[Examples of Demand Forecasting Initiatives] Optimization of Inventory and Standardization of Production Planning
We will support you in considering how to manage the standard inventory and reflecting it in the production plan!
The initial consultation brought in was about the low accuracy of monthly sales forecasts prepared by the sales team, which resulted in frequent stockouts. We proposed calculating the standard inventory and safety stock based on sales forecasts and forecast accuracy, and conducting planned production based on the derived production quantities. It is important not only to predict demand but also to change inventory management methods and production planning approaches. We will support you in considering how to hold standard inventory based on sales rank and forecast accuracy, and reflecting this in your production plans. 【Features】 1. Daily data is decomposed into four components: "trend," "weekly seasonality," "annual seasonality," and "monthly seasonality" (additional factors for holidays and events can be included). 2. An error term is added to the elements from step 1, combined linearly to create a forecasting model. 3. The model's output is aggregated monthly. * This will serve as an example of forecasting on a monthly basis using item-specific and daily sales data. * For more details, please refer to the related link page or feel free to contact us.
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【Proposal Content】 ■ Reduce the workload of sales staff by using AI for sales forecasting. ■ Validate the accuracy of the demand forecasting program for IPS creation. ■ Analyze customer sales trends and refine the program for customers, aiming to improve accuracy for each item. ■ Calculate not only forecasts but also the inventory that should be maintained, and conduct production in a planned manner. ■ Conduct planned production based on production quantities derived from standard inventory, safety stock, and current inventory. *For more details, please refer to the related link page or feel free to contact us.
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For more details, please refer to the related link page or feel free to contact us.
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Under this concept, we aim to establish SAP, which has been considered for large enterprises, in medium-sized and small-to-medium enterprises, aspiring to become the market leader in this sector. We have been conducting market development with bold pricing strategies and significant marketing investments, building a strong trust relationship with SAP. As digital transformation accelerates, we are starting new initiatives aimed at becoming a pillar of new business! This is not just about "implementing SAP," but about transforming into a business that focuses on "utilization" and "effectiveness." After the completion of SAP implementation, we work together with our customers to create management and operational effects using SAP. This is a business that no one has tackled yet, and it represents our commitment to full-scale business consulting services. We are exploring new businesses by leveraging new technologies such as AI, IoT, and RPA. We are pursuing consulting services that utilize these new technologies in management and business activities. For example, we have begun challenges such as realizing smart factories, achieving zero accounting personnel, and conducting marketing analysis. We aim to establish IPS's unique domain and the ideal state for our customers! IPS supports the "manufacturing reform of fighting medium and small enterprises!"
