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Advancements in Conversational Commerce and Dialog Systems
Increasing focus on conversational commerce and development of dialog systems can drive the market growth. Brands have realized the revenue potential of voice assistants and are keen on offering optimized shopping experiences through conversational interfaces. This requires powerful NLP platforms that can understand customers, recognize intents, personalize responses, and enable seamless transactions verbally. Technology companies are making continued investments innovations related to dialog management, deep learning for language modeling, and other aspects of human-chatbot conversations. Their aim is to create highly engaging dialog systems for various business processes and customer service functions. As more firms prioritize building conversational interfaces for service sectors like retail, tourism, healthcare, and automotive, these will rely extensively on advanced language technologies. This fuels the incorporation of sophisticated NL features such as sentiment analysis, entity recognition, question answering and summarization.
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