Which linguistic AI breakthrough most dramatically improved retail chatbots' ability to understand context and conversational nuance in customer service interactions?

In the rapidly evolving world of retail technology, AI-powered chatbots have transformed how customers interact with brands. These linguistic tools have gone through remarkable advancements in natural language processing. This trivia question explores how retail chatbots have evolved to understand and respond to human language patterns, and the breakthrough technology that made modern retail chatbots significantly more effective at understanding customer queries and providing contextually relevant responses.

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BERT (Bidirectional Encoder Representations from Transformers) models that understand word context in both directions
Rule-based grammar systems that follow strict linguistic patterns programmed by developers
Simple keyword matching algorithms that identify specific terms in customer queries
Audio waveform analysis that detects emotional tone in spoken customer service calls