We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Prediction System.
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Prediction System Product List and Ranking from 23 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

Prediction System Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. ベストテクニカルサービス Tokyo//software
  2. イグス Tokyo//Machine elements and parts
  3. 山口ティー・エル・オー Yamaguchi//Government
  4. 4 ウェーブフロント 本社 Kanagawa//software
  5. 4 オーナンバ Osaka//Industrial Electrical Equipment
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Prediction System Product ranking

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. Comprehensive Weather GIS Platform 'Amatellus' ベストテクニカルサービス
  2. Igus's IoT life prediction system "i.Cee" that realizes predictive maintenance. イグス
  3. [We accept inquiries for development] Development of cloud sea forecasting using AI technology. 山口ティー・エル・オー
  4. Service parts, repair parts (spare parts, replacement parts) demand forecasting system ウェーブフロント 本社
  5. 4 [BizForecast Case Study] Kitz Corporation プライマル

Prediction System Product List

1～15 item / All 24 items

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Real-time Flood Forecasting System RiverCast

Real-time Flood Forecasting System RiverCast

Real-time prediction of river water level fluctuations up to 15 hours ahead [NETIS registration number: KT-220028-A]

RiverCast is a cloud-based system that predicts river water level fluctuations in real time. The data required to build the prediction model consists only of meteorological agency mesh rainfall data and water level measurement data, allowing for a cost-effective and speedy implementation. Additionally, being a cloud-based system means that you can check the prediction information anytime, anywhere, 24/7. Furthermore, if an exceedance of a specified judgment water level is predicted, you will be notified by email. ■ For more details about RiverCast, please visit our website: https://www.weather.kke.co.jp/ 【For inquiries about the product, please contact us using the links below】 ■ If you send us the target prediction location, we will provide a free estimate: https://www.weather.kke.co.jp/estimates ■ We offer brochures, seminar materials, and usage examples for free: https://www.weather.kke.co.jp/request

  • others

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Demand forecasting system

Demand forecasting system

It is possible to realize a unique demand forecasting and sales planning system in a short period and at low cost.

It is possible to build a demand forecasting model tailored to your business, taking into account factors such as grouping of product categories, advertising, seasonality, and other events.

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A standard demand forecasting system used worldwide.

A standard demand forecasting system used worldwide.

It is the demand forecasting system (demand forecasting software) SmartForecasts, used worldwide.

◆This is an IT product eligible for IT introduction subsidies. ◆It has almost all the necessary functions for demand forecasting operations. ◆The discrete demand forecasting method (intermittent demand forecasting function) developed with sponsorship from the National Science Foundation has obtained a U.S. patent. ◆It is very easy to operate, excels in interactive format, and is a user-friendly system for end-users. ◆Since its launch in Japan in 2001, it has been utilized by many companies, from large enterprises to small and medium-sized businesses, achieving improvements in sales planning systems, inventory optimization, and optimal production planning.

  • Other production management systems
  • Purchasing Management System
  • Sales Management

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Demand Forecasting System for Small and Medium-sized Enterprises and Small Businesses

Demand Forecasting System for Small and Medium-sized Enterprises and Small Businesses

A demand forecasting system that allows small businesses to understand 'the likelihood of sales' and 'the necessary inventory levels' is available for free.

Demand Forecasting System CustomForecast It has been developed as an affordable and easy-to-use system to contribute to the sound management of small and medium-sized enterprises.

  • Other production management systems
  • Other information systems
  • Purchasing Management System

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[We accept inquiries for development] Development of cloud sea forecasting using AI technology.

[We accept inquiries for development] Development of cloud sea forecasting using AI technology.

"Will the sea of clouds be visible tomorrow?" Automatic forecast at least the day before.

The "sea of clouds," which can only be seen when multiple conditions such as weather conditions, humidity in the atmosphere, temperature changes, mainly during early morning hours, and elevation are met, lacks established prediction technology, making it difficult to witness even when one actually goes to the location. Therefore, we have developed a technology that utilizes AI (machine learning), which has rapidly advanced in recent years, to predict sea of clouds at local tourism spots. This technology can predict sea of clouds using only weather data from the Japan Meteorological Agency's AMeDAS, making it applicable anywhere in the country as long as there is an AMeDAS observation point nearby. Please feel free to consult us first. ■ Features - Predicts the probability of sea of clouds occurring over a relatively wide area (region) - Predictions can be made based solely on data publicly available from the Japan Meteorological Agency - A system equipped with weather data acquisition means and sea of clouds prediction means - Utilizes machine learning by computers - The prediction accuracy for model cases has a hit rate of up to 81.8%

  • Prototype Services

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PreSLump AI

PreSLump AI

AI predicts slump values from concrete mixing images! Accuracy rate over 90% with a tolerance of ±2.5cm.

"PreSLump AI" is an AI slump prediction system that predicts slump values with a simple structure. Quantitative predictions by AI are displayed in real-time. Operators do not need to perform any operations other than inputting the measured slump values. The system learns from the collected measured slump values and makes predictions. 【Benefits】 ■ Stabilization of quality ■ Reduction of manpower ■ Ability to evaluate all samples without depending on individual capabilities *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems

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Service parts, repair parts (spare parts, replacement parts) demand forecasting system

Service parts, repair parts (spare parts, replacement parts) demand forecasting system

Experts familiar with equipment management and data analysis across various industries provide support!

The "Service Parts and Repair Parts (Spare Parts, Replacement Parts) Demand Forecasting System" is a service that can handle data acquisition, management, and analysis using integrated functions. For the acquisition and management of defect information, we provide i-Reporter, FLiPS, and AiPOST. For data analysis and simulation, we offer Availability Workbench. Additionally, by integrating these tools, it is possible to quantitatively evaluate equipment utilization rates, maintenance cycle optimization, required spare parts quantity, lifecycle costs, and more. 【Features】 ■ Centralized management and visualization of projects through tools ■ Quantitative evaluation through simulation for areas previously reliant on intuition in the field ■ Intuitive user interface *For more details, please refer to the PDF materials or feel free to contact us.

  • Production Management System

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Electricity and Heat Load Forecasting System 'EPS 21'

Electricity and Heat Load Forecasting System 'EPS 21'

Achieving high-precision predictions regardless of the type of building or facility!

"EPS 21" is a groundbreaking forecasting engine that accurately predicts the load for electricity and thermal energy (cooling, heating, steam, hot water) using historical performance data. This enables strong support for new businesses in the fully liberalized electricity retail market. Additionally, this product can perform daily load forecasts with high accuracy using cluster analysis methods, without relying on weather information. [Features] ■ Achieves high-accuracy predictions regardless of the type of building or facility ■ Eliminates phase delays caused by mathematical methods ■ Wide applicability in the energy sector (electricity, cooling, heating, hot water, etc.) ■ Achieves high-accuracy predictions without weather information ■ Starts forecasting from the fifth day without long-term accumulation of measured data *For more details, please refer to the PDF materials or feel free to contact us.

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

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[Energy Business Development Case] Heat Demand and Supply Management System

[Energy Business Development Case] Heat Demand and Supply Management System

A case study of a heat demand forecasting system aimed at reducing unused waste heat and promoting efficient heat utilization!

We would like to introduce a case study on the development of a "Heat Demand Management System" for a waste treatment facility. This heat demand forecasting system aims to reduce unused waste heat and promote efficient heat utilization. It employs predictive technology using machine learning (deep learning) to forecast and notify about time slots where demand may exceed supply. Please feel free to contact us if you have any inquiries. 【Case Overview】 ■ Heat demand forecasting system aimed at reducing unused waste heat and promoting efficient heat utilization - Predictive technology using machine learning (deep learning) - Forecasts and notifies about time slots where demand may exceed supply (to managers, heat suppliers, and consumers) *For more details, please download the PDF or feel free to contact us.

  • Process Control System

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Forecasting and Recommendation AI "AIME-PRECOM"

Forecasting and Recommendation AI "AIME-PRECOM"

We have a track record in forecasting demand, inventory, and procurement across various industries, as well as in the used car market!

"AIME-PRECOM" is a solution that analyzes past data and various related time series data to identify trends and patterns, allowing for the prediction of future realizations and outcomes. It has a proven track record in various industries such as manufacturing, logistics, retail, and food service, providing forecasts related to demand, inventory, and procurement, as well as predictions for the used car market. Additionally, it is utilized for residual value predictions for used car dealerships and leasing companies, as well as for credit and value assessments and asset management in banks. 【Features】 ■ Analyzes past data and various related time series data ■ Identifies trends and patterns ■ Predicts future realizations and outcomes *For more details, please refer to the PDF materials or feel free to contact us.

  • Business Intelligence and Data Analysis

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[AI Implementation Case] Predicting Equipment Failures at Company B's Large Manufacturing Plant

[AI Implementation Case] Predicting Equipment Failures at Company B's Large Manufacturing Plant

To be able to predict equipment failures in advance! It is expected to contribute to stable production.

The operational data from Company B's large factory is diverse and truly constitutes big data. It was difficult for the on-site personnel alone to grasp the entirety of this vast and complex data and to capture abnormal data that indicates signs of failure. By combining the operational knowledge of the personnel with our data analysis technology, we created a model from the operational data that aids in failure prediction. As a result, it has become possible to predict equipment failures in advance, which is expected to contribute to stable production. *For more details, please refer to the related link page or feel free to contact us.

  • Other information systems

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Predictor: A Material Property Prediction System Using Machine Learning

Predictor: A Material Property Prediction System Using Machine Learning

To improve development efficiency - Reducing work interruptions while waiting for material test results.

The prediction of material properties using machine learning has finally been realized! "Predictor" is a material property prediction system that achieves high prediction accuracy by using the dataset from the material property database "Horizon" for training. It is the latest solution aimed at material experts.

  • Other information systems

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[Data] Manufacturing DX and Predictive AI

[Data] Manufacturing DX and Predictive AI

Utilizing various sensor data and equipment operation data as big data! Introducing AI that predicts anomalies.

This document introduces topics such as "anomaly prediction using big data" related to manufacturing DX and predictive AI. It includes examples of system configurations for predictive AI, various sensors for data collection, and a range of products for data collection and processing to manage and analyze production factories using MES (Manufacturing Execution Systems). If you are facing challenges with manufacturing DX or predictive AI, please feel free to consult with us. [Contents] ■ Manufacturing DX and predictive AI ■ Examples of system configurations using predictive AI ■ Products available for use in systems utilizing predictive AI *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis

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Igus's IoT life prediction system "i.Cee" that realizes predictive maintenance.

Igus's IoT life prediction system "i.Cee" that realizes predictive maintenance.

Predict the lifespan of cable carriers and robotic cables, realize IoT for moving parts, and implement predictive maintenance. Streamline preventive maintenance for manufacturing lines and cranes.

The igus smart plastic "i.Cee" system predicts the optimal replacement timing based on the usage conditions of movable parts such as cable carriers and robotic cables. It achieves IoT and predictive maintenance through sensors embedded in the components. **Lifetime Prediction Calculation System i.Cee** The lifetime prediction calculation system builds a system using sensors and software to calculate the service life while operating the equipment, allowing for the setting of optimal maintenance timing. i.Cee is the next step towards the implementation of a comprehensive smart Industry 4.0 system. Its goal is to maximize the safety of customer equipment and the lifespan of igus products. igus refers to the lifetime prediction calculation system as "i.Cee" (derived from "I see ahead"). If you have questions, want a direct explanation, wish to know how it can be used in actual lines, or would like to see the actual device, please feel free to contact igus. Meetings can be held either in person or online.

  • SMA_PROD_i.Cee_plus_II_2.jpg
  • SMA_GEN_basicflizz_i.Cee.jpg
  • Other cable related products
  • Other machine elements
  • Other safety equipment

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Software Process Load Forecasting System

Software Process Load Forecasting System

An ideal system that incorporates the needs of the times.

"Sakai Elcom" develops various software such as web application systems, measurement and control systems, control systems, production management systems, scheduling systems, and business management systems for various industries. Our company, which handles everything from software to hardware, proposes ideal systems that incorporate the needs of the times, with detailed market-oriented responses in planning, design, manufacturing, logistics, and management.

  • Other operation management software

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