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How to use ChatGPT as customers support chatbot on your website


As an AI language model, ChatGPT can be integrated into a company in several ways to enhance customer experience and streamline operations. Here are the top five ways to integrate ChatGPT into your company:


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ChatGPT can be integrated into your company’s customer support system to provide customers with instant and personalized responses to their queries. Customers can chat with ChatGPT through your website or mobile app. The AI model can provide instant solutions to common problems or redirect them to a customer service representative when necessary.

We have been able to achieve this in collaboration by working on Verbose. Building an AI-driven customer service that allows businesses to cut costs on customer support and enhance user experience on their apps and websites.

To implement such a solution in your company, you need to follow a set of steps. Let’s define them one by one.

Step 1: Determine customer support needs

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To successfully implement ChatGPT, there are a few key steps that you need to follow. First, it is important to identify common customer queries and issues that require immediate resolution. This will help you configure ChatGPT to address these concerns and provide timely support to your customers. Secondly, you should determine peak support hours to ensure ChatGPT is available when customers need assistance. This will help ensure that customers can always access support when they need it most. Finally, you need to define ChatGPT’s role in the customer support system. This includes determining which tasks ChatGPT will handle and which tasks will be handled by your customer support team. As a starting point, you can decide to just answer documented queries through AI. This task can be completed in less than 5 minutes with modern solutions like verbose. You can also contact us if you need a more custom solution concerning your customer support.

Step 2: Train ChatGPT

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To ensure ChatGPT is effective in providing customer support, it is important to train it to understand and respond to customer queries and issues using your company’s knowledge base. Here also, Verbose, as I mentioned earlier, plays a major role by aggregating your content automatically across multiple channels and creating a structured search database for the AI.

Those data, coupled with ChatGPT, can provide accurate and tailored responses to customers by incorporating information specific to your business. That process is called the training process, where ChatGPT should be trained to recognize customer intent and respond appropriately, using context to provide the best possible support. To further improve ChatGPT’s performance, frequently asked questions and answers should be incorporated into its knowledge base. This will help ChatGPT provide quick and accurate responses to common customer queries and further streamline the customer support process. With proper training and knowledge, ChatGPT can become an invaluable asset to your customer support system, enhancing customer satisfaction, experience and overall business performance.

Step 3: Integrate ChatGPT

The integration of ChatGPT into your business customer support can be achieved through multiple channels. One of the simple solutions is to create a custom chat interface where your users will directly chat with the AI and get their issues solved. For that problem, a set of small steps:

  • First, you will need frontend development knowledge
  • A server to get users’ responses, contextualise them based on your knowledge base,
  • send the request to chatGPT servers, get the response
  • send back the AI answer to the user.

This task can take a long time for your team to integrate and manage the system fully. Here, Verbose provide a 30 seconds process and full management of updates with an integration code that you can paste to your website.

After the integration process, you could go further with the Ai by adding more personalization and customising responses to your customers based on their data, such as purchase history or location. With location, for example, you can prompt chatGPT to answer in a given language or change language when the users need it.

The last step in the testing phase is where you internally test the solution with multiple queries. This is also a long step to produce a test environment for your team that is fully solved with Verbose testing environment.

Step 4: Monitor and Optimize

Monitoring ChatGPT’s performance and tracking customer interactions is crucial to identifying areas for improvement in your customer support system. By reviewing customer feedback and interaction data, you can gain valuable insights into how ChatGPT is performing and how it can be optimized to improve customer satisfaction. Using this information, you can make targeted changes to ChatGPT’s responses, ensuring that it provides accurate and helpful customer support. It is also important to continuously update ChatGPT’s knowledge base with new information and feedback to ensure it is providing the best possible support. This includes adding new frequently asked questions, updating existing responses, and incorporating customer feedback to make ChatGPT even more effective. Verbose provide a fully automated process with a one-way data-binding from your knowledge base to the Ai data store so you can fully concentrate on your business.

So, by monitoring and optimizing ChatGPT’s performance, you can continuously improve your customer support system and provide an exceptional customer experience.

Step 5: Evaluate the Results

The evaluation step is the last in your customer support automation journey. The evaluation includes multiple aspects. It can be financial, performance-based or overall customer satisfaction. Based on the metrics you choose, you can perform multiple actions:

  • You may change your model and use a less costly one for your responses. But you will have to keep in mind that it could also affect the model output and, thus, the responses from the chatbot.
  • If you are trying to make the model more accurate, add more examples and data to your knowledge base and your AI data store to make it more aware of your internal processes.
  • If you want the model to be faster, the solution could also be to switch the model to a faster model from Openai API models.

In conclusion, this integration plan for ChatGPT into your company’s customer support system can help provide your customers with quick and efficient support while reducing your support team’s workload. The key is continuously monitoring and optimising ChatGPT’s performance to ensure it provides your customers with the best possible support. Last final work, you can get a free trial at verbose to integrate AI into your system in minutes, not months.

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