[TOP 4] Disadvantages of chatbots for customer service

However, consumers still have reservations about using them. According to data from Userlike , 60% of customers prefer to wait to speak directly to a human agent rather than use bots customer service .

In this post, discover the main disadvantages of chatbots that lead consumers to opt for human service and how to solve them. Also, explore the different types with examples.

Summary
Despite the growing use of chatbots in customer service, most customers prefer to interact with a human agent.

Limitations in interactions and lack of emotional understanding are some of the disadvantages of chatbots, which can result in an  customer service experience for users.

Difficulty understanding language nuances and concerns about data privacy are also significant

barriers chatbots face in interacting

Generative AI offers great potential to overcome these limitations. This allows chatbots to better adapt to users’ needs and expectations  phone number library and provide them with hyper-personalized experiences.

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According to the Userlike survey cited above, 50% of customers highlighted the fact that the chatbot did not know how to solve their problem as a negative aspect. This represents a major challenge since according to Accenture , poor customer service is the main reason (47%) why consumers feel less valued.

2. They are not human
Although it may seem obvious, this is one of the main disadvantages of chatbots . They can imitate language, but this  update checklist that your lead qualification checklist needs updating technology does not have the same capacity to understand situations, emotions and feelings as a person would.

According to Userlike’s survey, the main negative aspect highlighted by 60% of users is that they could not solve their problem with the chatbot because they needed to talk to a person.

Find out what personalized attention is and why it is so important in customer service.

Difficulty understanding nuances of language

Another disadvantage of rule-based chatbots is that they have trouble understanding the context , intent, or meaning of the words or phrases that users use, especially if they involve colloquial language, slang, abbreviations, or idioms, for example.

According to PwC , 79% of consumers trust data protection . However, as noted by CX Trends 2024 , 6 out of 10 customers believe betting email list  that companies do not comply with data security.

Concerns about data privacy may discourage customers from interacting with the chatbot or providing personal data. This  customer service limits the effectiveness of the service and makes it difficult to resolve queries.

In customer service , for example, a keyword recognition chatbot could be programmed to understand terms like “refund,” “order status,” or “business hours,” and provide relevant responses based on those specific terms.

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