Real-time personalization in retail: A blueprint for AI-driven digital transformation

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AI-driven personalization enhances customer experiences through tailored recommendations and dynamic pricing.
The framework outlines components like data integration and ethics management to guide retailers in implementation.
Despite its benefits, AI personalization faces limitations such as consumer trust issues and ethical challenges.
Future research directions include privacy-preserving techniques and bias mitigation in omni-channel settings.

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This framework details AI-driven personalization strategies in retail, highlighting challenges around data privacy and algorithmic bias.

Sarankumar Ganesan (2025) studied this question.

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