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Data Intelligence

Integration of AI Technology
and Digital Experience

We lead business innovation by combining AI technology with digital experience.

Forecasting and Optimization of Time Series Data

By analyzing various time series data, we predict the patterns of future fluctuation
and explore how to derive optimal results by using efficient models.

  • Prediction of Manufacturing Process Value

    By using various time series data, we predict changes in major variables that occur in the manufacturing process in advance, thereby maximizing production efficiency.

  • Detection of Time Series Anomaly

    Using machine learning models, we can quickly detect abnormal patterns or abnormal signs, thereby increasing the safety and reliability of the system.

  • Volume Prediction

    We predict future logistics flow based on past volume data, thereby supporting optimization of logistics operation and cost reduction.

  • Prediction of Sales Price for Raw Materials

    By combining market data and time series analysis technique, we predict the sales price of raw materials and help companies make decisions on purchasing strategies and inventory management.

Classification of Category

We improve the efficiency of managing standard information with AI technology that predict non-standard product name categories and standard information for master product names in online malls, sales systems, etc.

  • Search/Mapping of Similar Products

    By categorizing the registered product into large/medium/small categories automatically, we allow automatic searches for products based on product name and similarity of category.

  • Automatic Classification of Product Category

    By categorizing product categories based on product names, we increase the efficiency of managing product metadata.

Search/mapping of similar products

  • Invoice data / Product data (crawling)
  • Text Processing Text Processing
  • Neural Networks for Sequential Data / Language Model
  • Automatic product search

Automatic classification of product categories

  • Text Analystics / Image Classification
  • AI Model
  • Product Category / Fit Products
  • Product DB

Research
papers

  • Jihwan Woo et al., Exploring Time Series Data Information Extraction and Regression using DTW based kNN

    DownloadDownload

Patent
applications

  • 10-2078282, Invoice Category Classification Automation System Using Deep Learning Technology

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1. Purpose: Provision of responses for customer inquiries and management of inquiry status
2. Collection Items: Name, contact information, e-mail address, company
3. Retention Period: For 36 months from the date on which the consent is given

You have the right to refuse to provide consent to the collection and use of your personal information. However, please note that if you fail to provide consent, the submission of your inquiry will be restricted.

※ CJ OliveNetworks does not collect the personal information of a minor under the age of 14.

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* You can send up to 10 MB in attachments. Supported file formats: zip, pdf, hwp, ppt, pptx, doc, docx, xls, xlsx, jpg, jpeg, png, gif

Consent to the Collection and Use of Personal Information (Required)

1. Purpose: Provision of responses for customer inquiries and management of inquiry status
2. Collection Items: Name, contact information, e-mail address, company
3. Retention Period: For 36 months from the date on which the consent is given

You have the right to refuse to provide consent to the collection and use of your personal information. However, please note that if you fail to provide consent, the submission of your inquiry will be restricted.

※ CJ OliveNetworks does not collect the personal information of a minor under the age of 14.