AI examples in customer experience
How to improve your call center customer experience
Objectives
Help desk Improvement in terms of response rate, increase the customer experience and satisfaction.
Also, other essential results to measure are: cost reduction, staff training time reduction, better staff rotation on different customers
Our customer is an IT service desk that relies primarily on phone support, placing significant weight on its service desk.
Moreover, they face high call volume and couldn’t add more staff.
IT service is repetitive and stressful. Also, the IT service has a high rotation of the services they support.
This combination made it incredibly challenging to have a balanced response rate and staff expertise.
AI examples in customer experience
Quickly find the information you need, when you need it
The customer got a customized system trained on its knowledge. The system can auto-learning and managing new/replaced knowledge base content.
Also, it autonomously improves confidence and accuracy.
REQUIRED DATA
- Training dataset of 1000 questions
- Answer set
- Knowledge base sources
WHAT WE DID
- AI models to increase the ability to find the knowledge the agents need using words or phrases to return a result set of answers that best match the request.
- Text intent recognition
- Knowledge base understanding (NLU)
- Classification
- Close-text search
- Free-text search
- Self-learning system
AI Examples for Customer Experience: How To Improve Your Call Center CX
Download the Full Case Study for the CX Knowledge Base Search for Call Center
