Artificial Intelligence Infused Real Time Interaction Systems for Next Generation Retail Experiences Personalized Consumer Insights and Augmented Shopping Journeys

DOI

10.2991/978-94-6463-718-2_19How to use a DOI?

Keywords

Artificial Intelligence; Real-Time Interaction; Personalized Consumer Insights; Augmented Shopping Journeys; AI in Retail; Hyper-Personalization; Augmented Reality (AR); Virtual Reality (VR); Reinforcement Learning; Sentiment Analysis; Dynamic Pricing; Retail Innovation; Consumer Behavior; Ethical AI; Privacy-Preserving AI; Omnichannel Retail; AI-Powered Recommendations; Next-Generation Retail; AI for Customer Experience; Smart Shopping Assistants

Abstract

Artificial intelligence (AI) technology is advancing at an unprecedented rate, and it has already changed the face of retail and the shopping experience, improving personalization and customer engagement. Fret not as current AI driven solutions for retail tend to be confined to their cause, whether it be online or offline model, lack practical testing in the real world and reproduction of human-like personalization with Augmented Reality (AR) experiences can be easily linked to the dynamic pricing plan. In this research, we present an AI-Driven Real-Time Interaction System that is purposefully devised to integrate personalized consumer insights with the Real-Augmented shopping journey. The detailed framework combines deep learning, RL, AR/VR, and privacy-preserving AI models into a powerful arsenal to improve both online and in-store shopping. Through harnessing real-time customer sentiment analysis, adaptive AI-driven pricing and hyper-personalized recommendations, the system hopes to predict consumer trends, better retails efficiency and provide an immersive interactive shopping encounter. Different from earlier research which largely depends on simulated models and generalized AI applications, this study adds value by verifying AI-generated strategies through real-world applications and case studies. This shows that AI-enabled retail has proven to be a catalyst in improving customer engagement, boosting conversion rates, and building consumer trust while adhering to ethical AI standards and privacy regulations. The research forms the basis for next-generation AI-enabled retail ecosystems that create value by combining digital intelligence with shopping experiences focused on the customer.

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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TY  - CONF
AU  - Venkata Narasareddy Annapareddy
AU  - P. Kiran Kumar
AU  - R. S. Sabeenian
AU  - M. Ambika
AU  - Allam Balaram
AU  - K. Kumararaja
PY  - 2025
DA  - 2025/05/23
TI  - Artificial Intelligence Infused Real Time Interaction Systems for Next Generation Retail Experiences Personalized Consumer Insights and Augmented Shopping Journeys
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 208
EP  - 220
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_19
DO  - 10.2991/978-94-6463-718-2_19
ID  - Annapareddy2025
ER  -