THE ROLE OF AI IN INTELLIGENT CASE ROUTING AND RESOLUTION IN SERVICE CLOUD

Artificial intelligence (AI) can transform the services that are placed on customers and lead to smart routing and
resolution of cases via cloud-based applications. Customer requests in clouds vary, with queries as simple as inquiring
about a cloud to the technical requests such complex issues as triggering a cloud failure. The manual systems which
are traditional may not be efficient and this may lead to delays and customer dissatisfaction. Case routing automation,
which uses machine learning and natural language processing, will automatically classify, prioritize and assign cases
to the most appropriate agents and will be faster and more accurate. The main benefit of artificial intelligence is that
it can analyze customer history and contextual data in real-time to make sure that the cases are channeled to those
agents that can be best equipped to solve an issue in the shortest amount of time. Predictive analytics can also enable
the system to predict the level of complexity of issues, resource allocation and higher first-contact resolution levels.
Consequently, there is increased responsiveness and customer satisfaction that is enabled by AI-powered chatbots and
sentiments analysis tools. AI capabilities in service cloud provide a pressurized picture of general efficiency, initiating
customer experience and competiveness