Customer Support with AI assistants
AI assistants can revolutionize customer support by providing instant answers to common queries, resolving issues quickly, and offering resources to enhance the customer experience. Effective customer support strategies can significantly improve customer satisfaction, loyalty, and retention. This assistant offers an accessible platform for customers to get the information they need, contributing to better service and happier customers. These benefits highlight the pressing need for innovative solutions like AI customer support assistants.
Challenges in Customer Support
Addressing Complex Technical Issues
Some customer inquiries involve highly technical issues that require specialized knowledge and skills to resolve. This can be particularly challenging for support teams without dedicated technical support staff.
For instance, a software company may receive complex troubleshooting requests that general support representatives are not trained to handle, leading to extended resolution times and customer dissatisfaction.
Personalizing Customer Interactions
Customers today expect personalized interactions that recognize their history and preferences. Achieving this level of personalization can be difficult, especially for companies with large customer bases.
For example, a telecom company might struggle to provide tailored recommendations and support to each customer, resulting in generic and less effective service.
Set up a Customer Support assistant with Ejento AI
Let's create a customer support assistant using the Ejento AI builder. Our platform empowers you to customize every aspect of the assistant, from setting specific prompts tailored to customer support inquiries to configuring its interactive capabilities. This assistant will be designed to help customers get quick and accurate responses to their questions, enhancing their overall satisfaction and loyalty.
Assistant Configuration
Utilize the Ejento AI Builder to easily create an assistant by performing detailed configurations manually under the "Customize" tab. This allows for fine-tuning of the assistant’s behavior, instructions, prompts, and other settings to meet specific needs.
1. Click on Create Assistant
2. Select a Team
3. Select a Project
4. Click on Add
5. This is the Ejento AI Builder Interface
6. Click on Customize
7. Give your assistant a Name, Model and Description
8. Give the instructions on what the assistant is supposed to do!
For instance: "You are a customer support assistant for Ejento AI, responsible for providing accurate, timely, and helpful responses to customer inquiries. Your primary tasks include understanding and resolving customer issues, providing product information, and ensuring customer satisfaction. You should approach each interaction with empathy, patience, and a positive attitude"
9. Click on Advanced Options
10. Select the type for your Assistant
11. Click on + to add Custom instructions
12. Add the Custom Instructions Here and Click on Save.
13. Adding Conversation starters
Conversation starters offer users instant, relevant queries to initiate interaction, enhancing the user experience. They guide users to explore the assistant's capabilities efficiently.
14. Click on Save
Data Indexing
Indexing relevant data is essential for the Ejento AI Customer Support assistant to provide accurate and effective assistance to users. This data can include product documentation, FAQs, troubleshooting guides, user feedback, and historical support interactions. By accessing this information, the assistant can better understand the user's context, deliver precise solutions, and offer personalized support tailored to individual needs
Steps to Index Data:
Collect Content Resources:
- Gather all relevant content resources, such as product documentation, FAQs, troubleshooting guides, and user feedback.
- Ensure the resources are up-to-date and cover all essential topics.
Index Documents to the assistant:
1. Click on the menu icon
2. Click on Corpora
3. Click on the default assistant corpus
4. Click on View Corpus
5. Click on Add Document
6. Select the Data Source
7. Upload the relevant Link(s). Make sure each link is in a separate line
8. Click on Upload Link(s)
9. The documents are indexed successfully when the status shows "Completed"
AI Customer Support assistant In Action
Now that our assistant has context about it's job and also the resources from where it is supposed to use information from, Let's try to ask some questions to see if it works as expected.
1. Notice that when using the Cohere model, we did not receive a response.
2. Switch to a different model to resolve this issue.
Click here to toggle between LLMs
Let's try a better Language Model to see if the response improves!
We've chosen the GPT 4 Turbo for generating the response this time.
3. Now, Let's ask the question again
This time the assistant provided a completely accurate and detailed response
4. Let's ask another question.
5. The assistant provided a completely accurate and detailed answer
