List of IT/Network products
- classification：IT/Network
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You can quickly understand everything from the basics of demand forecasting to challenges, solutions, and tips for improving accuracy.
- Other operation management software
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/
No programming required! Setup completed in just 4 steps and within 10 minutes.
- Software (middle, driver, security, etc.)
Balansardubot Debut Event Held
Thank you very much to everyone who participated in the Balancer Dubot unveiling seminar on Thursday, September 12th. On the day of the seminar, we received positive feedback such as "I was glad to see the actual machine" and "I was glad to see the collaborative robot," and it was well received by everyone. Thank you again for your participation.
A 2-contact control receiver equipped with a power MOSFET that can directly drive a relay, housed in a lightweight and compact body.
- Remote Control
- controller
- Communications
You can understand the risks of excess inventory and the reduction measures that can be implemented starting today.
- Other operation management software
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/
AI needs to understand the advantages and disadvantages of predictions in order to make implementation decisions.
- Other operation management software
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 basics of demand forecasting, methods, and examples, and be able to improve accuracy.
- Other operation management software
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 criteria for decision-making regarding the introduction, from the basics of the demand forecasting system to how to choose one.
- Other operation management software
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/
Unifying the writing style while involving the site! Expert consultants support the operation of DX projects by building high-quality business flows in a short period of time!
- Visualization
- project management
![[Technical Column] Scope of Mainten...](https://image.mono.ipros.com/public/product/image/38d/2000858800/IPROS13476229008257687834.jpg?w=280&h=280){kind=small}
We quickly verified the compatibility of the Huawei server and you adopted it!
- server
![[Case Study Presentation] Third-par...](https://image.mono.ipros.com/public/product/image/5a5/2001161894/IPROS01500315908778374726.jpeg?w=280&h=280){kind=small}
Introducing seven cases that explain why the third-party maintenance service "Tsunagi Maintenance" is chosen from over 600 companies and more than 57,000 units of proven results!
- server
October: Scheduled exhibitions (Fukui, Gifu, Fukuoka)
In the October 2024 period, Brave Computer will be exhibiting at the following trade shows. We kindly invite everyone from each area to come and visit us. 【Hokuriku Technology Exchange Tech Fair 2024】 Date: October 17 (Thursday) - 18 (Friday), 2024 Time: 10:00 AM - 5:00 PM (until 4:00 PM on the second day) Venue: Fukui Prefectural Industrial Hall (103 Shimo-Rokujōmachi, Fukui City, Fukui Prefecture) Participation Fee: Free 【Monozukuri Gifu Tech Fair 2024】 Date: October 25 (Friday) - 26 (Saturday), 2024 Time: 10:00 AM - 5:00 PM (until 4:00 PM on the second day) Venue: Gifu Memorial Center Fureai Dome (2675-28 Nagara Fukumitsu Ōno, Gifu City) Participation Fee: Free 【2nd Back Office DXPO Fukuoka '24】 Date: October 29 (Tuesday) - 30 (Wednesday), 2024 Time: 9:30 AM - 6:00 PM (until 4:00 PM on the second day) Venue: Marine Messe Fukuoka Hall A (7-1 Okihamacho, Hakata Ward, Fukuoka City, Fukuoka Prefecture) Participation Fee: Free with prior registration (registration page here)
It also provides an understanding of demand forecasting, which is essential for inventory reduction.
- Other operation management software
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/
![[Case Study Presentation] Third-par...](https://image.mono.ipros.com/public/product/image/2c2/2000978259/IPROS25583206469294947793.jpeg?w=280&h=280){kind=small}
Establishing self-maintenance bases in 9 locations nationwide, achieving 10 years of server operation! Here are 6 examples of why the third-party maintenance service "Tsunagi Maintenance" is chosen.
- server
Manufacturer support has ended... but I still want to use it! Make your servers and hardware more sustainable with third-party support (EOSL support)! Nationwide service from our own base.
- server
![[Third-Party Maintenance Case] A ro...](https://image.mono.ipros.com/public/product/image/786/2001471253/IPROS14045659856215259899.png?w=280&h=280){kind=small}
Life-and-death monitoring "watchful maintenance" + third-party maintenance (EOSL maintenance)! A reliable and robust maintenance system is achieved by combining them.
- Server monitoring and network management tools
Understand the risks of excess inventory and identify reduction measures that can be implemented starting today.
- Other operation management software
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/