List of Operating System products

  • classification:Operating System

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Reduce the workload from handling heavy objects! Here are five case studies that solved customer challenges! We are also accepting free consultations and tests tailored to your work!

  • PRエリア.png
  • Other conveying machines

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Presentation of explanatory materials on JIS and ISO standards. We propose suitable safety barriers from a rich product series! Free rental of demo kits.

  • Satech - AdaptaGuard_Ipros_2023_JP_1.jpg
  • Satech - BlueGuard_Ipros_2023_JP_1.jpg
  • Satech - EasyGuard_Ipros_2023_JP_1.jpg
  • Satech - FastGuard_Ipros_2023_JP_2.jpg
  • Satech - ImpactGuard_Ipros_2023_JP_1.jpg
  • Satech - EasyGuard_Ipros_2023_JP_Media-gallery_1.jpg
  • Satech - ImpactGuard_Ipros_2023_JP_Media-gallery_2.jpg
  • Satech - AdaptaGuard_Ipros_2023_JP_Media-gallery_1.jpg
  • Satech - BlueGuard_Ipros_2023_JP_Media-gallery_2.jpg
  • Other safety and hygiene products

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

  • Other operation management software

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

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

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

  • Other operation management software

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

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

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

  • Other operation management software

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

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

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

  • Other operation management software

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

Streamlining process management in the manufacturing industry with Salesforce operational support.

  • SFA/Sales Support System
  • project management
  • Other operation management software

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Salesforce operational support service to streamline patient management.

  • SFA/Sales Support System
  • project management
  • Other operation management software

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

  • Other operation management software

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seminar20260129_bana_1080×1080.png

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

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

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