Kesem.ai can be used for various applications, including: 1. Customer support and assistance. 2. Lead generation and qualification. 3. FAQ retrieval and knowledge base search. 4. Appointment scheduling and reminders. 5. Product recommendations.
Kesem.ai Support Email & Customer service contact & Refund contact etc.
Here is the Kesem.ai support email for customer service: [email protected] . More Contact, visit the contact us page(https://app.kesem.ai/landing#contact)
Kesem.ai Company
Kesem.ai Company name: Kesem AI .
Kesem.ai Login
Kesem.ai Login Link: https://app.kesem.ai/
Kesem.ai Sign up
Kesem.ai Sign up Link: https://app.kesem.ai/
Kesem.ai Pricing
Kesem.ai Pricing Link: https://app.kesem.ai/landing#pricing
FAQ from Kesem.ai
What is Kesem.ai?
Kesem.ai is an AI-powered chatbot platform built using create-react-app. It leverages natural language processing to understand user queries and provide intelligent responses.
How to use Kesem.ai?
To use Kesem.ai, simply visit the website and start interacting with the chatbot interface. Type your questions or statements in plain English, and the chatbot will provide relevant answers or suggestions.
Is Kesem.ai a free platform?
We currently do not provide pricing information. Please contact us for more details.
How accurate are Kesem.ai's responses?
Kesem.ai utilizes advanced natural language processing techniques to provide accurate responses. However, the accuracy may vary depending on the complexity of the queries and the training data available.
Can Kesem.ai be integrated with other platforms?
Yes, Kesem.ai offers multi-channel support, allowing seamless integration with various platforms such as websites, mobile apps, and messaging services.
Can I customize the behavior of Kesem.ai?
Yes, Kesem.ai provides customization and configuration options to align with your specific requirements. You can train the chatbot with your own data and define its responses accordingly.
What kind of analytics and reporting does Kesem.ai offer?
Kesem.ai provides analytics and reporting features to track user interactions, identify trends, and measure the performance of the chatbot. This helps in improving its effectiveness over time.