Case Study/ CareOps
To enhance the troubleshooting effectiveness of call center agents, the project focused on developing an intelligent support solution. This included identifying common technical issues more accurately, recommending optimal resolution steps in real time, and reducing average handling time through AI-driven guidance.
The client aimed to develop a solution that would assist customer support agents by accurately identifying the reason behind each customer inquiry and providing the most optimal resolution path. This would enhance the efficiency of support interactions, reduce resolution time, and improve overall customer experience.
Guided Resolution / Support Personalization
NLP driven text classification and issue prediction
Deep learning for accurate path mapping
