We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Prediction System.
ipros is IPROS GMS ・ IPROS One of the largest technical database sites in Japan that collects information on.

Prediction System Product List and Ranking from 28 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

Prediction System Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
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. Total Materia AG Switzerland//software
  3. AI CROSS Tokyo//Information and Communications
  4. 4 構造計画研究所 Tokyo//software
  5. 5 日本シーアイオー 本社 Osaka//others
Go to Company Ranking

Prediction System Product ranking

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
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. Predictor: A Material Property Prediction System Using Machine Learning Total Materia AG
  3. Comparison of 18 Recommended Demand Forecasting Systems! Explanation of the Benefits of Implementation. AI CROSS
  4. 4 Real-time Flood Forecasting System RiverCast 構造計画研究所
  5. 4 A standard demand forecasting system used worldwide. 日本シーアイオー 本社

Prediction System Product List

1～30 item / All 30 items

Displayed results
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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.

  • others
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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.)
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[RPA Case Study] Shift Personnel Number Forecasting Business

[RPA Case Study] Shift Personnel Number Forecasting Business

By standardizing the creator's experience and automating tasks, we can reduce the workload of the person in charge!

We would like to introduce a case of automating shift personnel number forecasting using RPA. Since the work relied on the creator's experience, the number of workers was limited, and due to manual processing, there were work mistakes and costs involved. Therefore, we updated multiple Excel files based on Excel data. We accumulated and analyzed past performance to forecast the number of shift personnel. As a result, we were able to systematize the creator's experience, allowing anyone to handle the tasks without mistakes, achieving a reduction in man-hours of over 80%. 【Overview of RPA Implementation】 ■ Updated multiple Excel files based on Excel data ■ Accumulated and analyzed past performance to forecast the number of shift personnel *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems
  • Process Control System
  • Other production management systems
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
Comparison of 18 Recommended Demand Forecasting Systems! Explanation of the Benefits of Implementation.

Comparison of 18 Recommended Demand Forecasting Systems! Explanation of the Benefits of Implementation.

You can understand the criteria for decision-making regarding the introduction, from the basics of the demand forecasting system to how to choose one.

Demand forecasting systems support the optimization of inventory management, production planning, and marketing strategies by predicting future demand based on past data. In particular, those utilizing AI are becoming essential tools for many companies due to their high accuracy and rapid analysis capabilities. This article will provide a detailed explanation of the fundamentals of demand forecasting systems, specific use cases, the benefits of implementation, and recommended systems. *For more detailed content of the blog, please refer to the related links. For more information, you can download the PDF or feel free to contact us.*

  • Other operation management software
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
Technical Data: Lithium-ion Battery LIB-12

Technical Data: Lithium-ion Battery LIB-12

We estimate the lifespan of lithium-ion batteries for the next 10 years based on storage test data.

AKTS Corporation's Thermokinetics can predict lifespan from accelerated test data using reaction kinetics and the Akaike Information Criterion. The storage test for lithium-ion batteries is also an accelerated test, estimating the capacity retention rate 10 years into the future from data on battery capacity retention rates. Instead of estimating lifespan using conventional methods, we calculate the degradation reaction model and its activation energy from the obtained measurement data. From the obtained reaction kinetics parameters, we can derive capacity retention rate curves for various time and temperature environments. 【Features】 ■ Temperature levels: 3 examples: 20, 40, 55°C; capacity retention rate data can estimate the capacity retention rate 10 years into the future from 30 to 40 measurement data points. ■ The estimated capacity retention rate curve is provided with a 95% prediction interval using the bootstrap method. ■ The degradation reaction equation and activation energy can be determined. *For more details, please refer to the PDF document or feel free to contact us.

  • Other measurement, recording and measuring instruments
  • Lithium-ion battery
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
Comprehensive Weather GIS Platform 'Amatellus'

Comprehensive Weather GIS Platform 'Amatellus'

On-site professionals provide "truly usable" high-resolution weather information! NETIS registration number [KT-220169-VE]

NETIS Registration Number: [KT-220169-VE] "Amatellus" is a comprehensive weather GIS service for business use. It has been highly evaluated by major companies nationwide for its effectiveness in making decisions about the execution or interruption of work, safety management, and process management at various sites affected by weather. To date, it has been adopted at over 1,500 construction sites across the country. In April 2024, it will be registered as NETIS-VE, and it will also be useful for scoring evaluations in technical proposal materials under the categories of "Construction Characteristics" and "Creativity" at construction sites of the Ministry of Land, Infrastructure, Transport and Tourism and NEXCO. "Amatellus" is a weather forecasting system uniquely developed for professionals and is not available to the general public. It can predict weather changes at designated locations with a fine mesh interval of 1 km for up to 75 hours in advance. It visually represents forecasts of rain, snow, weather, wind direction and speed, lightning, temperature, heat index, freezing, water level, waves, humidity, and past weather on a map. With an update frequency as short as every 5 minutes, it can predict sudden weather changes such as guerrilla rainstorms and sends alert notifications (push notifications or emails).

  • Other information systems
  • Other operation management software
  • Process Control System
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
MATAS (Maintenance Timing Assist System)

MATAS (Maintenance Timing Assist System)

Predicting equipment failures in solar power generation systems! Minimizing power generation losses through proactive maintenance.

"MATAS" has been adopted and demonstrated in the verification of advanced security technology for the fiscal year 2017. It is a system that diagnoses the degradation trends of power generation equipment using a unique computational algorithm, contributing to the reduction of power generation losses. It predicts equipment failures in solar power generation systems and minimizes power generation losses through proactive maintenance. The predictive diagnostics will be expanded from PCS to solar cell strings. (Verification of advanced security technology) [Features] - Achieved a 95% accuracy in detecting string degradation trends with MATAS + AI analysis. - Efficiently filters effective data using accumulated historical data. - Clustering with machine learning functions allows for better grouping and identification tailored to the environment. - The detection accuracy is improved by combining time series analysis, which senses changes over time to predict degradation trends. *For more details, please refer to the PDF document or feel free to contact us.

  • Solar power generator
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
Gaze Prediction System "Gaze Simulation AI"

Gaze Prediction System "Gaze Simulation AI"

A gaze simulation service that can estimate people's gaze without the need for eye-tracking devices!

"Usagee Gaze Simulation AI" is an advanced AI that deeply learns human gaze, providing a gaze simulation service that can obtain objective data. It can analyze not only images but also videos. It addresses challenges in design work such as "not knowing where customers are focusing" and "wanting theoretical persuasive materials for clients." 【Features】 ■ Visualizes customer gaze that was previously unknown ■ Provides convincing hypothesis proposals using IT tools ■ Easily analyzes competitor designs with just one image *For more details, please download the PDF or feel free to contact us.

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

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[BizForecast Case Study] Kitz Corporation

[BizForecast Case Study] Kitz Corporation

Execute projects without anxiety with generous support! Improvements in cost, convenience, and system flexibility.

We would like to introduce a case where Kitz Corporation implemented "BizForecast" as part of their IT strategy, considering the replacement of their sales and expense planning and forecasting system. The company was experiencing delays in screen navigation and operations, which impacted their business. They faced various challenges, including unclear UI and cost issues. After implementation, although the business content itself did not change due to the "straight conversion," there were significant improvements in cost, convenience, and system flexibility. 【Case Overview】 ■ Challenges - Maintenance costs, as well as costs for system modifications, were urgent. - The sales and expense planning and forecasting involved processing large volumes of data, leading to delayed responses that affected business operations. ■ Implementation Effects - Processing time reduced from 3 minutes to 10 seconds. - The significant increase in processing speed transformed negative feelings towards the system into positive ones. *For more details, please download the PDF or feel free to contact us.

  • Other operation management software
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[Case Study] Customer Behavior Prediction System

[Case Study] Customer Behavior Prediction System

Predict customer next actions from a large volume of purchase and browsing logs, and enhance personalization strategies!

We would like to introduce a case of developing a "Customer Behavior Prediction System" at our company. During the development, we faced challenges such as time series modeling of user behavior and personalization. To overcome these, we implemented time series analysis models, stream processing infrastructure, and privacy protection methods. 【Technical Challenges】 ■ Time series modeling of user behavior and personalization ■ High-frequency real-time data processing and model updates ■ Design considerations for privacy and personal information protection *For more details, please download the PDF or feel free to contact us.

  • SFA/Sales Support System
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
What is a demand forecasting system that helps with inventory management?

What is a demand forecasting system that helps with inventory management?

Introducing the benefits of implementation and case studies! We will explain the basics of logistics.

A demand forecasting system is a system that predicts market demand based on past performance, enabling inventory management without surplus or shortage. Previously, forecasts were made based on the experience and intuition of the person in charge, but with the diversification of needs today, analysis using systems is required. This article introduces the overview of demand forecasting systems, forecasting methods, and the benefits of implementation. It will also cover demand forecasting using AI, so please read it together. *For detailed content of the article, you can view it through the related links. For more information, please feel free to contact us.

  • Other production management systems
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[DX Development Case] Development of Sales Forecasting System

[DX Development Case] Development of Sales Forecasting System

A case where waste loss was reduced, and inventory management efficiency and sales forecasting accuracy improved!

We would like to introduce a case study of the development of a sales forecasting system for the retail industry. The implementation of this system resulted in a 40% improvement in inventory management efficiency, a 35% increase in sales forecasting accuracy, and a 25% reduction in waste loss. Please feel free to contact us if you are interested. 【Effects】 ■ 40% improvement in inventory management efficiency ■ 35% increase in sales forecasting accuracy ■ 25% reduction in waste loss *For more details, please download the PDF or feel free to contact us.

  • Software (middle, driver, security, etc.)
  • Purchasing Management System
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
AI Deason for Agriculture

AI Deason for Agriculture

Create business ideas that contribute to harvest forecasting from technological seeds.

In the agricultural sector, improving the accuracy of yield forecasts is essential for stabilizing management and efficiently allocating resources. Especially in the context of increasing risks from climate change and pests and diseases, accurate predictions lead to appropriate measures and maximization of profits. AI Deason will utilize your technological seeds to create business ideas that contribute to harvest forecasting. 【Utilization Scenarios】 - Analysis of agricultural data - Development of growth prediction models - Early detection of pest and disease risks 【Effects of Implementation】 - Optimization of yield - Reduction of production costs - Strengthening of risk management

  • EAI/ETL/WEB application server
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[For Agriculture] RTS (Responsive Tightening System)

[For Agriculture] RTS (Responsive Tightening System)

Equipped with 40 torque levels, 7 flash levels, and dual speed!

In the agricultural sector, yield forecasting is essential for planned production and efficient resource allocation. To achieve accurate yield predictions, it is necessary to thoroughly understand the growth conditions of crops and perform necessary tasks at the appropriate timing. However, traditional measurement methods have posed challenges due to their labor-intensive and time-consuming nature. The RTS (Responsive Tightening System) enables precise data collection and analysis, contributing to improved accuracy in yield forecasting. 【Application Scenarios】 - Monitoring crop growth conditions - Predicting harvest timing - Optimizing yield 【Effects of Implementation】 - Maximization of yield - Improvement of work efficiency - Reduction of wasted resources

  • 1.PNG
  • 2.PNG
  • 3.PNG
  • 4.PNG
  • 5.PNG
  • 6.PNG
  • 7.PNG
  • 8.PNG
  • 9.PNG
  • Other work tools
  • Power tools
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
Neuro AI

Neuro AI

The types of emotions, which were only 7 kinds, have been subdivided into 22 kinds! Real-time emotion prediction can be done through facial expressions and eye movements.

Roboken Inc. is engaged in AI development inspired by neuroscience. "NeuroAI" contributes to improving the quality of corporate HR strategies. By achieving real-time emotion prediction through facial expressions and eye movements, we have expanded the types of emotions from the traditional 7 to 22. Combining this with brainwave analysis allows for high-precision emotion analysis. 【Features】 ■ Real-time emotion prediction through facial expressions and eye movements ■ High-precision emotion analysis made possible by combining with brainwave analysis ■ Broad deployment prioritized based on market size, growth potential, and needs in areas beyond HR *For more details, please refer to the PDF document or feel free to contact us.

  • Other core systems
  • Other information systems
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
Flood AI Prediction System

Flood AI Prediction System

Predicting future flooding risks with AI to ensure safety.

The Flooding AI Prediction System is an advanced AI system that predicts the water levels of nearby rivers during heavy rainfall and assesses the risk of flooding. It supports countermeasure plans based on various scenarios for local governments, insurance companies, and more. The system utilizes terrain data, river water level data, rainfall data, and continuously improves prediction accuracy through reinforcement learning. With intuitive operation and a simple implementation process, immediate effects can be expected. This contributes to the acceleration of evacuation instructions and the strengthening of flood prevention measures, helping to build a safer society. 【Challenges】 ● It is difficult to predict when and to what extent the nearest river will rise during heavy rainfall. ● There is no information on how much rain needs to fall on the nearest river for flooding to occur. ● During river flooding, it is unclear how much and for how long buildings will be inundated, making it hard to determine the timing of evacuation. 【Features】 ● Advanced predictions utilizing the latest technology. ● Visual data that allows for intuitive understanding of flooding risks. ● Support for countermeasure plans based on various scenarios. ● Continuous accuracy improvement through reinforcement learning. 【Implementation Method】 (1) Input terrain, river water level, and rainfall data. (2) Simulate and analyze flooding and water levels. (3) Propose disaster prevention measures and issue evacuation recommendations.

  • Other environmental analysis equipment
  • Other measurement, recording and measuring instruments
  • Prediction System

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
COPYRIGHT © 2001-2026 IPROS CORPORATION ALL RIGHTS RESERVED.