2025_EML Capstone Projects
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required in RFID infrastructure (Sundaresan et al., 2015). AI-driven predictive analytics also shows high feasibility, drawing from available data analytics tools, although it may require significant data integration efforts. Financial feasibility evaluates the costs associated with each solution against the available budget and financial resources. Manual inventory management is a low-cost option and is likely within budget, but it offers limited future scalability. An automated inventory management system requires a moderate initial investment with ongoing expenses. Still, it has the potential to yield a return on investment (ROI) through labor savings and reduced errors (Thusini et al., 2022). Cloud-based inventory management systems offer moderate implementation costs, and their subscription model can accommodate various budgets with predictable expenses. Conversely, RFID technology requires a high initial investment in tags and readers, although it can lead to long-term cost savings through increased efficiency and reduced stock discrepancies (Sundaresan et al., 2015). AI-driven predictive analytics may involve high costs for development and implementation, necessitating significant investment in data gathering, but it could yield high ROI if executed correctly. Lastly, operational feasibility assesses whether the proposed solution can be implemented within the current organizational structure and workflows. Manual inventory management has the highest operational feasibility, as staff are familiar with the processes, and implementation changes are minimal. An automated inventory management system has moderate feasibility, requiring training and adjustments, but aligning with existing methods. Cloud-based inventory management systems also have high feasibility due to their flexibility and ease of implementation. At the same time, RFID technology presents a medium level of feasibility, requiring adjustments to operational workflows and staff training (Sundaresan et al., 2015). AI-
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