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Data Science

Convergence of AI technologies
and digital experience

We drive business innovation powered by the convergence of
AI technologies and digital experience.

Recommendation

Providing the services you want now.
We conduct extensive research in data science to identify individual interests based on user preferences and past behaviors and utilize them for content recommendations, product recommendations, news recommendations, and search systems.

Recommendation Process

Recommendation Process

Optimization

Data science also makes it possible to find the optimal solution under certain conditions, such as the optimal path and optimal layout.
It is widely used in various fields, such as production and inventory management, equipment and facility layout, production process management, transportation network planning, and resource management.

Optimization Algorithm Example

Optimization Algorithm Example

Data science has a wide variety of uses.

B2B product recommendation

Deliver differentiate food product ordering experience to your customers with AI-you can provide a customized ordering service as well as drive purchases.

With AI-based clustering, the latent characteristics of B2B customers can be identified, and flexible food material recommendations can be made using AI-based recommendation algorithms.

B2B product recommendation

Customized outdoor advertising

AI recommends optimized advertisements and helps increase the effectiveness of your advertising campaign.
AI recommends optimized advertisements for both advertisers and customers based on objective data such as gender, age, and foot traffic.

Customized outdoor advertising

Personalized recommendation service for customers

It is possible to increase the number of customers who visit the product detail page by providing the optimal recommendation solution for each step up to the customer's final purchase, which can increase the conversion rate across all categories and facilitate cross selling and upselling, contributing to overall sales growth.

Personalized recommendation service for customers

Recipick, food and recipe recommendation engine

Using deep learning utilizing specialized food data, recipes based on customer preferences are provided.
By learning customer profiles, food preferences, recently used services, and ingredients in the refrigerator, AI suggests dishes and recipes optimized for the moment.

Recipick, food and recipe recommendation engine

Optimization of cart movement

We optimize the movement of carts for product picking in the logistics warehouse for fast shipping of shopping mall products.
The order and work history of each cart and movement mapping data are linked with the smart cart display to facilitate quick product picking.

Optimization of cart movement

Research
papers

  • Taekhee Jeon et al., 2021, “A Customized OTT Content Recommendation Service Based on TF-IDF and DeepFM,” 2021 Fall Conference of the Korea Society of IT Services 

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  • Suphil Cho et al., 2021, “Demand Prediction Based Online Shopping Mall Price Optimization using TFT,” 2021 Fall Conference of the Korea Society of IT Services 

Patent
applications

  • 10-2021-018614 Method for Providing User-Customized Content Recommendation Service and Device Therefor, application
  • 10-2021-0181538 Food Material Recommendation Method Using Deep Learning-Based User Segmentation and Computing Device for the Same, application
  • 10-2021-0142952 Outdoor Advertising Medium Recommendation Method Using Artificial Intelligence Algorithm and Service Server for the Same, application

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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 (affiliation)
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.