email-recommendation

Generate customer service email replies by leveraging case data, sentiment analysis, conversation history, and knowledge base references. The skill produces multiple draft variants with tone and content tuned to SLA status and next steps.

Yes, knowledge base articles are proposed and embedded directly into the generated email responses. This provides contextual support information to customers while maintaining continuity across multi-message email threads.

SLA-aware replies tailor language and urgency based on SLA status and escalation requirements. The skill adjusts tone and messaging to match the priority level and next steps required for each case.

Thread consistency is maintained by using case details, sentiment cues, and prior communications to ensure continuity. The approach prevents redundant questions and keeps messaging aligned across the entire email thread.

Yes, the skill applies across customer service cases for acknowledgments, updates, resolutions, and escalations. It references KB articles and work notes as needed to produce appropriate draft variants for each response type.

Sentiment analysis data enhances contextual draft generation by providing sentiment cues from case history. While it improves response quality and speed, the skill also leverages case details and knowledge base references to generate professional replies.