An NLP (Natural Language Processing) Bot in Zoho SalesIQ uses machine learning to understand the intent behind visitor messages expressed in natural language, rather than requiring visitors to select from predefined options. Visitors can type questions in their own words and the bot interprets the intent and responds accordingly.
NLP bots require training data: sample utterances representing each intent you want the bot to recognise, paired with the appropriate response. The more diverse the training utterances for each intent, the better the bot handles real-world variation in how visitors phrase questions.
Flow-based bots (Codeless Bot) guide visitors through structured menus. NLP bots handle open-ended conversation but require more setup and training. A hybrid approach — using a flow-based bot for structured qualification and an NLP bot for FAQ answering — often delivers the best balance of structure and flexibility.
The NLP Bot uses natural language processing to interpret the intent behind a visitor’s typed message. The bot is trained with sample phrases for each intent. When a visitor sends a message, the NLP engine matches it against trained intents and triggers the corresponding response. The more training phrases added, the more accurately the bot recognises varied phrasings of the same intent.
Training an NLP Bot involves defining intents (the purpose behind a question), adding multiple example phrases for each intent, and mapping each intent to a bot response or flow. SalesIQ provides a training interface where you add phrases and test the bot’s recognition before deploying. Regularly adding missed queries from real conversations improves accuracy over time.
The NLP Bot uses natural language processing to interpret the intent behind a visitor’s typed message. The bot is trained with sample phrases for each intent. When a visitor sends a message, the NLP engine matches it against trained intents and triggers the corresponding response. The more training phrases added, the more accurately the bot recognises varied phrasings of the same intent.
Training an NLP Bot involves defining intents (the purpose behind a question), adding multiple example phrases for each intent, and mapping each intent to a bot response or flow. SalesIQ provides a training interface where you add phrases and test the bot’s recognition before deploying. Regularly adding missed queries from real conversations improves accuracy over time.
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