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Livestock and Roasting Order Management System with Data Analytics

Journal: International Journal of Sciences and Applied Information Technology (IJSAIT) (Vol.15, No. 1)

Publication Date:

Authors : ;

Page : 17-22

Keywords : ;

Source : Download Find it from : Google Scholarexternal

Abstract

The livestock industry remains an essential contributor to agricultural productivity and rural livelihoods. However, small and medium enterprises (SMEs) in this sector often face inefficiencies caused by manual processes in inventory management, order tracking, and payment recording. This study presents the Livestock and Roasting Order Management System with Data Analytics, a mobile-based platform designed to automate operational processes and enhance decision-making through predictive insights. The system integrates modules for order placement, inventory tracking, delivery coordination, and payment management. Data analytics tools generate business insights, such as sales trends and payment performance. The prototype was developed using Android Studio and Firebase, tested for functionality, and evaluated by local business owners and IT experts. Results indicate that automation significantly reduces processing time and improves data accuracy, improving order tracking by 40%. This study concludes that implementing data-driven systems in livestock operations can enhance transparency, operational efficiency, and business intelligence.

Last modified: 2026-02-22 17:54:18