Real scenarios showing what the customer sees, what you get, and what changes. No guarantees — just what the system is designed to do.
A family-owned Tex-Mex restaurant in Houston closes at 10pm, but gets 15–20 calls after hours for reservations, catering inquiries, and private event requests. Every call goes to voicemail. Most callers never call back — they book somewhere else.
Luna AI answers every inquiry 24/7 in English and Spanish. She knows the full menu, catering packages, pricing, and hours. She captures party size, date preferences, and contact info — then books directly or flags for morning follow-up.
At 11:15pm, a customer asks about catering for a quinceañera. Luna responds in Spanish within seconds — asks about guest count, date, budget, and dietary needs. Confirms next steps and sends a booking link for a follow-up call.
Lead scored 82/100 (large event, date confirmed, budget stated). Instant notification on phone. Full conversation log in CRM. Follow-up email sent automatically with catering menu and booking link.
3–8 additional bookings per week from previously missed after-hours inquiries. One recovered catering event can cover the monthly system cost.
Estimates based on typical inquiry volume. Actual results vary by location and market.
A roofing contractor in San Antonio misses 5–7 quote requests per week while working on job sites. By the time he calls back, homeowners have already booked another contractor. The first responder wins.
Luna captures every inquiry instantly — project type, address, roof age, insurance status, timeline. She scores leads by urgency (insurance claim = hot) and sends details to the contractor's phone within seconds.
A homeowner submits a quote request at 2pm. Luna responds immediately, asks about storm damage, square footage, and timeline. Confirms the contractor will reach out within an hour with an estimate range.
Lead scored 88/100 (insurance claim, urgent timeline). SMS alert with all project details. Address and photos captured. Quote appointment auto-booked for the next morning.
4–6 recovered quote requests per week. Faster first response increases close rate — in contracting, the first callback wins 60%+ of jobs.
Industry statistic is approximate. Individual results depend on market and response time.
A dental clinic in The Woodlands has one front desk person handling check-ins, insurance calls, and new patient inquiries simultaneously. During peak hours, 3 out of 5 new patient calls go unanswered. Over 40% of their patients prefer Spanish.
Luna handles all new patient inquiries 24/7 in both languages. She collects insurance info, appointment preferences, and reason for visit — then books directly into the practice management schedule. Zero front desk involvement for initial capture.
A Spanish-speaking patient inquires about a cleaning and possible crown at 8pm. Luna responds in Spanish, asks about insurance, preferred dentist, and available times. Appointment confirmed for Thursday at 2pm with a reminder set.
New patient lead scored 75/100 (insurance confirmed, specific treatment needed). Appointment booked automatically. Patient info pre-populated in CRM. Front desk gets a summary — not an interruption.
5–12 new patient inquiries handled per week without additional staff. Bilingual coverage captures a segment many clinics miss entirely.
Results depend on practice location, marketing, and current inquiry volume.
A real estate team in Austin gets 40+ Zillow and Realtor.com leads per month. Average response time: 3 hours. Industry data shows leads contacted within 5 minutes are 21x more likely to convert. Most leads go cold before first contact.
Luna responds to every lead within seconds — qualifies by budget, pre-approval status, timeline, and preferred neighborhoods. Hot leads (pre-approved, 30-day timeline) trigger instant agent alerts. Warm leads enter automated follow-up sequences.
A buyer submits a Zillow inquiry at 9pm. Luna responds in under 10 seconds — asks about budget range, pre-approval, neighborhoods, and timeline. Confirms a showing can be arranged and sends the agent's booking link.
Lead scored 90/100 (pre-approved, $400K budget, 30-day timeline). Routed to the agent covering that zip code. Full qualification data in CRM. Follow-up sequence running. Showing booked for Saturday.
Response time drops from hours to seconds. 40–60% improvement in lead-to-showing conversion. Team of 8 agents gets evenly distributed, pre-qualified leads.
Conversion improvement estimates based on industry speed-to-lead data. Actual results vary.
An HVAC company in Dallas loses 3–5 emergency calls every weekend to voicemail. Each emergency job averages $800–$1,500. That's $2,400–$7,500/month walking to competitors who answer the phone.
Luna captures every call and web inquiry 24/7. Emergency requests are flagged instantly with severity scoring — burst pipe at midnight scores 95/100 with immediate SMS alert. Routine requests are queued with full details for Monday morning.
AC fails at 11pm on a Saturday in July. Customer hits the website. Luna responds instantly — captures the problem, address, and urgency. Confirms a technician will call back within 30 minutes for true emergencies.
Emergency scored 95/100 — instant SMS + email alert. Full problem description, address, and customer contact. Monday morning: 8 qualified routine leads waiting in the pipeline instead of a blank voicemail box.
3–5 recovered emergency jobs per month ($2,400–$7,500 revenue). Full Monday pipeline from weekend inquiries. Faster emergency response builds reputation and reviews.
Revenue estimates based on industry averages. Results depend on service area and call volume.