AI-driven demand forecasting in manufacturing.
大塚商会 生産管理システム担当
In the manufacturing industry, many companies that engage in forecast production conduct demand forecasting based on past sales performance and other factors. However, demand forecasting tends to be subjective, and many companies face challenges with poor forecasting accuracy. Recently, high-precision demand forecasting utilizing AI has become possible, leading to the streamlining of various operations in the manufacturing sector. This article will summarize and introduce an overview of AI-driven demand forecasting, implementation methods, and case studies. If you are interested, please refer to the details in the "Related Links" section below.
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Many companies in the manufacturing sector that engage in forecast production conduct demand forecasting based on past sales performance and other data. However, demand forecasting can easily become subjective, and many companies face challenges with poor forecasting accuracy.
Recently, high-precision demand forecasting utilizing AI has become possible, enabling the streamlining of various operations in the manufacturing industry. This article summarizes and introduces an overview of AI-based demand forecasting, implementation methods, and case studies.