ServePro: Service Provider System

Year : 2025 | Volume : 12 | Issue : 02 | Page : 16 21
    By

    Trupti Gunjal,

  • Aishwarya Ghumare,

  • Sakshi Pingle,

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

Abstract

ServePro: Service Provider System 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, scalability, security

[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):16-21.
How to cite this URL:
Trupti Gunjal, Aishwarya Ghumare, Sakshi Pingle. ServePro: Service Provider System. E-Commerce for Future & Trends. 2025; 12(02):16-21. Available from: https://journals.stmjournals.com/ecft/article=2025/view=209521


References

  1. Zhen Y, Khan A, Nazir S, Huiqi Z, Alharbi A, Khan S. Crowdsourcing usage, task assignment methods, and crowdsourcing platforms: a systematic literature review. J Softw Evol Process. 2021; 33 (8): e2368.
  2. Ramphal RR. A complaints handling system for the hospitality industry. African J Hosp Tourism Leisure. 2016; 5 (2): 1–5.
  3. Hsu F, Chen H. Secure file system services for web 2.0 applications. In: Proceedings of the 2009 ACM Workshop on Cloud Computing Security, Chicago, IL, USA, November 13, 2009. pp. 11–18.
  4. Khamaj A, Ali AM. Adapting user experience with reinforcement learning: personalizing interfaces based on user behavior analysis in real-time. Alexandria Eng J. 2024; 95: 164–173.
  5. Cabrera C, Palade A, White G, Clarke S. An urban-driven service request management model. In: 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom), Austin, TX, USA, March 23–27, 2020. pp. 1–7.
  6. Yeap JAL, Yapp EHT, Balakrishna C. User acceptance of on-demand services. In: 2017 International Conference on Research and Innovation in Information Systems (ICRIIS), Langkawi, Malaysia, July 16–17, 2017. pp. 1–6.
  7. Huang L, Abnoosian K. A new approach for service migration in cloud‐based e‐commerce using an optimization algorithm. Int J Commun Syst. 2020; 33 (14): e4457.
  8. Dabhade VD, Alvi AS. Review of wireless sensor network security schemes. In: Balas VE, Semwal VB, Khandare A, Patil M, editors. Intelligent Computing and Networking: Proceedings of IC-ICN 2020. Singapore: Springer; 2021. pp. 41–51.
  9. Putra NH, Idris. The effect of service quality, website quality, price, and brand image on consumer satisfaction impact on consumer loyalty in OLX online stores. In: 4th Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2019). Dordrecht, Netherlands: Atlantis Press; 2020. pp. 774–781.
  10. Wen H. Development of Personalized Online Systems for Web Search, Recommendations, and E-Commerce. Doctoral Thesis. Toronto, Ontario, Canada: Ryerson University; 2011.
Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 03/03/2025
Accepted 05/05/2025
Published 16/05/2025
Publication Time 74 Days
210

Login


My IP

PlumX Metrics