International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Revolutionizing Sales and Operations Planning with Artificial Intelligence: Insights and Results

Author(s) Luis Polo
Country United States
Abstract The use of Artificial Intelligence (AI) in the Sales an Operations Planning (S&OP) is an innovation in supply chain management. Extended traditional S&OP processes that involve static data, manual flow, and dispersed systems do not fit the needs of constantly evolving markets. In this paper, we consider some opportunities of AI in S&OP development and discuss the most significant changes ones, including predictive analytics, machine learning, and automation. The work being done by the research implies a case-based approach, using real-world situations in order to illustrate substantial gains in forecast precision, procedural organization and control, expenditure and financial leakage mitigation, as well as customer satisfaction. The capacity of AI that can offer to enhance decision-making and provide flexibility makes its position crucial in today’s SCMS. However, barriers including resistance from the organizational culture and employee skill deficiencies hold the key in preventing this from occurring. According to the recommendations drawn in this paper, the phases and training programmes shown in Figure 4 point the way towards bringing out the best of AI for successful S&OP modernisation.
Keywords Sales and Operations Planning (S&OP), Artificial Intelligence (AI), Predictive Analytics, Supply Chain Management, Forecast Accuracy
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-29
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.34053
Short DOI https://doi.org/g8xgpq
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E-ISSN 2582-2160
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