As the volume of customer inquiries increases, the response speed and efficiency of the customer service team decrease. Team members struggle to respond to all customers within the required time, leading to a drop in customer satisfaction. Over time, this also diminishes customer trust in the brand.

Many businesses have tried implementing AI customer service to improve efficiency, but the results have been disappointing. While AI responses are quick, they lack warmth and personalization, leading to a poor customer experience and lower conversion rates.

Training a skilled customer service representative requires significant time and resources, but these efforts can be wasted if the employee leaves. After investing in developing a proficient representative, they might depart due to personal reasons or better job opportunities, causing substantial loss to the company.

Customer dissatisfaction is increasingly reflected in negative reviews, affecting brand reputation and potential customers' decisions. More negative reviews suggest declining service quality, which could result from poor customer service efficiency, inadequate AI responses, and employee turnover.

As the business grows, the number of customer inquiries is exploding, especially during peak times. Despite the team's best efforts, the volume still exceeds their capacity, resulting in some customer issues not being resolved promptly.

Because the customer service team cannot meet customer needs, the boss has to step in and handle inquiries personally. This not only impacts the boss's other important tasks but also highlights deficiencies in the customer service system and strained resources.