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              <text>Enhancing Customer Satisfaction and Sales in Retail Environments: A Personalized Augmented Reality Approach for Dynamic Product Recommendations</text>
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              <text>Adoption factors; Augmented reality; Customer satisfaction; Deep learning integration; Employee productivity; Inventory management; Long-term effectiveness; Personalized product recommendations; Retail industry; User experience</text>
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              <text>This article explores the potential transformative impact of integrating augmented reality (AR) technology with personalized product recommendations in the retail industry. By leveraging ARs ability to overlay digital information onto the physical world, retailers can offer tailored suggestions based on individual preferences, past purchases, and real-time contextual cues, thereby enhancing customer satisfaction and driving sales. Through a comprehensive literature review and empirical analysis, the study investigates user experience, adoption factors, and the long-term effectiveness of AR-deep learning integration in retail settings. Findings reveal significant improvements in customer satisfaction, sales performance, inventory management, and employee productivity with the implementation of AR-Deep Learning technology. Additionally, the article presents an innovative framework that seamlessly integrates AR and deep learning models, demonstrating high accuracy in object recognition, real-time interaction, and enhanced user experience across various industries. While highlighting the studys limitations and areas for further research, this article underscores the importance of customer-centric strategies and technological innovation in optimizing the retail experience and driving business growth.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.</text>
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              <text>Shaji A.K.; Sankar S.; Uma V.R.</text>
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              <text>Studies in Systems, Decision and Control, Vol-555, pp. 143-154.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-031-67890-5_15" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-031-67890-5_15&lt;/a&gt;
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              <text>ISSN: 21984182</text>
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              <text>Shaji A.K., Department of Professional Accounting and Finance, Kristu Jayanti College (Autonomous), Karnataka, Bengaluru, India; Sankar S., Department of Professional Accounting and Finance, Kristu Jayanti College (Autonomous), Karnataka, Bengaluru, India; Uma V.R., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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