List of IT/Network products

  • classification:IT/Network

3331~3360 item / All 42705 items

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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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Amino acid-derived natural cationic polymer that can be used in food preservatives, hygiene materials, and daily necessities. It is a safe material as it is a fermentation product produced by natural ...

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  • Shelf life enhancer

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Introduction of the preservative polylysine / fermented polyamino acids that contribute to food poisoning prevention.

We provide easy-to-understand materials explaining the natural preservative polylysine, which prevents food poisoning. ε-Polylysine (hereafter referred to as polylysine) is an amino acid-derived preservative widely used as a food preservative. By adding polylysine, the growth of microorganisms that cause food poisoning can be prevented. Every year, food poisoning caused by microorganisms is a significant issue and is frequently reported in the news. Even foods that do not appear to be spoiled can rapidly proliferate microorganisms if the growth environment is suitable, so caution is necessary. Even if something looks clean, contamination by bacteria can progress, posing a risk of food poisoning. By ensuring hygiene management during the manufacturing process, proper storage at appropriate temperatures, and the appropriate use of the preservative polylysine, food safety can be more effectively protected. 【Features】 ■ A safe material produced through fermentation by natural microorganisms (not genetically modified organisms) ■ Provides a good image as a natural fermented product ■ Listed in the existing additive registry as a food preservative ■ A safe domestic product *Please feel free to contact us.

SLR-429M RS232C interface board

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  • Remote Control
  • Other embedded systems (software and hardware)
  • Communications

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Simultaneous control of multiple systems within the same area is possible! No application for a radio station license is required.

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  • Remote Control
  • Other embedded systems (software and hardware)
  • controller

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Simultaneous control of multiple systems within the same area is possible! No application for a radio station license is required.

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  • Remote Control
  • Communications
  • controller

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Simultaneous control of multiple systems within the same area is possible! No application for a radio station license is required.

  • nt-4-d4-ph002.png
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  • Remote Control
  • controller
  • Communications

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Simultaneous control of multiple systems within the same area is possible! No application for a radio station license is required.

  • nt-4-d4-ph002.png
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  • Remote Control
  • Communications
  • controller

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Simultaneous control of multiple systems within the same area is possible! No application for a radio station license is required.

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  • Remote Control
  • Communications
  • controller

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RECAIUS voice recognition middleware Voice Trigger improves the stability of device operation through quick responsiveness and high-precision voice detection.

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  • Software (middle, driver, security, etc.)
  • Other embedded systems (software and hardware)

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RECAIUS voice synthesis middleware ToSpeak enables real-time information delivery and multilingual support with natural and easily understandable speech.

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  • Software (middle, driver, security, etc.)
  • Other embedded systems (software and hardware)

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A wireless digital intercom that allows simultaneous calls for up to 6 people, ideal for communication regarding parts replenishment on the production line and work coordination within groups, similar...

  • Other network tools
  • server

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We create business with total solutions and full support.

  • Software (middle, driver, security, etc.)
  • Other embedded systems (software and hardware)
  • Other operation management software

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Simultaneous control of multiple systems within the same area is possible! No application for a radio station license is required. Embedded wireless module.

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  • Remote Control
  • Other embedded systems (software and hardware)
  • controller

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Stable serial communication at 2.4GHz through Spectrum Direct Sequence Spread Spectrum (DSSS) and True Diversity reception embedded wireless module.

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  • Remote Control
  • controller
  • Other embedded systems (software and hardware)

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Continuous communication 8-point input board equipped with a specific low-power wireless module MU-3-1216.

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  • Remote Control
  • Communications
  • controller

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Continuous communication 8-point output board equipped with a specific low-power wireless module MU-3-429.

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  • mu3-out8-429-new-ph003.png
  • mu3-out8-429-new-ph004.png
  • mu3-out8-429-new-ph005.png
  • Remote Control
  • controller
  • Other embedded systems (software and hardware)

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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.

  • Other operation management software

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Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

Continuous communication 8-point input board equipped with a specific low-power wireless module MU-3-429.

  • mu3-in8-429-new-ph002.png
  • mu3-in8-429-new-ph003.png
  • mu3-in8-429-new-ph004.png
  • mu3-in8-429-new-ph005.png
  • Remote Control
  • Communications
  • controller

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A comprehensive system that can handle project management and data management from the production progress of printed materials to submission and printing order processing.

  • Workflow System
  • Other information systems
  • Purchasing Management System

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

  • Other operation management software

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Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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

  • Other operation management software

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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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

  • Other operation management software

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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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

  • Other operation management software

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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

Automate Acrobat tasks in bulk with EverMap. Standardize splitting, redaction, searching, and distribution to strengthen large-scale PDF operations.

  • Software (middle, driver, security, etc.)

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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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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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

  • Other operation management software

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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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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seminar20260226_bana_1080×1080 (1).png

Standardizing orders for multiple items and multiple locations using demand forecasting AI.

In workplaces responsible for ordering across multiple items and locations, challenges such as the following arise daily: - Different demand trends for each item and location - Reliance on Excel and subjective judgment for ordering - Inability to see overall optimization, leading to stockouts and excess inventory As the number of items and locations increases, it becomes difficult to determine order quantities based solely on intuition, experience, or past performance, revealing barriers such as "personalization," "dependency on specific personnel," and "incomparability." To address these challenges, it is crucial to accurately understand the demand for each location and item and to make evidence-based forecasts before optimizing order quantities. This seminar will explain how to standardize and optimize ordering decisions using AI demand forecasting, with concrete ideas and practical examples. For more details, please check the overview page below. https://aicross.co.jp/deep-predictor/seminar/seminar-260226/

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