lead_processing · ecommerce · workflow
Immobiliare.it builds conversational real estate voice agent in days using ElevenLabs
Property marketplaces face a structural tension: sellers want to avoid spam calls while buyers are often frustrated by a lack of response to listing queries, leaving inquiries unanswered and leads unqualified.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · JSON listing data input
Listing data in JSON format is taken as input to initiate a natural conversation with users.
Tools used
ElevenLabsn8nOpenAI APIsLovable
Outcome
The ElevenLabs-powered voice agent achieved more than 70% seller opt-in, raised lead qualification from 19% to 63%, increased the share of users providing a phone number from 42% to 73%, and earned positive ratings from roughly 80% of users.
What failed first
The team initially evaluated OpenAI APIs but found it lacked the flexibility and Italian language support required for the use case.
Results
Time savedfrom weeks to hours
Volumemore than 70%
Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes, 1 dropped as unverifiable.
ai agentconversational aidata extractionsummarizationvoice aiknowledge basefailure mode describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedreal estateconversion increasecustomer satisfactionthroughput increasetime savedvendor customer storycustomer supportlead processingintake to triagevoice call handling