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Predictive Analytics Software Product List and Ranking from 4 Manufacturers, Suppliers and Companies | IPROS GMS

Predictive Analytics Software Product List

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AI：Prediction One

AI：Prediction One

As long as you have the data prepared, you can automatically perform advanced predictive analysis with just a few clicks, without needing specialized skills.

Predictive analytics is a data analysis method that uses statistical algorithms and machine learning to forecast future outcomes based on past performance, leading to increased efficiency in existing businesses and the creation of new businesses. For example... Recommended for: *****【Industries】***** ● Manufacturing Streamlining regular inspections that are labor-intensive by predicting equipment failures. ● Retail and Food Service Reducing excess inventory and cutting costs by utilizing customer traffic and sales forecasts. ● Call Center Operations Simplifying the creation of operator shifts by predicting incoming call volumes. ● Real Estate Dramatically improving operational efficiency by predicting real estate transaction prices. *****【Fields】***** ● Sales and Marketing Implementing effective approaches by predicting conversion rates from customer data. ● Customer Support Automatically classifying vast amounts of customer feedback, making it easier to grasp overall trends. ● Human Resources Realizing tailored HR measures for each individual by predicting the behavior of employees and job candidates. ● Production Management Eliminating opportunity losses through shipment volume forecasting.

  • Business Intelligence and Data Analysis
  • CTI Support Center
  • Other information systems
  • Predictive Analytics Software

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Smart factory: Utilizing data with machine learning to reduce risks in the manufacturing industry.

Smart factory: Utilizing data with machine learning to reduce risks in the manufacturing industry.

Tools to enhance efficiency in manufacturing sites! Four key points to realize a smart factory.

In the manufacturing field, many initiatives are being undertaken to achieve overall optimization for efficient management. Altair's predictive analytics tool using machine learning, "Altair Knowledge Studio," has supported the realization of smart factories in numerous factories to date. It is a tool that enhances the efficiency of manufacturing sites by identifying hidden anomalies and providing insights for the next level of monitoring and maintenance of manufacturing assets. This document introduces the "Knowledge Studio" solution that utilizes operational data throughout the entire data lifecycle of the manufacturing site to achieve risk reduction and productivity improvement. We encourage you to read it. [Contents] ■ Improving manufacturing systems with predictive maintenance analysis and machine learning ■ Four key points to realize smart factories with "Altair Knowledge Studio" *For more details, please refer to the PDF document or feel free to contact us.

  • Software (middle, driver, security, etc.)
  • Other embedded systems (software and hardware)
  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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What is AI predictive analysis? Explanation of its mechanism, use cases, and implementation benefits.

What is AI predictive analysis? Explanation of its mechanism, use cases, and implementation benefits.

You can understand the basic mechanism of AI predictive analysis, examples of its use in companies, and the benefits gained from its implementation.

AI predictive analysis is an innovative method that utilizes vast amounts of data to forecast future trends, enhancing the accuracy of decision-making and strategic planning. However, many may be struggling with questions like, "I don't understand the difference between AI prediction and analysis" or "I can't see how to utilize it in my company." This article will provide a detailed explanation of the basic mechanisms of AI predictive analysis, examples of its application in businesses, and the benefits gained from its implementation. Understanding the effects of introducing AI prediction and analysis will serve as a step towards clarifying how to utilize it in daily operations and management decisions. *For more detailed content of the blog, you can view it through the related links. For more information, please feel free to download the PDF or contact us.*

  • Other operation management software
  • Predictive Analytics Software

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The effects of issues and predictive analysis.

The effects of issues and predictive analysis.

The application range of predictive analysis is broad, and it can be utilized in various situations such as human resources and research and development.

I will explain common challenges and the effects of predictive analysis. For example, in the HR challenge of "wanting to increase employee vacation uptake," I would like to implement preliminary support such as "promoting vacation uptake." In this case, it is possible to streamline the process by predicting "employees who are likely to miss their targets." In this way, predictive analysis can be utilized in various situations, such as predicting equipment failures, sales activities, and marketing. 【Utilization Areas】 ■ Human Resources / Research and Development ■ Planning / Design ■ Procurement ■ Manufacturing ■ Marketing / Sales *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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About the features of Prediction One.

About the features of Prediction One.

Simple and easy, understand the reasons behind predictions! Even non-technical employees can perform advanced predictive analysis.

We would like to introduce the features of "Prediction One," which can perform advanced predictive analytics. Even without expertise or experience in predictive analytics, it can be easily and smoothly utilized, requiring only 6 clicks from learning to analysis, with a processing wait time of 4 minutes. The impact of each item is visualized, making the reasons for predictions clear. Additionally, it can operate in various environments. 【Features】 ■ Simple and easy to use ■ Understandable reasons for predictions ■ Operates in various environments *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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[Case Study] SRE Holdings Corporation

[Case Study] SRE Holdings Corporation

Predict the strength of each customer's needs from the data! Streamline sales activities and achieve an increase in contract acquisition rates.

We would like to introduce a case study of the implementation of "Prediction One" at SRE Holdings Corporation. The company was unable to achieve efficiency because each organization independently determined the criteria for selecting customers to approach based on their own experiences. As a result of the implementation, it became possible to predict the strength of each customer's needs from the data, allowing for the selection of customers to approach as a priority. 【Case Overview (Partial)】 ■Challenges - Each organization independently judged the criteria for selecting customers to approach - Efficiency was not achieved ■Problem Setting for Predictive Analysis - We want to predict the completion of transactions for each customer based on past consulting performance data *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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[Case Study] Sumitomo Heavy Industries Ion Technology Co., Ltd.

[Case Study] Sumitomo Heavy Industries Ion Technology Co., Ltd.

Introducing examples of decision-making based on the concept of Human-in-the-Loop.

We would like to introduce a case study of the implementation of "Prediction One" at Sumitomo Heavy Industries Ion Technology Co., Ltd. The company faced challenges such as time-consuming analysis, the inability to perform the same tasks without experience, and differing analysis results among employees. After the implementation, they significantly reduced analysis time and were able to quickly prepare accurate data for discussions. 【Case Overview】 ■Challenges - Personalization of analysis tasks - Creating an environment that allows focus on value-added tasks ■Effects - The time previously spent on predictions was replaced by AI, increasing the time available to delve deeper into issues. *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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[Case Study] Sony Assurance Inc.

[Case Study] Sony Assurance Inc.

Improve the accuracy of call center incoming call forecasts! Contribute to the optimization of operator shift assignments.

Sony Insurance Co., Ltd. has implemented "Prediction One" to solve its challenges. The company considers improving the accuracy of call volume predictions to be a key cost issue, as the number of incoming calls directly affects the adjustment of operator shifts. When comparing the results of past predictions made by staff, it was found that predictions made with this product were more accurate, contributing to the optimization of operator shift assignments. [Case Overview] ■Challenge - Improving the accuracy of call volume predictions is a key cost issue. ■Problem Setting for Predictive Analysis - Based on past actual data of incoming calls, we want to predict the number of calls for each day and time period. ■Results - Contributed to the optimization of operator shift assignments. *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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[Case Study] Bell System 24, Inc.

[Case Study] Bell System 24, Inc.

Adopted as part of in-house DX! Objective and high predictive analysis of each KPI is now possible.

We would like to introduce a case study of the implementation of "Prediction One" at Bell System 24, Inc. The company was utilizing Excel for data analysis but faced challenges in handling large volumes of data, which led to the implementation of the solution. As a result, they were able to conduct highly accurate analyses of the "connection rate," which measures whether customers were successfully connected by phone, and it received positive feedback from the field. 【Implementation Overview (Partial)】 ■Challenges - They were using Excel for data analysis but were unable to handle large volumes of data. - Call volume forecasting was based on experience and remained subjective. ■Problem Setting for Predictive Analysis - To eliminate subjectivity, they wanted to objectively predict and analyze each KPI from past data. *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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[Case Study] Sunstar Inc.

[Case Study] Sunstar Inc.

Utilized in R&D material development! Introducing examples of promoting business efficiency and rapid product development.

We would like to introduce a case study of the implementation of "Prediction One" at Sunstar Inc. The company had a challenge of wanting to reduce the time, effort, and costs associated with preservative efficacy testing. After implementation, they promoted operational efficiency and rapid product development. 【Case Overview】 ■Challenge - Reduction of time, effort, and costs associated with preservative efficacy testing ■Effect - Promotion of operational efficiency and rapid product development *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Predictive Analytics Software

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