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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62540

DairyVision: A Reproducible Full-Stack Method for Dairy Subscription, Delivery, and Billing Automation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62540

Volume:

10 |

5 |

May 2026

Pages:

1-13

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62540

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SPS

Swapnil Prakash Sawant

Department of Computer Enginneering

TSSM BSCOER

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VK

Vedant Kawale

Department of Computer Enginneering

TSSM BSCOER

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AK

Abhijeet Kad

Department of Computer Enginneering

TSSM BSCOER

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PR

Pratik Rajgirwad

Department of Computer Enginneering

TSSM BSCOER

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Mentors

DMNJ

Dr. M. N. Jadhav

Department of Computer Enginneering

TSSM BSCOER

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Abstract

This method presents a reproducible full-stack implementation to automate and integrate three core operational processes of small and medium-scale dairy businesses: customer subscription management, real-time milk delivery tracking, and automated monthly billing. The method is implemented using a full-stack web architecture comprising React.js (frontend), Node.js/Express.js (backend), and Supabase (cloud PostgreSQL database) with JWT-based role-level access control for administrators, customers, and delivery personnel. The modular architecture and deployment workflow enable replication or adaptation across similar subscription-based agricultural or logistics systems Key methodological highlights: • A modular three-tier web architecture supporting role-based access for administrators, customers, and delivery personnel. • An automated billing engine that accurately aggregates delivery records and generates auditable monthly invoices, eliminating manual calculation errors. • A real-time delivery tracking mechanism that propagates status updates to all stakeholders within sub-second latency.

KEYWORDS

Dairy management system ; Subscription automation; Automated billing; Real-time delivery tracking; Role-based authentication Supabase; PostgreSQL; Full-stack web method

Cite This Article

Swapnil Prakash Sawant, Vedant Kawale, Abhijeet Kad, Pratik Rajgirwad, Dr. M. N. Jadhav, "DairyVision: A Reproducible Full-Stack Method for Dairy Subscription, Delivery, and Billing Automation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-13, May 2026. https://doi.org/10.55041/IJSREM62540

Full Article/Conclusion

Offline functionality: The method requires continuous internet connectivity. Environments with unreliable network access will experience degraded or unavailable real-time synchronization. •  Payment gateway integration: The current implementation does not include online payment processing. Invoice generation is supported but payment collection remains outside the system scope. •  Mobile-native experience: The interface is web-responsive but not a native mobile application. Delivery partners in low-connectivity field conditions may benefit from a dedicated native app with offline-first sync. •  Single-instance deployment: Performance validation was conducted on a single Supabase project instance. Large-scale deployments may require additional load balancing and caching strategies. •  Predictive analytics and demand forecasting were outside the current methodological scope. Historical data is stored but not exploited for predictive analytics, representing an opportunity for future extension. •  Validation was conducted within a limited deployment environment; broader geographic and operational scalability requires further investigation.

References

[1] W. Yadeta, T. Hunde, and D. Regassa, "Dairy Farm Record Keeping with Emphasis on its Importance, Methods, Types, and Status in Some Countries," International Journal of Research Studies in Biosciences, vol. 8, no. 4, pp. 15-22, 2020. [2] P. D. Patel, R. R. Patel, and M. K. Patel, "Healthcare Management Practices Followed by Dairy Farmers of Aravalli District of North Gujarat," International Journal of Current Microbiology and Applied Sciences, vol. 7, no. 11, pp. 1234-1240, 2018. [3] International Dairy Federation, "World Dairy Situation Report 2019," IDF Publication, Brussels, Belgium, 2019. [4] B. V. C. Bharathi, C. S. Kumar, and M. Yuvaraj, "Dairy Farm Management using the MERN Full Stack," International Journal of Research Publication and Reviews, vol. 6, no. 5, pp. 3412-3418, 2025. [5] S. Hoque, Full Stack Development with MERN. Birmingham, UK: Packt Publishing, 2020. [6] M. Casciaro and L. Mammino, Node.js Design Patterns, 3rd ed. Birmingham, UK: Packt Publishing, 2021. [7] J. Mathew, R. Nair, and S. Krishnan, "Performance Analysis of Cloud-Based PostgreSQL for Subscription-Driven Web Services," IEEE Access, vol. 10, pp. 45823-45835, 2022, doi: 10.1109/ACCESS.2022.3174591. [8] H. Kim and J. Park, "Comparative Security Analysis of JWT and Session-Based Authentication in Multi-Role Web Applications," in Proc. IEEE Int. Conf. on Computer and Information Technology (CIT), Sydney, Australia, 2021, pp. 112-119. [9] J. Brooke, "SUS: A Quick and Dirty Usability Scale," in Usability Evaluation in Industry, P. W. Jordan et al., Eds. London, UK: Taylor and Francis, 1996, pp. 189-194. [10] Supabase, Inc., "Supabase Documentation: Real-time Subscriptions," [Online]. Available: https://supabase.com/docs/guides/realtime. [Accessed: Apr. 2025].

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Publication Date

5/5/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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