Abstract:

Abstract: This research focuses on the extension of AI with SAP Integrated Business Planning (IBP) to address real-time risks in the pharmaceutical supply chain. The literature in the context of the research identifies how the use of these technologies can enhance forecasting, and decision-making as well as ensure business resilience against disruptive factors. Hence, an explanatory research design is adopted where quantitative data from statistics, analysing graphs and qualitative data from case analysis and journals are collected as secondary data. The findings mainly highlight AI and SAP IBP increase the flexibility of the supply chain, inclusive of cost reduction, in addition to giving precise forecasts on risk assessment. There are some challenges encountered including data consolidation, high costs at the early stages and the issue of scale. It is recommended that there should be an emphasis on training the workforce on the adoption of such innovations, step-by-step implementation, and strict data security measures that may support better risk management strategies in the pharmaceutical industry.

Description:

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