Abstract
Demand forecasting is imperative in industries like shipping and furniture, where structured supply chain management is required to ensure optimized inventory and customer satisfaction. This paper looks into developing AI-powered demand forecasting models with .NET for the shipping and furniture industries. This paper also delves deeper into how machine learning can be used to accurately and effectively predict future demand trends. This paper will discuss several processes, such as data collection and evaluation of machine learning models that can be used in forecasting future trends. This paper will examine how this AI-powered model will be integrated with .NET frameworks to ensure optimization. Case studies will be discussed to highlight the challenges experienced and the solutions to the problems. The integration of this system with other real-world businesses will be discussed. Lastly, the paper will discuss the challenges, lessons learned, and future work.
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