Free Seminar: Transforming Veteran Intuition into a "System" - A Demand Forecasting and Business Standardization Model for Supply and Demand Succession

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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Understand the causes of excess inventory, the associated risks, and specific solutions.

Reducing "excess inventory," which puts pressure on corporate profits, is an important issue for many businesses. The causes of excess inventory include low accuracy in demand forecasting and the personalization of sales and ordering plans. This article thoroughly explains the causes of excess inventory, the associated risks, and specific solutions. If excess inventory is left unaddressed, it can lead to increased storage costs and worsened cash flow; however, by implementing appropriate measures, it is possible to avoid these risks and efficiently reduce inventory. Various approaches will be introduced, from utilizing short-term discount sales to reviewing inventory management processes in the medium to long term, providing concrete strategies to fundamentally reduce excess inventory. *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.

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Understand the differences between excess inventory and surplus inventory, as well as the causes and risks associated with each.

Understanding the difference between "excess inventory" and "overstock" in inventory management is key to cost reduction and operational efficiency. However, few people may know exactly what these terms mean and how to address them. This article will clearly explain the differences between excess inventory and overstock, revealing the causes and risks associated with each. Additionally, it will detail specific methods to reduce these inventories and fundamental measures to prevent their occurrence. In particular, we will explore how to leverage demand forecasting techniques to proactively prevent the emergence of excess inventory. By gaining this information, you can take a step towards solving inventory management issues and achieving business efficiency. *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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We will thoroughly explain the purpose and benefits of inventory reduction, the approach to take, and the utilization of AI, providing information that will help optimize inventory management.

In inventory management, excess inventory puts pressure on costs, while stockouts lead to lost opportunities, making balanced inventory reduction an important challenge for companies. However, to promote inventory reduction, it is necessary to understand specific methods and how to utilize AI, and to execute them efficiently. This article thoroughly explains the objectives and benefits of inventory reduction, how to proceed, and the use of AI, providing information that helps optimize inventory management. Let's learn how to reduce storage costs and improve cash flow through inventory reduction. *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 specific methods to streamline inventory management based on the fundamental concepts of inventory management.

For companies aiming to streamline inventory management, what approaches to inventory management are most optimal for efficiency? This article will provide a detailed explanation of the fundamental concepts of inventory management, as well as specific methods to enhance its efficiency. It offers tips to solve the challenges faced by many companies struggling with inventory management issues and significantly improve operational efficiency. We will introduce the latest inventory management techniques utilizing AI and systems to overcome challenges such as reliance on specific individuals and inability to respond to demand fluctuations. By reading this, you will gain insights into the benefits of streamlining inventory management and practical solutions for effective inventory management. *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 basic structure and utilization methods of the PSI management table, as well as practical operational points for its implementation.

The PSI management table is an essential tool for efficiently managing a company's production, sales, and inventory, allowing for centralized management of production (Production), sales (Sales), and inventory (Inventory) through the PSI management table. By utilizing the PSI management table, challenges such as excess inventory and stockouts can be addressed, promoting operational efficiency. In particular, as supply chains become more complex, the importance of the PSI management table is increasing. This article provides a detailed explanation of the basic structure and utilization methods of the PSI management table, as well as practical operational points for its implementation. It also touches on specific steps for creating a PSI management table using Excel and how AI can be utilized for demand forecasting in PSI management. Please read 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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You can understand the basic mechanisms and benefits of PSI management, as well as the management systems that should be implemented.

The PSI (Production, Sales, Inventory) management system is an essential system for integratively managing sales, production, and inventory in an increasingly complex supply chain. In today's world, where demand fluctuations are intense, an appropriate PSI management system is indispensable. This article will provide a detailed explanation of the basic mechanisms and benefits of PSI management, as well as the management systems that should be implemented. Without the introduction of an appropriate PSI management system, issues such as excess inventory and stockouts can arise, leading to a reliance on specific individuals and a decrease in planning accuracy. By implementing a PSI management system, we can prevent surplus inventory and aim for cost reduction and maximization of sales opportunities. *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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We will find the optimal approach to AI forecasting for business operations through understanding the mechanisms of AI predictions, specific use cases, and comparisons of AI tools.

In modern corporate activities, AI forecasting is gaining attention as a means to maximize sales. The challenge many companies face is how to effectively utilize AI forecasting to improve sales. This article will help you find the best approach to AI forecasting for your business operations by explaining the mechanisms of AI forecasting, providing specific case studies, and comparing AI tools. By leveraging AI forecasting, it becomes possible to improve prediction accuracy, reduce labor hours, and optimize inventory and personnel, ultimately leading to an expected increase in sales. In particular, we introduce specific applications of AI forecasting across various industries, including retail, food service, manufacturing, and services. *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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A thorough explanation from the basics of sales forecasting to calculation methods using Excel! Understand the key points to improve the accuracy of sales forecasts.

In business activities, accurately predicting future sales is the key to success. However, many people may struggle with how to calculate sales forecasts and how to utilize Excel effectively. By leveraging Excel, it is possible to quickly create sales forecasts while keeping costs down. However, analyzing external factors that cannot be captured by Excel alone is also an important challenge. This article thoroughly explains the basics of sales forecasting, from fundamental concepts to calculation methods using Excel, and introduces practical points to enhance the accuracy of sales forecasts. *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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Understand the basics of PSI management, the limitations of Excel, and the introduction of systems for efficient PSI management.

In PSI management, it is important to effectively connect production, sales, and inventory. However, there are many constraints when managing PSI with Excel. PSI management using Excel faces issues such as the burden of data updates, the risk of human error, and a lack of flexibility. Therefore, to streamline PSI management, it is necessary to implement a system for centralized management and real-time data visualization. This article will provide a detailed explanation of the basics of PSI management, the limitations of Excel, and the implementation of systems for efficient PSI management. *For more details, you can view the blog through the related links. For further information, please download the PDF or feel free to contact us.*

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Understanding the mechanism, methods, benefits, implementation steps, and use cases of "demand forecasting AI."

AI-driven demand forecasting is a noteworthy system that realizes the efficiency of various operations such as sales, inventory, production, and procurement. In recent years, we have entered an era where future demand can be predicted with high accuracy using data and AI, without relying on experience or intuition. This article will clearly explain the mechanisms, methods, benefits, implementation steps, and case studies of "demand forecasting AI." *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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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.*

• Other operation management software

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.*

• Other operation management software

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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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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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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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.

• Other operation management software

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.*

• Other operation management software

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.

• Other operation management software

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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Equipped with various features such as the delivery of rich content like images and videos, and the ability to build web chat scenarios!

"Absolute Reach! RCS" is an integrated platform that innovates communication between businesses and users, ensuring that no one is left behind, with safe and secure interactions using just a phone number. The greatest strength of SMS and RCS is their high open rates. They enable effective promotions by utilizing important notifications and rich content. Additionally, since you can confirm opens and clicks, it allows for immediate connection to the next action. It also enables two-way communication, allowing for prompt responses. [Features] ■ One of the largest communication platforms in the industry ■ Usable with SMS and RCS through a unique chatbot ■ Comprehensive security measures for safe usage *For more details, please download the PDF or feel free to contact us.

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■Connecting Biomarker Discovery to Clinical Application - Explained with Real Cases of Neurodegenerative Diseases Although biomarkers are discovered, many do not reach clinical application. The reasons for this lie in multiple hurdles that arise after discovery, such as "narrowing down candidates," "reproducibility," and "connecting to clinical practice." 1. How should promising candidates obtained from comprehensive exploration be narrowed down? 2. How can reproducibility and scalability be ensured? 3. What are the key points for smoothly transitioning to clinical research? 4. What should be considered in data science throughout the overall flow? In this online seminar, we will clearly explain specific strategies for advancing from discovery to clinical application based on actual research cases of Alzheimer's disease and multiple sclerosis, in an easy-to-understand manner in Japanese. *Olink products and services are for research purposes only. Please note that they cannot be used for diagnostic purposes.

We would like to extend our heartfelt congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will showcase a variety of products, including new ones. We sincerely invite you to visit us during this busy time. 【 Exhibition Name 】 Automotive Technology Exhibition 2025 YOKOHAMA https://aee.expo-info.jsae.or.jp/ja/yokohama/ (An "online exhibition" will also be held during and around the event period) 【 Dates 】 May 21 (Wednesday) - 23 (Friday), 2024 10:00 AM - 6:00 PM *On the final day, 9:00 AM - 4:00 PM (Online exhibition: May 14 (Wednesday) - June 4 (Wednesday)) 【 Venue 】 Pacifico Yokohama (1-1-1 Minatomirai, Nishi-ku, Yokohama, Kanagawa Prefecture) Our booth number: "Concourse 505"

We would like to extend our heartfelt congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will showcase a variety of products, including new ones. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to attend this event. 【 Exhibition Name 】 27th INTERPHEX Week Tokyo https://www.interphex.jp/tokyo/ja-jp.html 【 Dates 】 July 9 (Wednesday) - 11 (Friday), 2025 10:00 AM - 5:00 PM 【 Venue 】 Tokyo Big Sight (3-11-1 Ariake, Koto-ku, Tokyo 135-0063)

We are pleased to announce the upcoming webinar "Analytical Instruments Course - Basic Edition." This course is designed for anyone who will be involved in analytical work starting this spring, as well as those who wish to revisit the principles of analytical methods. This time, we will explain sulfur, nitrogen, and chlorine analysis instruments, as well as total organic carbon analysis instruments. If you are interested, please register for participation through the details and registration button. Start times: 14:00 - Nitrogen, Sulfur, and Chlorine Analysis Instruments 15:00 - Total Organic Carbon Analysis Instruments

We are pleased to announce the upcoming webinar "Analytical Instrument Course - Basics Edition." This course is designed for anyone who will be involved in analytical work starting this spring, as well as those who wish to revisit the principles of analytical methods. We believe that everyone will find the content satisfying. If you are interested, please register for participation using the application button. This time, the program will be held as follows: 1:00 PM - Microwave Sample Digestion System 2:00 PM - Atomic Absorption Spectrophotometer 3:00 PM - ICP Emission Spectrometer