That’s right. You don’t need a data analyst to run the chat.
Either define customer intents and responses yourself or feed the system with actual customer chats, taking the assistance of conversation bots.
Human-machine collaboration:
ThinkOwl supports your employees by suggesting suitable responses while they are chatting with customers.
Chat tools backed by conversation bots provide a powerful interface for brands to interact with their customers. Chat capabilities bridge human limitations to provide 24x7 customer support and form the first line of support for brands looking to deliver instant and responsive support.
Chat combines conversational data with customer profiles to enable brands to provide personalized support. Intelligent chat tools are trained to handle complex queries and offer a scalable support solution to augment the human support team. Designed for ease of use, AI-powered chat tools are self-learning and continually training.
So, brands don’t need a data analyst to train the AI bots. By defining customer intents and responses, brands can give the customers what they need and when they need it. Agents benefit from a lighter caseload and can focus on more complex issues that demand human attention.