal. 2024 May 1;95:164-73.
  8. Dabhade VD, Alvi AS. Review of wireless sensor network security schemes. InIntelligent Computing and Networking: Proceedings of IC-ICN 2020 2021 (pp. 41-51). Springer Singapore.
  9. Putra NH. The effect of service quality, website quality, price, and brand image on consumer satisfaction impact on consumer loyalty in OLX online stores. In4th Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2019) 2020 Mar 10 (pp. 774-781). Atlantis Press.
  10. Wen H. Development of personalized online systems for web search, recommendations, and e-commerce. Development. 2011;1:1- 2011.
Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 03/04/2025
Accepted 05/05/2025
Published 05/05/2025
Publication Time 32 Days
180

[first_name] [last_name]

My IP

PlumX Metrics