Top Three Limitations of Intelligent Chatbots

Intelligent chatbots were designed with the goal of replicating human discussions in mind. However, intelligent chatbots fail terribly.

Fremont, CA: Chatbots now struggle to grasp the human context, convey emotions, and retain consumers.

In many firms, intelligent chatbots have taken over critical jobs such as customer care, marketing, and sales. Years of research & development have resulted in intelligent chatbots that could answer questions, conduct various activities, and carry out corporate operations like customer service and data collecting. An intelligent chatbot is an intriguing example of an intelligent chatbot. This real-estate chatbot automates engagement with potential prospects and assigns real-estate marketers to such leads via social media. However, the popularity of chatbots has resulted in an inflow of less-than-intelligent chatbots in several enterprises.

Limitations of Intelligent Chatbots

A lack of useful AI

Numerous commercial chatbots are built using decision trees rather than AI. The developer creates code that recognizes specific words and phrases and generates a preprogrammed response. However, any inquiry not part of the preprogrammed interaction may confuse the chatbot and result in an unfavorable answer. To build the chatbot, developers must prepare and construct various situations. However, some developers overlook or neglect specific conditions, rendering the chatbot inefficient in its application. Generally, decision trees are used to create chatbots that provide a dropdown list of queries. These chatbots serve as customer care bots.

Ignorance of Context

Intelligent chatbots were designed with the goal of replicating human discussions in mind. However, intelligent chatbots fail terribly. One of the primary reasons for such failure is that chatbots cannot understand or remember the context of a discussion. In addition, these chatbots lack natural language processing, which is critical for comprehending human language context.

Ineffective Damage Control

Several commercial chatbots fail to grasp client inquiries. In such cases, chatbots aggravate the problem by repeatedly requesting the consumer to repeat their query or by providing funny comments to distract the user's attention. This technique irritates the user even more. As a result, chatbots should include a preprogrammed answer for such scenarios and divert to a human assistant.