CLICK AI TIME SERIES™

It automates the development of sophisticated time series models that predict the future based on the trend of accumulated data over time.
This improves efficiency through sales volume, product demand according to SKU, manpower, inventory, and various financial forecasts, regardless of the size of the enterprise.

Time Series Data


The goal of time series modeling is to predict future performance from past behaviors, such as forecasting revenue over the holiday season, predicting the number of employees needed for the coming week, or meeting manufacturing demand without overstocking. The present is an influence from the past, and the present is an influence on the future. Data analysis, including this flow of time, is very demanding and difficult.

Time Series Analysis/Prediction based on CLICK AI TABULAR™


CLICK AI TABULAR™ is specialized in time series analysis/forecasting by automating functions for processing time series variables based on CLICK AI TABULAR™. A variety of specialized features for time series prediction/analysis are added to make it easier to use.

Set the time series analysis unit

For analysis/forecasting of time series data, it is most important to set the appropriate time units, from precise minute unit analysis to monthly trend analysis, depending on the data.

Generate a prescriptive analysis report

Based on deep learning-based data analysis results, it automatically generates a prescription analysis report based on the top three values that are most affected by forecasts to find a solution from a business perspective.

Explainable AI

It outputs a column that is highly relevant to the forecast with descriptive AI (eXplainable AI). This allows non-experts to intuitively understand the analysis results and plan the necessary behavioral strategies to achieve their goals.

Provide in-depth analysis results

Based on analysis results, recommended visualizations such as distribution charts, histograms, and boxplots are automatically generated and provided for deeper expert data analysis.

Forecast the analysis-based data

After data analysis, deep learning-based AI is able to predict data based on the analysis results. The results of the analysis determine the direction and the predictions can be used to prepare for concrete action.

Time Series Analysis/Prediction based on CLICK AI TABULAR™


CLICK AI TABULAR™ is specialized in time series analysis/forecasting by automating functions for processing time series variables based on CLICK AI TABULAR™. A variety of specialized features for time series prediction/analysis are added to make it easier to use.

Set the time series analysis unit

For analysis/forecasting of time series data, it is most important to set the appropriate time units, from precise minute unit analysis to monthly trend analysis, depending on the data.

Generate a prescriptive analysis report

Based on deep learning-based data analysis results, it automatically generates a prescription analysis report based on the top three values that are most affected by forecasts to find a solution from a business perspective.

Explainable AI

It outputs a column that is highly relevant to the forecast with descriptive AI (eXplainable AI). This allows non-experts to intuitively understand the analysis results and plan the necessary behavioral strategies to achieve their goals.

Provide in-depth analysis results

Based on analysis results, recommended visualizations such as distribution charts, histograms, and boxplots are automatically generated and provided for deeper expert data analysis.

Forecast the analysis-based data

After data analysis, deep learning-based AI is able to predict data based on the analysis results. The results of the analysis determine the direction and the predictions can be used to prepare for concrete action.

Forecast the agricultural price

Prices of agricultural products change with demand and supply changing over a certain period of time, and it is important to predict price changes accordingly. Time series data forecasts allow you to analyze agricultural products' price volatility over time and adjust supply volume to meet demand.  

Predict the fluctuation of stock price

Stock price data is one of the most important data in time. You can learn historical variation trends to predict future variability.

Optimize inventory costs

Inventory management of seasonal products is the most important part of optimizing administrative costs. Time series forecasts help you predict inventory variability and establish a more accurate inventory management strategy.

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We solve problems in business by creating artificial intelligence suitable for the industry such as customer analysis / marketing / insurance.


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CLICK AI Success Program

Artificial intelligence increases the accuracy of decision-making needed for management such as sales / marketing / inventory management / human resource management, and enables unlimited introduction of artificial intelligence for your industry.