Better Support with AI
Technology is used to help AI solutions read through complex documentation and knowledge bases in several ways. One way is through natural language processing (NLP) and machine learning (ML). NLP is used to break down text into its individual words, phrases and sentences, and can be used to identify key topics and concepts. ML is used to identify patterns in the data and identify the appropriate solutions to customer queries. Additionally, AI can be used to cross-reference customer tickets and knowledge bases, to quickly identify the best solution to an issue. AI can also be used to detect trends and anomalies in customer data, to better understand customer behaviour and provide tailored solutions for each customer. Finally, AI can be used to automate customer support, allowing agents to quickly answer common queries and freeing up time for more complex tickets.
Machine Learning algorithms to recognize patterns and make predictions about customer support requests.
Automated Text Analysis to identify and categorize customer queries..
Natural Language Processing (NLP) to interpret customer queries and extract key phrases, terms, and concepts automatically..
Knowledge Graph Automation
Knowledge-driven Automation to automate certain customer service tasks based on the knowledge base..