AI：Prediction One

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last updated：Dec 11, 2019

エスシステム

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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.

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basic information

Features ● Easy to use even without skills in machine learning or programming ● Achieves high implementation effects due to high prediction accuracy ● Understandable, explainable, and actionable based on prediction reasons ● Can be operated on a personal computer, allowing for handling of confidential data Main Functions ● Basic Functions 　－ Binary classification 　－ Multi-class classification 　－ Numeric prediction (regression) ● Machine Learning 　－ Training and evaluation 　－ Prediction ● Supported Data 　－ Tabular data (numbers, strings, text, dates)

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Applications/Examples of results

● Direct Marketing & CRM Customer behaviors such as conversions and cancellations Improve ROI through customer segments based on predictions ● Field Sales Customer behaviors such as contracts Prioritize visits to customers with a high probability of contracting to improve efficiency ● Matching & Recommendations Customer behaviors such as purchases Present products with a high probability of purchase to customers to increase sales ● Demand Forecasting Forecasting demand Utilize forecasts to improve the accuracy of production planning ● Call Center Incoming Call Forecasting Forecasting the number of incoming calls Improve the accuracy of operator allocation based on incoming call forecasts ● Text Classification Classification of complaints and reports Reduce the labor involved in classification ● Human Resources Forecasting performance and turnover Improve employee performance and prevent turnover ● Risk Estimation & Assessment Default prediction Improve the accuracy of assessments and automate the process ● Failure Prevention Predicting failures Prevent failures of manufacturing equipment and other machinery in advance ● Fraud Prevention Detection of fraud Predict and prevent fraud before it occurs