We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for prediction.
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prediction Product List and Ranking from 34 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.

  1. AI CROSS Tokyo//Information and Communications
  2. パトコア Tokyo//IT/Telecommunications
  3. SCSK デジタルエンジニアリング事業本部 Tokyo//software
  4. 4 ソホビービー Tokyo//IT/Telecommunications
  5. 5 null/null
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prediction Product ranking

Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.

  1. AI-based analysis result prediction Neural Concept Shape SCSK デジタルエンジニアリング事業本部
  2. LogP prediction, LogD prediction 'Partitioning' パトコア
  3. Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI ソホビービー
  4. [Technical Information] Prediction of Melting Point by Molecular Dynamics Calculation
  5. 5 pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation' パトコア

prediction Product List

46～60 item / All 83 items

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Compass PLUS: Point-by-point forecasts for Japan's coastal waters with a 1km mesh.

Compass PLUS: Point-by-point forecasts for Japan's coastal waters with a 1km mesh.

You can view detailed analyses for each 1km mesh, allowing for effective cost reduction!

Introducing the features of the weather and oceanographic comprehensive portal site "Compass PLUS," which is a registered product of the Ministry of Land, Infrastructure, Transport and Tourism's NETIS. NETIS Registration Number: QSK-210001-VE This system allows you to freely register 20 forecast locations per contract, making it very cost-effective. The coverage area is extensive, ranging from latitude 23° to 46° N and longitude 120° to 148° E. You can view detailed analyses at 1 km mesh intervals for all these maritime areas, ensuring you are fully prepared for operations in any sea area. 【Features】 ■ Freely register 20 forecast locations per contract ■ Coverage area is extensive, from latitude 23° to 48° N and longitude 120° to 148° E ■ View detailed analyses at 1 km mesh intervals ■ Be fully prepared for operations in any sea area *For more details, please refer to the PDF document or feel free to contact us.

  • Other safety equipment
  • Other measurement, recording and measuring instruments

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Water solubility prediction "Solubility" predicted with high accuracy!

Water solubility prediction "Solubility" predicted with high accuracy!

High-precision solubility prediction tools are extremely important in the early stages of development!

Solubility is one of the key factors in drug discovery that determines the absorption and distribution of molecules, and therefore is always a target for optimization. For this reason, high-precision solubility prediction tools are extremely important in the early stages of development. 【Features】 ■ Predicts solubility based on the topology of the input molecule ■ Calculates solubility at various pH levels ■ Convenient for cases where only rough predictions are needed ■ Demonstrated very high-precision prediction results *For more details, please refer to the PDF document or feel free to contact us.

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

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Environmental assessment and prediction (simulation)

Environmental assessment and prediction (simulation)

Wind damage prediction after apartment construction, road environmental impact assessment, etc.! Evaluations and predictions related to environmental issues.

Our company conducts business to improve the environment along roads by assessing the current state of roadside environments, predicting future environmental conditions, simulating countermeasures, and proposing environmental improvement measures. Furthermore, to provide new technologies, we develop techniques for environmental surveys and environmental simulation programs. We are capable of predicting wind damage after the construction of condominiums, predicting wind damage due to topographical changes, and forecasting atmospheric diffusion considering topographical impacts. 【Service Contents (Excerpt)】 ■ Wind damage prediction after condominium construction ■ Wind damage prediction due to topographical changes ■ Atmospheric diffusion prediction considering topographical impacts ■ Road environment impact assessment ■ Area-based evaluation ■ Continuous environmental monitoring *For more details, please refer to the related links or feel free to contact us.

  • Contract measurement
  • Other contract services

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OIT prediction based on Chemiluminescence data of Polyamide 6 powder.

OIT prediction based on Chemiluminescence data of Polyamide 6 powder.

Predictive analysis of OIT values using heating measurement data up to 190℃!

This document is a technical note explaining the OIT prediction based on Chemiluminescence data for polyamide 6 powder (without added antioxidants). Using heating measurement data up to 190°C (35°C below the melting point), where PA6 is in a state of slight melting of crystalline and amorphous parts, the OIT value is predicted. It was found that the oxidation induction time (OIT) can be predicted in the range of 90°C to 230°C from the heating measurement data at 0.2, 0.4, and 0.8 K/min. For details, please refer to the published catalog. 【Published Data (Excerpt)】 ■ CL strength signal data from 50 to 250°C (0.8 K/min) ■ Selection of appropriate peak integration range ■ Standardization of CL strength curves at 0.2 to 0.8 K/min with a peak integration value of 8.28E8 cts/g ■ Peak integration curve of heating rate 0.8 K/min data ■ CL strength curve log-log plot when the peak integration value is set to 8.28E+8 cts/g *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis

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OIT prediction below 130°C based on measured data of polypropylene powder OIT.

OIT prediction below 130°C based on measured data of polypropylene powder OIT.

Predict the CL intensity data of OIT under isothermal conditions below 130°C, lower than 140°C, from the actual measurement data of OIT!

This document is a technical note explaining the OIT predictions below 130°C based on measured OIT data of polypropylene powder. By analyzing the measured OIT data of PP powder under isothermal conditions at 140, 150, and 160°C, OIT values from 50 to 200°C were predicted. The predicted OIT values up to 90°C were almost accurate, but the predicted OIT values below 90°C were shorter in duration compared to the measured values. For more details, please refer to the published catalog, and we encourage you to read it. 【Published Data (Excerpt)】 ■ Measured OIT data of PP (powder) at isothermal conditions of 140, 150, and 160°C ■ Reaction rate curves calculated from measured isothermal data at 140, 150, and 160°C ■ CL strength data curves obtained from measured isothermal data at 140, 150, and 160°C ■ Display of CL data on the reaction rate curve (Log scale) ■ Display of the entire range of CL data on the reaction rate curve (Log scale) *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis

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Prediction of power reduction effects from the introduction of inverters.

Prediction of power reduction effects from the introduction of inverters.

Explanation of the characteristics and operating points of induction motors, and how the operating points change with inverters!

It is said that the power consumed by three-phase induction motors accounts for 40-50% of the world's electricity consumption, making them devices that consume a significant amount of power. In Japan, the number of motors in use, including those for household purposes, is said to be around 100 million, and it is estimated that they account for 55% of the domestic electricity consumption. When focusing on industrial applications, it is said that motors account for 75% of the electricity consumption. While changing motors to more efficient ones is highly effective for reducing power consumption, it is not easy to replace the motors themselves. It is believed that adding inverters and operating motors efficiently can lead to reductions in power consumption, but it cannot be definitively stated that power consumption can be reduced in all cases. Therefore, SIRC proposes a method to estimate the power reduction effects using IoT power sensor units. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

  • Company：SIRC
  • Price：Other
  • Sensors

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LYNA (Lina) Packaging Quantity Forecast

LYNA (Lina) Packaging Quantity Forecast

An AI specialized in logistics, making anyone a forecasting expert.

With just 7 days of shipping performance data, it quickly learns and predicts shipping volumes with high accuracy. Even new products without historical data are automatically estimated by AI. In the shipping field, there are instances where, despite having order data from stores, the packaging and quantity are unknown, making it difficult to predict shipping volumes. "LYNA Packaging Quantity Prediction" solves this problem. There is no need for any management of product master data. LYNA's unique AI automatically learns the relationship between past order data and shipping volumes, calculating shipping volumes for each store or route.

  • Other information systems

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Fault Prediction × IoT - Building a Predictive Maintenance System

Fault Prediction × IoT - Building a Predictive Maintenance System

Introducing the construction of predictive maintenance systems, including system images and case studies!

The background for the growing attention on anomaly detection and predictive maintenance includes factors such as the increasing complexity of failures and the rising costs of maintenance. This document introduces the construction of predictive maintenance systems. Additionally, it explains the image of predictive maintenance systems, case studies of their construction, and the construction workflow. 【Contents (Excerpt)】 ■ Image of Predictive Maintenance System ■ Predictive Maintenance by Three "Functional Levels" ■ Background for the Attention on Predictive Maintenance ■ Case Studies of Predictive Maintenance System Construction ■ Workflow for Constructing Predictive Maintenance Systems *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems
  • Software (middle, driver, security, etc.)

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3D Simulation: Production Resource Utilization Rate Forecast

3D Simulation: Production Resource Utilization Rate Forecast

Useful for examining equipment performance guarantees! Predicting the operating rate of production resources and confirming coordination with upstream and downstream processes.

The simulation software can not only handle various industrial robots but also production equipment such as parts feeders and conveyors, as well as the operational confirmation of AGVs and workers. Additionally, by pre-validating the operational rates and production forecasts of each production resource and their collaboration with preceding and subsequent processes, it can be useful for verifying cost-effectiveness and considering equipment performance guarantees. Please feel free to contact us when you need assistance. *For more details, please refer to the PDF materials or feel free to reach out to us.

  • Other CAD related software
  • simulator
  • 3D CAD

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Demand forecasting using AI in the manufacturing industry.

Demand forecasting using AI in the manufacturing industry.

Effective for optimizing operations in the manufacturing industry! An explanation of the basics such as implementation steps and case studies.

Demand forecasting refers to predicting future expectations regarding sales and customer numbers, and in the manufacturing industry, demand forecasting using AI is also being implemented. This article explains the necessity and benefits of demand forecasting in the manufacturing industry, the steps for implementing AI, and case studies. It is an article that helps you understand the image of implementing demand forecasting using AI and the steps involved, so please read it through to the end. *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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  • Other operation management software

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Inventory forecasting with predictive AI! Introducing methods and benefits of utilization.

Inventory forecasting with predictive AI! Introducing methods and benefits of utilization.

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.*

  • Other operation management software

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What is demand forecasting? A comprehensive explanation from its significance to methods and the latest application examples.

What is demand forecasting? A comprehensive explanation from its significance to methods and the latest application examples.

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.*

  • Other operation management software

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Complete Guide to Inventory Forecasting! Also Introducing Success Stories and Practical Approaches.

Complete Guide to Inventory Forecasting! Also Introducing Success Stories and Practical Approaches.

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.*

  • Other operation management software

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What is sales forecasting? An explanation of calculation methods, how to make forecasts, and ways to improve accuracy.

What is sales forecasting? An explanation of calculation methods, how to make forecasts, and ways to improve accuracy.

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

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