Analyzing Customer Behavior Data with AI to Recommend Personalized Financial Products

Woori Bank Launches 'Personalized Marketing Based on Customer Behavior Using Big Data' View original image


[Asia Economy Reporter Kim Hyojin] Woori Bank announced on the 7th that it will conduct "personalized marketing based on customer behavior using big data," which is the first in the banking sector to analyze customer behavior information with artificial intelligence (AI) and recommend customized products for each customer.


By analyzing all channels' unstructured customer behavior information such as consultation records (voice), deposit and withdrawal records (text), and internet and smart banking usage logs (log) with AI, along with previously used structured data such as customer personal information and transaction information, it recommends optimized personalized products for each individual. Customers can receive recommendations for financial products they have been interested in either when visiting a branch or through their smartphones.


Woori Bank organized unstructured data such as voice, text, and logs, combined it with existing structured data, and built an integrated customer behavior information database. Based on this, it developed an AI marketing model that recommends the best products for each customer.


Additionally, by linking the AI marketing model with the marketing system, Woori Bank established an integrated marketing system where performance aggregation, model performance evaluation, and model retraining are automatically conducted, reflecting this across all channels.



A Woori Bank official stated, "From now on, it is an era where financial needs must be identified in real time through customer behavior information and optimal personalized services must be provided," adding, "Through this big data-based personalized marketing based on customer behavior, we will continue to provide customized services to customers."


This content was produced with the assistance of AI translation services.

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