[January 29 (Thursday) at 1 PM] Free Webinar: Inventory Optimization Realized through AI Demand Forecasting - How to Systematize the Calculation of Optimal Order Quantities -

No specialized knowledge required! Demand forecasting service using no-code AI predictive analytics.

"Deep Predictor" is an AI forecasting and decision support service that anyone can easily use without specialized knowledge. We provide an environment where you can always check sales forecast results with high accuracy and solid reasoning. [Examples of Issues We Can Solve] - Inventory optimization - Improvement of lead times - Production planning optimization - Reduction of food waste - Optimization of personnel allocation, etc. [Features] ■ Enables anyone to easily perform high-precision demand forecasting ■ Supports optimization based on demand forecast results ■ Visualizes the reasoning and logic behind forecast values *For more details, please refer to the PDF materials or feel free to contact us.

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You can understand how to prevent excess inventory and achieve profit improvement through demand forecasting and inventory management optimization using AI.

Excess inventory refers to a situation where stock levels exceed sales plans, posing a significant management risk for companies. When excess inventory occurs, various disadvantages arise, such as increased storage costs, worsened cash flow, and decreased product value. Furthermore, if inventory remains in the warehouse for an extended period, it can lead to reduced operational efficiency and waste losses, ultimately putting pressure on profit margins. To prevent these disadvantages of excess inventory, it is crucial to correctly understand the causes and take early measures. This article will clearly explain the main causes of excess inventory and the differences between stagnant inventory and surplus inventory, as well as introduce specific strategies to minimize risks. *For more detailed content of the blog, please refer to the related links. For more information, you can download the PDF or feel free to contact us.*

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You can understand how to advance AI demand forecasting that balances food loss reduction and prevention of stockouts.

For food manufacturers, the accuracy of demand forecasting is a crucial factor that influences management. If forecasts are incorrect, it can lead to food waste due to excess inventory or lost sales opportunities due to stockouts, which can pressure profits. In recent years, the response to the SDGs and intensified market competition have revealed the limitations of traditional forecasting methods that rely on intuition and experience. This is where AI-driven demand forecasting comes into focus. High-precision forecasts based on vast amounts of data can reduce food waste and maximize profits, leading to sustainable management. Particularly for food manufacturers, utilizing AI has become urgent to capture the highly variable demand. This article will explain the environment surrounding food manufacturers, the challenges of demand forecasting, the benefits of AI demand forecasting, and AI demand forecasting services that can be utilized with no-code solutions. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

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You will learn how to improve order accuracy with demand forecasting and reduce unnecessary inventory costs.

Demand forecasting in inventory management is a crucial initiative that significantly affects a company's profitability and customer satisfaction. If demand cannot be accurately assessed, risks such as increased costs due to excess inventory and lost sales opportunities due to stockouts can arise. Conversely, effective demand forecasting can lead to inventory optimization, improved operational efficiency, and even increased sales. This article will clearly explain the basics of demand forecasting in inventory management, representative formulas and methods, as well as the latest initiatives utilizing AI. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

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You can understand everything from the basics of creating a needs plan to key points for successful operation without failure.

In the manufacturing industry, demand planning is essential for achieving stable supply and efficient production. Proper demand planning can prevent excess inventory and stockouts, optimizing production efficiency in factories and the entire supply chain. However, in recent years, it has become increasingly difficult to ensure sufficient accuracy with traditional methods due to intensified demand fluctuations and the complexity of supply chains. This is where AI-driven demand forecasting has gained attention. By implementing AI, manufacturing sites can conduct their own forecasts, supporting quick and flexible decision-making. This article will clearly explain the basics of demand planning in manufacturing, how to create it, challenges and solutions, as well as the latest trends and the use of AI tools. *For more detailed information, please refer to the related links. For further details, feel free to download the PDF or contact us.*

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You can understand measures to address lead time variability and points for improving the accuracy of demand forecasting.

In inventory management and ordering operations, it is important to prevent stockouts while keeping inventory costs low. The key to this is inventory optimization that combines lead time and demand forecasting. Lead time is the period from order placement to delivery, while demand forecasting is a method for estimating future sales volumes. If either is inaccurate, the risk of overstocking or stockouts increases. In today's rapidly changing market, the importance of optimizing both simultaneously has never been greater. This article will clearly explain the basics of lead time and demand forecasting, how to set safety stock, optimize ordering methods, and examples of utilizing AI tools. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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Systematize the ordering process so that anyone can replicate the operation.

Are you struggling with losses or stockouts due to inventory imbalances? Many of the causes stem from conducting ordering operations with low accuracy in demand forecasting. In recent years, an increasing number of companies have dramatically improved their ordering accuracy through demand forecasting utilizing AI and data analysis. In this article, we will comprehensively explain practical information covering the relationship between demand forecasting and ordering, specific forecasting models, utilization methods by ordering type, and the benefits of automation using AI tools. *You can view the detailed content of the blog through the related links. For more information, please download the PDF or feel free to contact us.*

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You can understand the steps for introducing demand forecasting AI and the key points for successful selection.

In today's market environment, the accuracy of demand forecasting significantly influences a company's performance. However, accurately capturing complex consumer trends and external factors is not easy. This is where AI-driven demand forecasting comes into focus. This article clarifies the mechanisms and advantages of AI-driven demand forecasting, as well as the algorithms used, and explains its effectiveness through actual implementation examples. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

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You will also understand practical measures to maintain appropriate inventory levels and specific countermeasures when inventory shortages occur.

Stock shortages are a serious issue faced by many companies. When appropriate inventory levels cannot be maintained, there is a risk of missing sales opportunities and decreasing customer satisfaction. Furthermore, response costs may increase, and there is also the possibility of holding excess inventory. This article will explain the definition and impact of stock shortages in detail, as well as introduce numerical indicators and calculation methods for inventory management. *For more details, you can view the related links. Please feel free to download the PDF or contact us for more information.*

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You will understand improvement measures to increase prediction accuracy and key points for successful operation.

"Sales forecasting" is a key factor that influences business success. By understanding its importance and using appropriate calculation methods, companies can achieve more efficient inventory management and optimize their resources. However, accurately forecasting sales is not easy. This article will provide a detailed explanation of the basic concepts of sales forecasting, how to choose calculation methods, and specific ways to improve accuracy. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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By understanding the appropriate inventory levels and improving demand forecasting, tips for efficient inventory management can be obtained.

It is often said that "when inventory increases, profits increase," but is that really the case? In the manufacturing industry, it is important to pay attention to the impact of inventory on accounting profits. The phenomenon of "increasing inventory leading to increased profits" is related to accounting mechanisms and can lead to erroneous management decisions. This article will explain the issue of excess inventory in the manufacturing industry, its solutions, and the mechanisms by which increasing inventory can lead to increased profits. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

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It also introduces examples of automating demand forecasting using AI, highlighting points that can be immediately applied in practice.

Reducing inventory in the manufacturing industry is not just about cutting costs; it is a management challenge that directly relates to improving turnover rates, reducing stockout rates, and ensuring healthy cash flow. Especially in recent years, as uncertainty in the supply chain has increased, it has become more important to accurately manage "when and how much to order" rather than "how much inventory to hold." This article will explain the basic steps to advance inventory reduction in manufacturing, as well as specific methods such as setting safety stock levels, designing reorder points, and optimizing order quantities. *For more detailed content, please refer to the related links. For further information, feel free to download the PDF or contact us.*

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Understand the concept of demand forecasting and practical points to reduce waste in inventory management.

To manage inventory properly, it is important to accurately forecast the demand for products. As consumer needs diversify and the pace of change increases, making inventory forecasts and maintaining appropriate inventory levels is not easy. Excess inventory incurs additional costs, while shortages can lead to missed sales opportunities. Against this backdrop, it becomes crucial to conduct proper inventory and demand forecasting. Demand forecasting is a strategic means of maintaining optimal inventory levels by analyzing past data and market trends to predict future demand. By carrying out this process correctly, companies can reduce waste in inventory and achieve efficient resource allocation. In this article, we will explain the overview and importance of demand forecasting in inventory management, specific methods, and case studies. *For more detailed content of the blog, please refer to the related links. For further information, you can download the PDF or feel free to contact us.*

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You can quickly understand everything from the basics of demand forecasting to challenges, solutions, and tips for improving accuracy.

Demand forecasting refers to the process of predicting the sales and customer numbers of a company's products and services. Companies utilize this forecast to aid in inventory management, production planning, and the formulation of marketing strategies. Since demand fluctuates based on market and consumer trends, accurate forecasting is key to enhancing a company's competitiveness. This article will provide a detailed explanation of the fundamental concepts of demand forecasting, the challenges faced and their solutions, as well as points for improving accuracy and trends in the latest technologies. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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You can understand the risks of excess inventory and the reduction measures that can be implemented starting today.

In industries such as wholesale, retail, and manufacturing, businesses that handle products as inventory often face challenges like "increasing leftover stock" and "how to avoid holding excessive inventory." The idea of "keeping a little extra inventory just in case" seems quite normal for companies involved in inventory management. However, holding too much inventory is referred to as "excess inventory," which can lead to many risks and disadvantages. This article will explain the risks associated with excess inventory and methods to reduce it. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

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AI needs to understand the advantages and disadvantages of predictions in order to make implementation decisions.

The evolution of IT has particularly drawn attention to AI technology in recent years. This article will explain the basic knowledge of demand forecasting using AI, the social background that is attracting attention, the advantages and disadvantages of its use, specific implementation steps, and case studies. *You can view the detailed content of the blog through the related links. For more information, please download the PDF or feel free to contact us.*

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Understand the basics of demand forecasting, methods, and examples, and be able to improve accuracy.

Demand forecasting refers to predicting various "quantities of demand," such as product sales and the number of items needed for procurement. This article will clearly explain the basics of demand forecasting, specific methods, and approaches that utilize the latest technologies. *For detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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You can understand the criteria for decision-making regarding the introduction, from the basics of the demand forecasting system to how to choose one.

Demand forecasting systems support the optimization of inventory management, production planning, and marketing strategies by predicting future demand based on past data. In particular, those utilizing AI are becoming essential tools for many companies due to their high accuracy and rapid analysis capabilities. This article will provide a detailed explanation of the fundamentals of demand forecasting systems, specific use cases, the benefits of implementation, and recommended systems. *For more detailed content of the blog, please refer to the related links. For more information, you can download the PDF or feel free to contact us.*

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It also provides an understanding of demand forecasting, which is essential for inventory reduction.

For companies that engage in inventory management, the challenge is how to reduce inventory. This article will introduce the purpose of inventory reduction, specific methods for achieving it, and examples of successful reductions. *You can view the detailed content of the blog through the related links. For more information, please download the PDF or feel free to contact us.*

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Understand the risks of excess inventory and identify reduction measures that can be implemented starting today.

Excess inventory refers to stock that remains in a warehouse without being sold or shipped for a certain period after purchase. Many company representatives may want to understand the management risks associated with holding excessive inventory in advance or are struggling with inventory management methods. This article focuses on excess inventory, explaining the differences between excess inventory, surplus inventory, and defective inventory, the causes of increasing excess inventory, and how to address it. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

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You can also understand tools suitable for sales forecasting.

Sales forecasting refers to predicting a company's future sales revenue, and accurately forecasting sales can lead to optimizing inventory and personnel allocation. Among those in retail and manufacturing, there may be individuals who wish to improve the accuracy of their sales forecasts. In this article, we will explain the importance of sales forecasting, how to calculate it, and methods to enhance forecasting accuracy. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

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You can also understand how to utilize the no-code demand forecasting AI tools that have been gaining attention in recent years.

We often hear concerns from companies where inventory management is essential, such as regular occurrences of stockouts and difficulties in reducing the stockout rate. In this article, we will explain the basic concepts of stockout rates and how to solve and improve this issue, incorporating specific methods and tools. *For detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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You can also understand tools that help resolve excess inventory.

Excess inventory refers to a situation where the stock held exceeds the demand for the products. Holding more inventory than necessary increases inventory costs and can lead to an increase in obsolete stock and a deterioration of cash flow. Some individuals in retail and manufacturing may be struggling with the thought, "I want to address excess inventory, but I don't know how to optimize it." This article will explain the causes, disadvantages, risks, and countermeasures related to excess inventory. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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You can systematically understand the appropriate inventory for the manufacturing industry through formulas and practical strategies.

In the manufacturing industry, maintaining optimal inventory levels is a crucial issue that directly impacts performance. This article explains the calculation methods for maintaining optimal inventory levels and specific methods to achieve them. *For more detailed information, you can view it through the related links. For further details, please download the PDF or feel free to contact us.*

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What is a demand forecasting model? Here are three reasons to utilize demand forecasting AI tools.

When conducting demand forecasting, it is important to adopt a model that fits the content to be analyzed. In this article, we will explain the main models used in demand forecasting and the points to consider when performing demand forecasting. *For detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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You will understand the method for calculating optimal inventory levels and how to optimize inventory using demand forecasting AI.

In industries and business types where inventory management operations occur, how to maintain optimal inventory levels and maximize corporate profits without causing excess or stockouts is a significant challenge. This article will explain the basic concepts for maintaining optimal inventory, methods for calculating optimal inventory, and management techniques. *For detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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You can also understand recommended methods that help with inventory optimization.

By optimizing inventory, benefits such as optimizing cash flow, reducing excess inventory, preventing stockouts, and maintaining product quality can be achieved. However, many people in retail and manufacturing may wonder, "How can I optimize inventory?" In this article, we will explain the benefits of inventory optimization, traditional methods and challenges of inventory optimization, and options for demand forecasting in inventory optimization. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

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You can understand the benefits of using demand forecasting AI and effective operational methods.

In companies where inventory management operations occur, accurate inventory forecasting is required. However, achieving accurate inventory forecasts is very challenging, and it is not uncommon to struggle with excess inventory or stock shortages. Additionally, the burden on the personnel responsible for inventory forecasting is also a significant issue. This article will explain the challenges of inventory forecasting operations and discuss the introduction of demand forecasting AI as a method to solve these challenges. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

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Benefits such as maximizing sales opportunities, reducing waste loss, and improving inventory management efficiency!

Demand forecasting is the process of predicting how much of a product will sell (whether there is demand for it). To maximize sales opportunities and optimize inventory, accurate demand forecasting is essential. However, some individuals in retail and manufacturing may struggle with issues such as "not being able to accurately forecast demand for new products" or "experiencing significant fluctuations in product sales due to seasonal changes." This article will provide a detailed explanation of the basic concepts of demand forecasting, its benefits, the necessary data, and actual case studies of its application. *For more detailed content, please refer to the related links. For further information, feel free to download the PDF or contact us.*

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Reviewing inventory management rules and processes, as well as initiatives to reduce returned inventory, is important!

Efficient inventory management significantly affects a company's profitability and management situation. Additionally, by maintaining appropriate inventory levels, companies can quickly respond to customer demand, leading to increased satisfaction. On the other hand, excessive inventory can increase costs and pose risks to cash flow liquidity. This article will provide a detailed explanation of the advantages and disadvantages of holding inventory, as well as the associated risks and how to address them. We will also introduce the latest AI tools that can be utilized to enhance the accuracy of demand forecasting. In particular, no-code AI tools are recommended for many companies as they can be implemented without technical knowledge. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

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It is important to utilize tools such as Excel and demand forecasting systems to make highly accurate predictions and manage inventory!

Inventory optimization is essential for properly managing stock and minimizing excess and shortages. This article will explain the overview and methods of inventory optimization. *You can view the detailed content of the blog through the related links. For more information, please download the PDF or feel free to contact us.*

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Introducing the convenient "Forecast Sheet" feature and key points for operation after creating inventory management tables!

There are various methods and tools for inventory forecasting, each with its own advantages and disadvantages. This article will provide a detailed explanation of the basics of inventory forecasting, as well as specific methods using Excel. Excel is widely used as a tool for inventory forecasting in many companies due to its flexibility and ease of use. Additionally, there are several other options available for demand forecasting, which will also be introduced. Inventory forecasting is a crucial element for enhancing the operational efficiency of a business. Please refer to this article to choose the appropriate methods and tools, aiming for the optimization of inventory management. *You can view the detailed content of the blog through the related links. For more information, please download the PDF or feel free to contact us.*

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Detailed explanations of methods for calculating appropriate inventory levels and managing cycle stock are also provided!

Cycle inventory refers to the stock that is consumed within a certain period to meet normal demand. This article will provide a detailed explanation of the basic concepts and definitions of cycle inventory, how to determine the appropriate quantity, calculation methods, management techniques, roles by industry, and even forecasting methods. Through this article, we aim to deepen your foundational knowledge of cycle inventory and equip you with practical management methods. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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We will also introduce the benefits of calculating inventory management costs and the impacts of increases!

Inventory management costs refer to the total expenses incurred from holding inventory, which include various items such as warehouse rent, utility costs, labor costs, storage fees, and transportation costs. Among those in the manufacturing industry, there may be individuals who think, "The burden of inventory management costs is significant, so I want to reduce them." In this article, we will explain the overview of inventory management costs, methods for reduction, and important aspects such as demand forecasting that are crucial for cost reduction. This article will also help you understand tools that are useful for efficient demand forecasting, so please read it to the end. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

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Effective for optimizing operations in the manufacturing industry! An explanation of the basics such as implementation steps and case studies.

Demand forecasting refers to predicting future expectations regarding sales and customer numbers, and in the manufacturing industry, demand forecasting using AI is also being implemented. This article explains the necessity and benefits of demand forecasting in the manufacturing industry, the steps for implementing AI, and case studies. It is an article that helps you understand the image of implementing demand forecasting using AI and the steps involved, so please read it through to the end. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.

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We will also introduce the differences between retained inventory and surplus inventory, as well as products that are likely to become excess inventory!

Excess inventory refers to a situation where the amount of goods stored in a warehouse significantly exceeds market demand. This issue poses various risks and disadvantages for companies, often necessitating a review of countermeasures. This article provides a detailed explanation of the causes of excess inventory, its risks, and specific countermeasures. By understanding specific countermeasures for excess inventory, companies can achieve more efficient inventory management, reduce unnecessary costs, and enhance customer satisfaction. If you are feeling challenges with current excess inventory measures, please read to the end. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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How about taking a step towards AI implementation by learning about examples of demand forecasting?

Many people may want to know how to effectively utilize AI for demand forecasting, along with specific examples. In this article, we will introduce eight examples of demand forecasting using AI and provide a detailed explanation of the methods and benefits. For companies looking to improve the accuracy of their demand forecasts and enhance operational efficiency, the implementation of AI can be a significant help. By reading this article, you will understand how AI performs demand forecasting and what benefits it brings. Furthermore, through specific examples, you can confirm how practical the use of AI can be. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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Introducing the no-code AI predictive analysis and decision support service "Deep Predictor"!

In determining the order quantities for raw materials and components, it is important to conduct demand forecasting appropriately, as doing so can lead to the suppression of excess inventory and the avoidance of lost sales opportunities. However, among order managers in retail and manufacturing, there may be some who decide on order quantities "somewhat arbitrarily." Therefore, this article will explain the importance and methods of demand forecasting in ordering operations, as well as demand forecasting models. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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Explaining the three benefits of improving accuracy, the necessary data, and the reasons why accuracy may not increase!

Demand forecasting is a crucial means to ensure appropriate product supply, reduce inventory costs, and improve customer satisfaction. However, achieving high-accuracy demand forecasting requires the analysis of vast amounts of data. By effectively utilizing data, it is possible to enhance the accuracy of forecasts and make business decisions swiftly. This article will provide a detailed explanation of the types and roles of data necessary for high-accuracy demand forecasting, as well as the advantages of forecasting methods using AI. It will also touch on the specific benefits brought about by improving the accuracy of demand forecasting and how to utilize AI tools, providing practical knowledge. *For more detailed content of the blog, please refer to the related links. For more information, you can download the PDF or feel free to contact us.*

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Explaining the six challenges companies face in inventory management and points for efficient execution!

Inventory management is an initiative to efficiently manage the stock of products and raw materials, and it is important for stabilizing cash flow and preventing the loss of sales opportunities. However, there are likely many business owners and personnel in the manufacturing industry who feel, "I recognize the issues, but I don't know how to improve them." In this article, we will explain the overview, necessity, challenges, improvement methods, and case studies of inventory management. Please be sure to read to the end. *You can view the detailed content of the blog through the related links. For more information, please download the PDF or feel free to contact us.

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We will also introduce the benefits of forecasting shipment quantities and examples of using AI for shipment quantity forecasting!

Shipping forecasts involve appropriately predicting the number of products to be shipped based on demand, which helps in reducing excess inventory and preventing lost sales opportunities. By forecasting shipping numbers, it can lead to increased sales and reduced inventory costs, providing management benefits. This article will provide a detailed explanation of the overview, benefits, methods, effective tools, necessary data, and case studies related to shipping number forecasts. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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Explaining three reasons why it is said that demand forecasting that sufficiently takes external data into account is difficult with human effort!

This document explains the impact of market data and seasonal fluctuations on demand forecasting. It includes benefits such as the ability to identify correlations that influence demand forecasting and the opportunity to identify entry points into new markets by incorporating external data into demand forecasts. Additionally, it introduces the no-code AI demand forecasting tool "Deep Predictor," which does not require specialized knowledge, making it a useful reference for those considering implementation. [Contents] ■ Two types of external data commonly used in demand forecasting ■ How to collect and analyze external data ■ Two benefits of incorporating external data into demand forecasting ■ The challenges of demand forecasting that takes external data into account ■ How external data utilization is changing with demand forecasting AI ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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A must-see for those who want to start demand forecasting using AI! We will introduce it according to your objectives, such as what you want to achieve and the issues you want to solve.

This document is a necessary data format and data preparation guide for demand forecasting. It provides a detailed explanation of how to collect the data required for demand forecasting, a checklist for data preprocessing, and examples of the data needed to conduct demand forecasting. Additionally, it introduces the no-code AI demand forecasting tool "Deep Predictor," which does not require specialized knowledge, making it a useful reference when considering implementation. [Contents] ■ What data is required for demand forecasting ■ Data required for demand forecasting by case ■ Guide to selecting forecasting data by purpose ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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A must-read for those considering the introduction of predictive analytics services! An overview of the process for implementing demand forecasting AI services.

This book is a resource that explains the service implementation flow and design flow for those who have limited knowledge of AI services and do not know how to proceed with their considerations, as well as for those who do not want to fail in implementation. In addition to the general flow of service implementation/design, we also introduce the no-code AI demand forecasting tool "Deep Predictor," which does not require specialized knowledge. This book will serve as a useful reference when considering implementation, so please download it and take a look. [Contents] ■ Flow of implementing AI demand forecasting services ■ Flow of designing AI demand forecasting services ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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Clarifying the causes of inventory issues and explaining the good reasons to utilize AI for resolving these challenges!

This document explains inventory optimization through AI demand forecasting. It clearly outlines important points such as "maintaining appropriate order quantities," "managing inventory based on detailed ordering plans," and "understanding demand levels," as well as factors that can lead to inventory issues. Additionally, it introduces the no-code AI demand forecasting tool "Deep Predictor," which requires no specialized knowledge, making it a useful reference for those considering implementation. 【Contents】 ■ What is inventory optimization ■ Three important points for inventory optimization ■ Three barriers to advancing inventory optimization ■ Demand forecasting for inventory optimization ■ Summary ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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A must-see for those considering the introduction of AI prediction services! We will also introduce the business impact of implementation.

This document explains how to measure ROI (Return on Investment) in AI forecasting services, focusing on demand forecasting. It introduces the basic methods for calculating ROI and addresses the common inquiries regarding the investment effectiveness when implementing AI forecasting services, particularly in relation to demand (such as sales and sales volume) predictions. Additionally, it presents the no-code AI demand forecasting tool "Deep Predictor," which allows for accuracy verification, making it a useful resource when considering implementation. [Contents] ■ Reasons for needing ROI calculations when implementing AI forecasting services ■ Methods for calculating ROI in AI forecasting services ■ Business impact of implementing AI forecasting services ■ Reasons why ROI increases with AI forecasting services ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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What is different from traditional demand forecasting? An explanation of demand forecasting using AI.

This document explains three benefits that demand forecasting AI brings to inventory management in the manufacturing industry. It details typical challenges related to "inventory" in manufacturing, such as "excess inventory/stock shortages," "complex inventory management leading to resource strain," and "vulnerability to changes in the external environment," as well as the causes of these challenges. Additionally, it introduces the no-code AI demand forecasting tool "Deep Predictor," which requires no specialized knowledge, making it a useful reference for those considering implementation. [Contents] ■ Three challenges related to "inventory" in manufacturing ■ Three issues with traditional demand forecasting ■ Three benefits brought by demand forecasting AI tools ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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We will be holding the second webinar on aluminum foil, which received great acclaim last time. This is an opportunity to deepen your knowledge about aluminum foil, so please join us. 【Webinar Details】 Content: Introduction to the Manufacturing Methods and Functional Aluminum Foils vol.2 Date: February 20 (Friday) Time: 15:00 - 16:00 Participation Fee: Free How to Participate: A Zoom viewing URL will be sent to those who register by the day before. Capacity: 100 people 【Recommended for the Following Individuals】 - Those who have challenges related to metal foils or resin films - Those interested in joint research with foil manufacturers or new business development - Those interested in functional aluminum foils with high smoothness, high corrosion resistance, high strength, and luxurious designs ▼ Register here (Microsoft Forms) https://forms.cloud.microsoft/r/UA5g4N2fGU (dummy) ▼ If you have any further questions, please contact us at the email address below. foil-marketing@toyal.co.jp

This is a seminar introducing the new features of the latest version, Ver. 30, of the general-purpose 2D CAD system "EASYDRAW." Customers currently using EASYDRAW can achieve further efficiency and utilize convenient features by taking advantage of the new functionalities, so we encourage you to consider attending this seminar.

In aerospace, automotive, and other fields, rapid advancements in material development and manufacturing technology are being made to achieve further weight reduction aimed at improving fuel efficiency and reducing carbon dioxide emissions. This seminar will provide an easy-to-understand explanation for beginners about the trends in new material development at advanced companies that are energetically working towards ultra-lightweight solutions using lightweight materials such as carbon fiber, aluminum, and ceramics, as well as various additive manufacturing (AM) and manufacturing technologies and product case studies utilizing these materials through complex shape integration, lattice/honeycomb structure fabrication, porous structure fabrication, and topology optimization with 3D printers, which are impossible with conventional processing methods and technologies. The lightweighting of parts that can significantly differentiate from conventional and competitor parts is an urgent and critical issue, and intense technological development competition is unfolding both domestically and internationally. 3D printers, which are seen as the next-generation manufacturing method, offer a completely new perspective on AM technology, enabling the creation of innovative and attractive lightweight parts that are difficult to achieve with existing processing methods and technologies, as well as realizing short-term, low-cost, and high-quality manufacturing. Development cannot be expected to progress along the lines of existing technologies. By merging lightweight materials with 3D printing and utilizing topology optimization, astonishing weight reduction of parts can be achieved. We encourage you to take on this challenge.

At the beginning of this seminar, we will focus on the research and development related to ceramics 3D additive manufacturing that the National Institute of Advanced Industrial Science and Technology has been working on. We will discuss 3D additive manufacturing, powder preparation for manufacturing, debinding and sintering processes, as well as case studies of ceramics 3D additive manufacturing centered on alumina and reaction-sintered silicon carbide. Next, we will introduce Canon's latest developments in high-performance ceramic materials that significantly reduce "shrinkage" during sintering, which excel in selective laser melting (SLM) for 3D printers. We will also cover the characteristics of parts that can be manufactured using this method, layering technology, target fields, contract manufacturing services, and collaboration with Metal Research Institute, which has started high-precision semi-conductor part manufacturing services using metal 3D printers with these materials. After that, we will have advanced explanations from instructors of Shin-Toh V-Ceramics and As One about the development trends of various ceramics 3D printers from world-leading companies 3DCeram Sinto and Lithoz. We will discuss the latest additive manufacturing technologies that enable the creation of innovative parts, rapid part development, prototyping, and manufacturing, significant reductions in the number of parts, lightweight miniaturization, and reductions in manufacturing processes and workforce through the production of complex shapes, hollow and porous structures, and lattice structures that were previously impossible.

The complex shape manufacturing, integrated manufacturing, lattice/honeycomb structure manufacturing, porous structure manufacturing, hybrid structure manufacturing, direct manufacturing from 3D data, as well as topology optimization and collaboration with generative design, which were difficult with conventional processing methods and technologies, can lead to the creation of innovative aluminum parts that are not found in traditional or other companies. This includes rapid development, prototyping, and manufacturing of parts, dramatic reductions in the number of parts, ultra-lightweight and compact designs, and significant reductions in manufacturing time, costs, processes, and workforce. In this seminar, pioneering users such as J·3D, ODEC, and the pioneers of white copper, who are utilizing metal 3D printers to rapidly develop, prototype, and manufacture complex aluminum parts, will specifically explain the key points and precautions for introduction and utilization, various manufacturing methods and technologies, unique next-generation AM technologies developed in-house, and groundbreaking case studies that significantly differentiate their parts from those of other companies, sharing both success and failure stories. With the remarkable advancements in metal AM technology, the use of metal 3D printers for aluminum parts manufacturing will become commonplace in a few years. The secrets to success will be discussed by instructors with numerous research achievements and extensive manufacturing experience, providing clear and concrete lectures for those considering implementation, beginners with interest, and those who are new to the field.