Which linguistic innovation was first widely adopted by major retailers to improve customer personalization through digital transformation?

The intersection of linguistics and retail has created revolutionary changes in how companies interact with customers. Natural Language Processing (NLP) and sentiment analysis have transformed personalization strategies, enabling retailers to understand customer preferences at unprecedented levels. How well do you understand the evolution of language technology in the retail space?

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Sentiment analysis of customer reviews to dynamically adjust product recommendations
Multilingual chatbots with real-time translation capabilities for international markets
Voice recognition systems that identify individual customers upon store entry
Semantic search engines that understand shopping intent rather than just keywords