The Mobile Retail Revolution: AI's Transformative Impact on Consumer Behavior and Industry Dynamics

The retail industry is experiencing a transformative shift driven by the integration of artificial intelligence and mobile technology. This technological convergence has revolutionized consumer shopping behavior by creating intelligent intermediaries between retailers and consumers. AI-powered mobile applications have enhanced personalization, inventory management, and optimized pricing strategies while ensuring robust security measures. The implementation of advanced machine learning models, sophisticated data processing architectures, and innovative personalization engines has led to enhanced customer experiences and operational efficiencies. The integration of physical and digital retail environments through technologies like RFID, computer vision, and augmented reality has created seamless shopping experiences. Looking ahead, emerging technologies such as federated learning, blockchain, and edge AI promise to further transform the retail landscape while addressing challenges in system scalability and integration complexity.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-04-23
DOI
https://doi.org/10.32996/jcsts.2025.7.2.26
Citations
2
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
4.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Mobile Retail Revolution: AI's Transformative Impact on Consumer Behavior and Industry Dynamics

Vivek Chanddru
2 citations
Journal of Computer Science and Technology Studies
Consumer Retail Behavior Studies
4.15
article

The Mobile Retail Revolution: AI's Transformative Impact on Consumer Behavior and Industry Dynamics

Vivek Chanddru
article en
2 citations

Abstract

The retail industry is experiencing a transformative shift driven by the integration of artificial intelligence and mobile technology. This technological convergence has revolutionized consumer shopping behavior by creating intelligent intermediaries between retailers and consumers. AI-powered mobile applications have enhanced personalization, inventory management, and optimized pricing strategies while ensuring robust security measures. The implementation of advanced machine learning models, sophisticated data processing architectures, and innovative personalization engines has led to enhanced customer experiences and operational efficiencies. The integration of physical and digital retail environments through technologies like RFID, computer vision, and augmented reality has created seamless shopping experiences. Looking ahead, emerging technologies such as federated learning, blockchain, and edge AI promise to further transform the retail landscape while addressing challenges in system scalability and integration complexity.

Journal of Computer Science and Technology StudiesVol. 7(2)
Openalex Percentile: Top 7%
Consumer Retail Behavior Studies
4.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Mobile Retail Revolution: AI's Transformative Impact on Consumer Behavior and Industry Dynamics — Vivek Chanddru · Journal of Computer Science and Technology Studies (2025) | TGRS Research Map | TGRS