Chatbot


AI-driven application that engages with customers through messaging channels, handling queries and providing information. Used in omnichannel contact centers, chatbots improve efficiency by managing high interaction volumes and offering immediate responses, enhancing customer service and satisfaction.

Natural Language Processing (NLP)

Utilize NLP to understand and interpret human language, allowing them to respond to customer inquiries in a conversational manner. This feature enables chatbots to process and comprehend the intent behind customer queries, providing relevant and accurate responses.

Automated Responses

Automatically generate responses to common queries based on predefined scripts or knowledge bases. This feature allows chatbots to provide instant answers to frequently asked questions, improving response times and customer satisfaction.

Conversation Management

Manage ongoing conversations, maintaining context and continuity throughout the interaction. This feature ensures that customers receive coherent and contextually appropriate responses, even in complex or lengthy conversations.

Escalation to Human Agents

Identify when an issue requires human intervention and escalate the conversation to a live agent. This feature ensures that complex or sensitive issues are handled by trained professionals, providing a seamless transition from automated to human support.

Scalable Support

Chatbots are perfect for addressing increases in customer inquiries during periods of high activity or advertising campaigns because the bots can efficiently handle a large number of ongoing contacts. It offers constant service availability without necessitating a substantial increase in the number of human agents.

Client Data Gathering

Chatbots are able to gather useful consumer information, such as choices, purchase history, and interaction data. Personalising interactions and increasing client engagement are possible with the use of this data.