Which linguistic capability represents the most recent major advancement in retail chatbot technology?

The language used in retail chatbots has evolved dramatically over recent years as natural language processing capabilities have advanced. Modern retail chatbots must navigate complex linguistic challenges including dialect variations, colloquialisms, and context-dependent queries. This trivia question explores how today's leading retail chatbots handle the nuances of human language to create more effective customer experiences.

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Sentiment analysis (detecting customer emotions through text)
Multi-turn contextual understanding (maintaining conversation history)
Zero-shot learning (responding accurately to never-before-seen queries)
Multi-language support (functioning in multiple languages)