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In the manufacturing and wholesale sectors, challenges related to inventory and ordering, such as increased storage costs due to excess inventory and opportunity losses due to stockouts, occur on a daily basis. However, on-site issues include: - Demand is prone to fluctuations, and the appropriate inventory level is not constant. - There are many items and conditions to manage, making it difficult to keep up manually. - It is hard to predict demand based solely on past performance, making demand forecasting challenging. As a result, there are often cases where efforts to optimize inventory do not progress as desired. In this seminar, we will organize the basics of inventory optimization (definitions, key points, and barriers to progress) and clearly explain how to utilize AI demand forecasting to capture demand fluctuations and calculate recommended order quantities in a seamless manner. Furthermore, we will not only focus on demand forecasting but also touch on inventory theories (safety stock, reorder points, and order quantities) to facilitate decision-making regarding order quantities. We will provide concrete examples of how business flows change when utilizing AI, including demonstrations. For more details, please check the "Details & Registration" button below. Feel free to join us.