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AI THIS BUSINESS #002 — HOTELS
Hotels don’t need another chatbot. They need an AI employee.
A guest asks:
“Can I check in early?”
A chatbot answers.
An AI employee:
→ Identifies the guest
→ Checks the reservation
→ Checks availability
→ Applies hotel policy
→ Updates the PMS
→ Notifies staff
→ Confirms with the guest
That’s the difference.
The AI doesn’t just provide information. It takes action across hotel systems.
Stack: Next.js · FastAPI · RAG · PostgreSQL · LLM · PMS APIs
The chatbot answers questions.
The AI employee gets things done.
#upgoat
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AI Voice Agent for Real Estate Lead Booking
An AI-powered phone receptionist built for real estate agencies that answers inbound calls, qualifies leads in real time, and books showings directly to Google Calendar — all within the call itself, with no manual follow-up required.
The problem: Real estate agencies routinely lose leads to missed calls — after-hours inquiries, calls during showings, or overflow during busy periods. A slow callback often means the lead has already moved on to a competitor.
What it does:
Answers every call instantly, 24/7
Naturally qualifies the caller (buy/sell intent, area of interest, showing vs. agent call)
Collects contact details and preferred timing conversationally
Checks real-time calendar availability before booking
Prevents double-bookings and duplicate entries automatically
Confirms the appointment out loud before ending the call
Built with: Retell AI (conversational voice layer), n8n (workflow automation and business logic), Google Calendar API (scheduling)
Available for: Custom builds for real estate agencies, brokerages, or property management companies looking to stop losing leads to missed calls
Beautiful workflow by the way. My nicheeee
When a customer calls to book an appointment, the rep needs an answer immediately. Checking calendars, cross referencing routes, and manually figuring out which technician is available while someone is on the line creates delays and errors.
We designed a booking flow where the rep picks a date and the system filters to that day immediately, showing the AI recommendation for the best technician available. The rep does not have to leave the platform or put the customer on hold. The answer is already there. They confirm and move on.
The AI factors in the technician's schedule, working hours, and how much travel time the appointment adds to their route before surfacing a recommendation.
