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June 20, 2026Journal of Informatics and Web EngineeringOpen Access

Design of a CNN–NLP Based Visual Chatbot for e-Commerce Systems

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Authors

SKSidra KubraSNSalma Jahan NishaNSN. D. Salih

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Overview

This randomized trial evaluates a visual chatbot that enhances product discovery in e-commerce, suggesting improved user engagement.

Key Points

  • The aim is to develop a chatbot integrating image recognition and natural language processing for enhanced e-commerce interactions.
  • Conceptual framework combining CNN for image recognition and NLP for response generation.
  • System developed using Python with libraries including Keras, OpenCV, and Flask.
  • Evaluation conducted through real-world application tests with three users.
  • Highlights the usability of image-based communication for improving customer interaction in e-commerce.
  • Demonstrates enhanced user engagement and satisfaction during interactions.
  • Provides insights into the effectiveness of visual inputs in online shopping experiences.

Cite This Study

Kubra et al. (2026) studied this question.

synapsesocial.com/papers/6a362e1edb0793dc1a535f2dhttps://doi.org/10.33093/jiwe.2026.5.2.9
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Also Consider

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  1. 1A Conversational Image Recognition Chatbot2026
  2. 2Intent Recognition and slot filling for ecommerce chatbot2024
  3. 3Developing a Smart Integrated Chatbot Interface to Facilitate the Autonomous Customer Relationship Management (CRM) by Employing Natural Language Processing (NLP) Based Technology2025
  4. 4Chatbot Based Online Shopping Web Application2024 · 3 citations
  5. 5Development of Intelligent Basket System by Using Image Detection with Convolution Neural Network (CNN)2025