Naver CLOVA

Step 1: Collect user behavior data, including purchase history and browsing activity.

Step 2: Utilize HyperCLOVA X to analyze user preferences and identify relevant product attributes.

Step 3: Generate personalized product recommendations based on the analysis.

Step 4: Display the personalized recommendations to users on the Naver Plus Store platform.

Step 1: Gather student performance data and learning history.

Step 2: Apply HyperCLOVA X to analyze the data and identify individual learning gaps and preferences.

Step 3: Generate personalized learning recommendations and consulting advice.

Step 4: Deliver the recommendations to students and educators through the Tugboat platform.

Step 1: Collect advertising campaign data and performance metrics.

Step 2: Use HyperCLOVA X to analyze the data and identify optimal ad targeting and content strategies.

Step 3: Generate customized Naver search ads based on the analysis.

Step 4: Deploy and manage the ads through the HelloMax platform.

Step 1: Ingest public data into the chatbot's knowledge base.

Step 2: Train the chatbot using HyperCLOVA X to understand user queries related to the data.

Step 3: Deploy the chatbot on the Seoul Data Hub platform.

Step 4: Allow citizens to ask questions and receive relevant data insights.

Step 1: Gather and organize information on business support programs available in Kyonggi province.

Step 2: Implement HyperCLOVA X to understand business needs and match them with appropriate programs.

Step 3: Create a search platform where business owners can easily find relevant support.

Step 4: Allow users to search, filter, and access details about support programs.