REVOLUTIONISING SALES AND OPERATIONS PLANNING WITH ARTIFICIAL INTELLIGENCE: INSIGHTS AND RESULTS
Keywords:
Sales and Operations Planning (S&OP), Artificial Intelligence (AI), Predictive Analytics, Supply Chain Management, Forecast AccuracyAbstract
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 organisation 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 organisational 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 point the way towards bringing out the best of AI for successful S&OP modernisation.

