How did the residential pool builder client use an AI chatbot to improve their customer service, and what was the outcome?

The residential pool builder had a three-person team that often missed or delayed responding to customer messages because volume was low and inconsistent. Kelly built an AI chatbot trained on the business to answer common questions, understand user intent such as interest in getting a quote, and collect the right information, with an automation that texted leads to the team in real time. After the chatbot was in place, they never missed another message, and the customer experience instantly improved.

The client was a residential pool builder with a small team of only three people managing all operations. Customer messages trickled in at a low and inconsistent rate, so the team often missed them or left them unanswered for days while handling other parts of the business. To fix this, Kelly created an AI chatbot that acted as a digital receptionist and safety net. The chatbot was trained on the business itself so it could answer common questions and provide feedback. With AI, it was also trained to understand the user's intent, such as whether someone showed interest in getting a quote, so it knew what type of information to collect. An automation then texted the lead directly to Kelly and the client, giving them real-time information about prospects they needed to contact as soon as possible. The outcome was that they never missed another message, and the customer experience instantly improved.