This n8n workflow streamlines the process of transcribing sales calls, analyzing them for key metrics, and storing insights to improve sales performance. The workflow is triggered manually for testing, then captures an audio file URL, transcribes the call using AssemblyAI with speaker diarization, and retrieves the transcription for AI analysis. It sends the call data to OpenAI’s GPT-4 to analyze customer engagement, interest, and upselling opportunities based on a detailed JSON schema. The insights are then stored in a Supabase database for further review. Practical applications include sales teams seeking structured call evaluations, performance improvement, and identifying upsell potential through automated call transcription and AI analysis.
Automated Sales Call Transcription and Analysis Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | httpRequest, if, manualTrigger, set, stickyNote, supabase, webhook |
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