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Predictive tools - メーカー・企業4社の業務用製品ランキング | イプロスものづくり

更新日： 集計期間:Apr 08, 2026～May 05, 2026
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Predictive toolsのメーカー・企業ランキング

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  1. ウェーブフロント 本社 Kanagawa//software
  2. null/null
  3. AI CROSS Tokyo//Information and Communications
  4. 4 テラバイト Tokyo//software
  5. 5 パトコア Tokyo//IT/Telecommunications
企業ランキングへ

Predictive toolsの製品ランキング

更新日： 集計期間:Apr 08, 2026～May 05, 2026
※当サイトの各ページの閲覧回数を元に算出したランキングです。

  1. Failure Rate Calculation and Reliability Prediction Tool "Prediction" ウェーブフロント 本社
  2. Risk Prediction AI Tool "Logging Analysis"
  3. How to Maximize Sales with AI Predictions: An Explanation of Mechanisms and How to Choose Tools AI CROSS
  4. 4 Processing Hardening Prediction Tool 'HYCRASH' テラバイト
  5. 4 [Data] Three Benefits of Demand Forecasting AI for Inventory Management - Manufacturing Industry Edition AI CROSS

Predictive toolsの製品一覧

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Processing Hardening Prediction Tool 'HYCRASH'

Processing Hardening Prediction Tool 'HYCRASH'

Fully automated generation of collision model data considering processing analysis!

HYCRASH is a tool that allows for the incorporation of strain hardening through the use of a collision model, without the need to create data for processing analysis by using a one-step method. By utilizing the collision model itself, it calculates the thickness and plastic strain of the pressed material and automatically generates initial conditions for Ansys LS-DYNA. ■ Input is only the model for collision analysis ■ Configuration is limited to specifying the part of the pressed material ■ Automatically executes forming analysis on the specified part ■ Automatically sets the effects of pressing as initial conditions ■ Collision data considering strain hardening is completed

  • Structural Analysis
  • Predictive tools

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[Data] Three Benefits of Demand Forecasting AI for Inventory Management - Manufacturing Industry Edition

[Data] Three Benefits of Demand Forecasting AI for Inventory Management - Manufacturing Industry Edition

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.

  • Other operation management software
  • Predictive tools

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What is inventory optimization through AI demand forecasting?

What is inventory optimization through AI demand forecasting?

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.

  • Other operation management software
  • Predictive tools

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Failure Rate Calculation and Reliability Prediction Tool "Prediction"

Failure Rate Calculation and Reliability Prediction Tool "Prediction"

Support from failure rate calculation to report creation in a seamless manner.

The Reliability Workbench is a tool based on reliability engineering used for evaluating and analyzing reliability and safety in accordance with functional safety. The Prediction module assists in calculating electronic component failure rates based on various handbooks.

  • simulator
  • Other analyses
  • ISO-related consultant
  • Predictive tools

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hERG Inhibition Prediction Tool 'hERG Predictor'

hERG Inhibition Prediction Tool 'hERG Predictor'

A highly reliable hERG inhibition prediction tool that eliminates cardiotoxicity risks early in drug development!

Optimization of pharmacokinetic and toxicity parameters is an important goal throughout the drug discovery project. The "ADMET Group" applies machine learning techniques to curated datasets to create reliable predictive models. By predicting hERG inhibition using trained models, we can assess the cardiotoxicity risk of candidate compounds. 【Features】 ■ Application of machine learning techniques to curated datasets ■ Creation of reliable predictive models ■ Prediction of hERG inhibition using trained models ■ Ability to assess cardiotoxicity risk of candidate compounds *For more details, please refer to the PDF materials or feel free to contact us.

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

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How to Maximize Sales with AI Predictions: An Explanation of Mechanisms and How to Choose Tools

How to Maximize Sales with AI Predictions: An Explanation of Mechanisms and How to Choose Tools

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.*

  • Other operation management software
  • Predictive tools

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