Towards Client Engagement Using RAG System with Pattern Prediction Framework

Hanmin Jung, Hanmin Jung, Athiruj Poositaporn, Athiruj Poositaporn

2025

Abstract

Client engagement refers to the process of companies and customers building and maintaining relationships through communication, personalized marketing, and value-added services. This often results in analysis reports, consulting services, and strategic planning documents. Tools like GPT-4o have significant potential to support these interactions in sectors such as meteorological organizations. However, standalone generative models like GPT-4o face challenges in accessing external datasets and often produce generic outputs. To overcome these limitations, this study introduces a chat-based Retrieval-Augmented Generation (RAG) system integrated with a pattern prediction framework. We demonstrate our RAG system in analyzing air pollution pattern prediction results from our prior study and compare its generated answers with a standalone GPT-4o model. Experimental results show that the RAG system delivers actionable recommendations and contextually enriched outputs grounded in domain-specific data. In future work, we aim to explore the potential of RAG in real-world applications, such as improving client engagement by generating client-focused reports.

Paper Citation

in Harvard Style

Jung H. and Poositaporn A. (2025). Towards Client Engagement Using RAG System with Pattern Prediction Framework. In Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; ISBN 978-989-758-750-4, SciTePress, pages 436-441. DOI: 10.5220/0013474400003944

in Bibtex Style

@conference{iotbds25,
author={Hanmin Jung and Athiruj Poositaporn},
title={Towards Client Engagement Using RAG System with Pattern Prediction Framework},
booktitle={Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2025},
pages={436-441},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013474400003944},
isbn={978-989-758-750-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS
TI - Towards Client Engagement Using RAG System with Pattern Prediction Framework
SN - 978-989-758-750-4
AU - Jung H.
AU - Poositaporn A.
PY - 2025
SP - 436
EP - 441
DO - 10.5220/0013474400003944
PB - SciTePress