Product inquiry assistant

In enterprise product customer service work, facing a large volume of frequent customer inquiries, manual replies are not only prone to delays but also overload customer service staff, affecting overall service efficiency. Many repetitive questions recur, consuming a great deal of time to handle, making it difficult for the team to focus their efforts on more complex customer needs and problem-solving. In addition, the lack of personalized recommendations tailored to customer behavior and needs cannot effectively improve customer satisfaction and user experience, further affecting brand image and business growth.

Now, you can use MaiAgent to build an external AI product inquiry assistant for your company, not only effectively reducing customer service costs but also providing more personalized product recommendations that better meet customer needs, improving service quality and customer satisfaction!

Use case: Building an external product inquiry assistant for a computer brand

Suppose you are a product customer service specialist for a computer brand, facing a large and diverse range of specification inquiries from customers, which often requires spending a lot of time processing and responding. At this time, you can use MaiAgent to build an external AI product inquiry customer service assistant to improve work efficiency.

At this time, you can use MaiAgent to build an external AI product inquiry customer service assistant that provides instant replies, not only greatly improving work efficiency but also effectively reducing customer service burden, allowing you to focus on higher-value customer service tasks

Application process

1. Create an external AI product inquiry assistant

Enter the AI assistant name

Choose RAG and language model

When selecting the answering mode, if there are no special requirements you can choose "General Mode", which will meet this use case. The role instruction reference is as follows

# Role
You are the company's external product inquiry assistant

# Output format
Please use the example format below and reply with the three most relevant pieces of knowledge.

<example>
For the issue you mentioned, we recommend the following products:

1. [Product Name] specification details
2. [Product Name] specification details
3. [Product Name] specification details
</example>

# Output constraints
- Please reply in Traditional Chinese
- Prioritize references with more recent dates
- Do not answer with information that is outside the scope of the knowledge base
- Answer based on the knowledge base; if you cannot answer, please respond with the text inside the <example> below

<example>
We are sorry, this issue is currently beyond the scope of response; please contact a human customer service representative for assistance

2. Upload the knowledge base

Here we upload HP's publicly available product catalog as a sample

https://www.hptw-ebrochure.com/hipershop/rwd1185/store/F2/2024-0824_compressed.pdf

3. AI assistant go-live and application

Now, you can embed the AI assistant directly into the company website, allowing customers to ask questions in a Q&A interface in real time and receive more tailored personalized product recommendation options, enhancing the user experience and satisfaction!