Enhancing Supply Chain Efficiency in Cattle Feed Enterprises: A Multi-Platform Dashboard Approach

Authors

  • Harshad Dewarde, Vaishnavi Ghodake, Pratiksha Pol, Asmita Aldar, Mr. Atul Kalukhe Department of computer science and engineering, Sanjay Ghodawat Institute, Atigre, Kolhapur 416118 Author

DOI:

https://doi.org/10.70849/IJSCI

Keywords:

Smart Cattle Feed Management, Supply Chain Automation, Cloud-Based System, SMEs, Real-Time Data Visualization, Agile Methodology, Supabase, React.js, Flutter, Inventory Tracking.

Abstract

This paper presents the design, implementation, and evaluation of a Smart Cattle Feed Supply Chain Management System, a cost-effective and scalable solution developed to address critical inefficiencies in small and medium-sized cattle feed enterprises (SMEs). The primary challenge lies in the reliance on manual processes (phone calls, registers, and spreadsheets) for order, production, and distribution management, leading to significant delays, data inaccuracies, and poor performance tracking. While Enterprise Resource Planning (ERP) systems exist, their high cost and complexity render them impractical for resource-constrained SMEs. The proposed system bridges this gap by offering a centralized, cloud-based platform accessible via both Web (React.js) and Mobile (Flutter) applications. Employing the Agile methodology and leveraging a real-time database (Supabase), the system features role-based dashboards for employees, marketing managers, production mana gers, and owners. The implementation successfully automates order flow and inventory tracking, provides real-time data visualization, and reduces the time required for final reporting from several days to instant access, significantly enhancing operational transparency and efficiency across the supply chain.
 

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Published

16-10-2025

How to Cite

[1]
Harshad Dewarde, Vaishnavi Ghodake, Pratiksha Pol, Asmita Aldar, Mr. Atul Kalukhe, “Enhancing Supply Chain Efficiency in Cattle Feed Enterprises: A Multi-Platform Dashboard Approach”, Int. J. Sci. Inno. Eng., vol. 2, no. 10, pp. 760–769, Oct. 2025, doi: 10.70849/IJSCI.