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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 require daily effort 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 operator shift creation 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 easy 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.

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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 prior follow-ups such as "promoting vacation uptake." In this case, it is possible to streamline the process by predicting "employees who will not meet their goals." In this way, predictive analysis can be utilized in various situations such as predicting equipment failures, sales activities, and marketing. 【Utilization Scenarios】 ■ 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.

  • Traffic flow analysis system

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About the features of Prediction One.

About the features of Prediction One.

Simple and easy, with understandable reasons for predictions! Even employees from non-technical backgrounds 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.

  • Store Analysis System

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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 improve contract acquisition rates.

We would like to introduce a case study of the implementation of "Prediction One" at SRE Holdings Corporation. The company had not been able to streamline its processes because each organization was independently determining the criteria for selecting customers to approach based on their own experiences. As a result of the implementation, they were able to predict the strength of each customer's needs from the data, allowing them to prioritize which customers to approach. [Case Overview (Partial)] ■Challenges - Each organization was independently determining the criteria for selecting customers to approach - Inefficiencies were present ■Problem Setting for Predictive Analysis - We wanted 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.

  • Store Analysis System

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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 scheduling.

Sony Insurance Co., Ltd. has implemented "Prediction One" to solve its challenges. The company has identified that the number of incoming calls directly affects the adjustment of operators' shifts, making the improvement of incoming call prediction accuracy a crucial cost-related theme. 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 operators' shift assignments. [Case Summary] ■Challenge - Improving the accuracy of incoming call predictions is a key cost-related theme. ■Prediction Analysis Problem Setting - Based on past data of incoming call numbers, we want to predict the number of incoming calls for each day and time slot. ■Results - Contributed to the optimization of operators' shift assignments. *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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[Case Study] AGC Inc.

[Case Study] AGC Inc.

Implemented changes to the tool's operation method! Achieved a reduction in the burden on the department responsible for unforeseen resource issues.

At AGC Inc., as part of our internal DX initiatives, we adopted 'Prediction One' to implement changes in the operation of tools, thereby reducing the burden on the DX department. Before the implementation, the DX department lacked sufficient resources to promote internal DX. As a result of introducing this product, while some preprocessing was implemented by the DX department, subsequent changes could be made by the on-site personnel themselves, allowing for a change in operations. [Implementation Overview (Partial)] ■Challenges - The DX department lacked sufficient resources to promote internal DX. ■Problem Setting for Predictive Analysis - We wanted to promote DX with a tool that anyone could easily use. *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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[Case Study] YKK AP Corporation

[Case Study] YKK AP Corporation

Improving accuracy further with AI implementation! Introducing examples of startup programs that have been conducted.

We would like to introduce a case study of the implementation of "Prediction One" at YKK AP Corporation. The company felt challenged by the fact that predictions were becoming personalized, leading to differences in operational efficiency and accuracy among the staff members. The error rate during the trial period was less than 10%. Moving forward, we will verify the gaps between the predictions made by the staff responsible for operations on-site. 【Case Overview】 ■Challenges - Personalization of operations based on experience, intuition, and courage - Concentration of operational burden due to high levels of personalization ■Effects - Error rate of less than 10% during the trial implementation *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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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 and introduced the solution to address the challenge of handling large volumes of data. As a result, they were able to conduct highly accurate analysis regarding 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 using historical data. *For more details, please refer to the PDF document or feel free to contact us.

  • Traffic flow analysis system

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