Last Updated： Aggregation Period:Jul 08, 2026～Aug 04, 2026
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Jul 08, 2026～Aug 04, 2026
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Jul 08, 2026～Aug 04, 2026
This ranking is based on the number of page views on our site.
1～11 item / All 11 items
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.
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.
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.
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.
![[Energy Business Development Case] Heat Demand and Supply Management System](https://image.mono.ipros.com/public/product/image/ab6/2001531411/IPROS6829648883618399382.png?w=280&h=280)
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.
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.*
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.
Explaining data design and machine learning that supports order optimization.
From intuition and experience-based ordering to data-driven demand forecasting. How to create an AI system that predicts the "probability of selling" at the product level, including what data to use, what models to apply, and how to operate it. This article explains the key points of implementing and operating demand forecasting that combines sales performance, events, weather, and market attributes. For more details, please refer to the technical column in the related links.
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.
Create business ideas that contribute to demand adjustment from technological seeds.
In the energy industry, there is a demand to respond to fluctuations in electricity demand and maintain a stable supply. Particularly with the expansion of renewable energy adoption, balancing demand and supply has become crucial. Leveraging technological seeds to create new businesses that contribute to demand adjustment is key to solving this challenge. AI Diason will generate business ideas that contribute to demand adjustment from your technological seeds. 【Utilization Scenes】 - Development of a new energy management system utilizing electricity demand forecasting technology - Proposal of optimal electricity supply plans combining storage technology and AI - Building new business models to promote the adoption of renewable energy 【Effects of Implementation】 - Creation of new revenue sources leveraging technological seeds - Acquisition of competitive business ideas that align with market needs - Presentation of a concrete development roadmap towards commercialization
Utilization of IT to improve demand forecasting accuracy and enhance operational efficiency.
In the textile and apparel industry, demand forecasting that responds to market trend changes and seasonal fluctuations is crucial for optimizing inventory management and production planning. Particularly in the apparel sector, where demand variability is significant, accurate demand forecasting is essential. Uncertain demand forecasts can lead to excess inventory or stockouts, resulting in lost opportunities. Our IT utilization support enables highly accurate demand forecasting based on data, contributing to solving these challenges. 【Utilization Scenarios】 - Demand forecasting based on trend analysis - Integrated analysis of past sales data and market trends - Development of forecasting models considering seasonal fluctuations and events - Reflection in inventory optimization and production planning 【Effects of Implementation】 - Reduction of inventory loss - Decrease in lost opportunities - Improvement in production efficiency - Enhancement of customer satisfaction
