AI in Customer Service

AI-Powered Complaint Resolution (Issue Intelligence)

• Categorizes the complaint,
• Directs it to the relevant workflow,
• Makes an API call,
• Responds to the customer,
• Guides the agent,
• Resolves and closes the issue.

The "Future Teller" Forecasts Future Complaints

How many complaints will come from each category?
Are there any anomalies in past complaints?

Next4biz AI for accurate workforce planning.

Reads the Customer's Mind

• Performs sentiment analysis on every complaint,
• Analyzes the traces left by the customer.
• What do they think about you? Will they leave, or are they loyal?

Determines the customer satisfaction score and tells you the result.

SaaS or On-prem Chatbot

SaaS: Creates a deep learning model with Open AI by anonymizing data.

On-prem LLM: Uses advanced large language models such as Llama 3, Mistral, and Qwen 2 to ensure compliance with GDPR.

AI That Learns from User Experience

• As it learns, AI becomes more accurate than the user in determining issue categories.
• Achieves over 95% accuracy in the top 20 most frequent categories.
• Solves and closes around 20% of issues using knowledge base.

AI Built on Insights from
Legacy Data

Before transitioning to Next4biz, we can train the AI using your existing data.