A Novel Approach of GenAI-Driven Financial Marketing System
TL;DR
The Gen AI Driven Financial Marketing delivers a stack-based web-based solution that enables the use of Machine Learning (ML) and Generative Artificial Intelligence (GenAI) to make customer data from its raw form more accessible and further provide the relevant marketing messages.
Abstract
: Personal customer engagement is more important now more than ever in the big data era of finance, but it seems that typical financial marketing infrastructures still rely on generic models that affect each customer individually to a very little extent. The Gen AI Driven Financial Marketing delivers a stack-based web-based solution that enables the use of Machine Learning (ML) and Generative Artificial Intelligence (GenAI) to make customer data from its raw form more accessible and further provide the relevant marketing messages. The system utilizes the K-Means clustering algorithm to segment customers based on their financial and demographic attributes, thus, identifying discrete behavior-based segments. A rule-based engine then allocates offers to each segment, and a Generative AI model creates natural-sounding advertising content for each customer group. The said system is constructed on top of React (frontend), FastAPI (backend), and Scikit-learn (ML pipeline) in such a way that data flow and user interaction between components are very smooth. This combined AI platform significantly improves marketing effectiveness and personalization, among other benefits such as ease of scalability and transparency, making it very convenient for banking and financial services sector besides the implementation in the real world.