5 generic conversational AI use cases that you can implement in your enterprise

The infiltration of Natural Language Processing (NLP) into AI is helping the technology understand and interact with people more naturally. In the form of conversational AI bots, AI is managing many interactions with users.

Conversational AI bots can intelligently collate the outcomes of conversations into useful information, using their powerful decision making capability over a period of time. According to a study by comScore, 80% of user time is spent on messaging apps like Facebook messenger and WeChat. Tech giants, like Google and Amazon are developing technologies that have made AI accessible to developers and midsize companies. It is the coming together of such reach and technical maturity that is accelerating the adoption of these AI bots.

What is conversational AI?

Conversational AI is intelligent software installed within AI bots that make you feel as if you are conversing with a human being. They are not only prepared with an answer before the customer can ask a question, but can also store, analyze, and, constantly update and improvise using the data they gather. The elements that define a conversational AI bot are:

• A database that acts as a repository of knowledge from where it can retrieve the required data and information.
• NLP for better customer experience that helps it to learn from its mistakes and constantly update itself to provide a better customer experience.
• Its ability to get updated with new features according to its usage in diverse businesses and platforms.

What are probable conversational AI use cases?

Mentioned below are 5 different AI use cases that you can implement in your enterprise.

Customer Support

Conversational AI bots can be used to provide efficient customer support services. They can be used to reply to frequently asked questions (FAQs). In case the confidence threshold is exceeded, it will hand over the control to a human. However, it constantly learns from its past mistakes to improve the quality of its answer in the future and avoid such a situation.

Sales

AI bots can also be used to sell cheap products where people do not need to spend a considerable amount of time in comparing it with other similar products. AI bots also come handy for cross-selling purposes, where it can provide an initial set of information to the potential customer and after recognizing her level of interest, bots can hand over the control to a human.

Concierge

One of the stronger technical abilities of conversational AI bots is the execution of repetitive tasks. For example, making airline transactions for customers or sending messages about scheduling meetings for them.

Data aggregation

AI bots are used for data aggregation where they regularly collect few pieces of information every time they interact with customers. They enable companies to reach customers through different channels, 24/7.

Personal assistant

One of the most intensive applications of AI bots is as a personal assistant. It is capable of comprehending open conversations while contextualizing them to a particular case or scenario. Tech giants like Apple, Microsoft, and Google are currently focusing a lot of their AI R&D to this application.

Encapsulating the above information, it can be said that the crux of conversational AI bots is to solve customer issues by conversing with them in as few interactions as possible, avoid asking for unnecessary information, and try and leverage the existing content.