Users want fast and efficient support that can be achieved when chatbots are proactive and provide real-time support. It was reiterated by the majority of survey respondents who said that they want the chatbots to be intelligent and have self-learning ability. Also, they stated that chatbots should not waste time and transfer to human support immediately if they fail to solve the problem.
Developing an AI-powered Chatbot
An AI-powered Chatbot has machine learning capabilities, that will have them assess if they can handle a request. In case they are unable to process the request, these bots can call for backup, transferring to human support to take over the request. Also, if the human support observes that the bot’s answer is closer to resolving the request, then they can signal the same to the bot. Once reviewed and approved by a human, the chatbot can continue interacting with the user.
When harnessed right, these AI-enabled chatbots are a terrific asset for PLM support, reducing support from multiple clicks to a single click. They can be deployed to aid PLM users by clarifying steps, giving useful links, and bridging the gap between user-specific training and independent user working.
You can improve your design release process, workflows and overcome obstacles in PLM implementation and support among other advantages. The support team can also concentrate on more complicated and tedious support issues while a smart chatbot solves other queries. Also, with integration to data analytics, chatbots can monitor user actions and suggest necessary steps and user-specific guidance.