Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

PUMGPT: Leveraging AI for Advanced Product Management in E-Commerce

Authors
Muhammed Abeed Nabith1, *
1San Francisco Bay University, Fremont, CA, 94539, USA
*Corresponding author. Email: abeed.nabith@gmail.com
Corresponding Author
Muhammed Abeed Nabith
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_15How to use a DOI?
Keywords
Large Vision-Language Models (LVLMs); E-commerce; Product Understanding; AI in Retail; Hallucination Detection; Attribute Inference; Category Prediction; Caption Generation; PUMBENCH; Product Management
Abstract

Product management in e-commerce relies on accurate understanding of product attributes, categories, and presentations to enhance user experiences and streamline workflows. This paper introduces PUMGPT, a specialized large vision-language model (LVLM) designed to address challenges in product understanding tasks across multi-modal data. PUMGPT employs a robust data curation pipeline, including a novel hallucination detection framework, to filter noisy product data from over one million samples, resulting in a high-quality training dataset of 663k entries. The model is evaluated on PUMBENCH, a benchmark suite that tests capabilities across five critical product management tasks, such as caption generation, attribute inference, and category prediction. Experimental results demonstrate that PUMGPT outperforms existing LVLMs, including GPT-4V, showcasing its superior ability to integrate domain-specific insights with advanced AI methods. This work highlights the transformative potential of AI in e-commerce product management, offering scalable solutions for improving operational efficiency and customer engagement.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_15How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Muhammed Abeed Nabith
PY  - 2025
DA  - 2025/07/17
TI  - PUMGPT: Leveraging AI for Advanced Product Management in E-Commerce
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 162
EP  - 176
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_15
DO  - 10.2991/978-94-6463-787-8_15
ID  - Nabith2025
ER  -