Deep understanding of hospitality & real estate sales
AI Lead Scoring & Qualification Systems
Identify high-intent leads automatically — before your sales team even replies
In Bali and APAC, leads come from everywhere: WhatsApp, Instagram, website forms, referrals, TikTok, walk-ins. But not all leads are equal. Most teams waste time answering "cold" messages while hot leads wait too long and drop off. We build AI-powered lead scoring and qualification systems that automatically: analyze lead intent, determine budget and readiness, route to the right sales manager, apply scoring rules, send personalized follow-ups, push leads into CRM with full context. Your team focuses only on the leads that matter. For WhatsApp message automation and follow-ups, see WhatsApp Sales Systems.
What We Build
AI Lead Qualification via WhatsApp & Instagram
- —AI can understand messages like: "How much is this villa?", "I'm looking at 2-bedroom options", "Do you have a viewing tomorrow?", "I'm planning a retreat for 20 people". And instantly classify them as:
- —Hot lead
- —Warm lead
- —Low-intent lead
- —Wrong audience
- —This improves reply priority and conversion rate
AI Lead Scoring Models (Real Estate / Hospitality)
- —We create custom scoring models using:
- —Budget level
- —Desired dates
- —Urgency
- —Group size
- —Preferred location
- —Type of unit/villa
- —Investment timeline
- —Engagement patterns
- —Past interactions
- —Each lead gets a score (0–100) inside your CRM
Intent-Based Auto-Routing
- —Leads automatically go to:
- —Senior sales
- —Junior sales
- —Concierge
- —Booking manager
- —Property specialist
- —International sales
- —Indonesian-speaking team
- —Zero manual sorting
Score-Based Response Prioritization
- —Based on score and intent, the system recommends response priority, suggested messages and next steps. Final outreach and automation execution happens in your sales or WhatsApp systems.
- —Response priority recommendations
- —Suggested message templates
- —Next steps guidance
- —Timing recommendations
- —Channel recommendations
- —Property/villa recommendations
- —Brochures or menus suggestions
Qualification Funnels
- —We build dynamic qualification flows tuned for Bali/APAC. Funnels define qualification logic and scoring signals — not full booking or sales workflows. For booking flows and inquiry handling, see Booking & Inquiry Systems.
- —For hospitality: dates → guests → budget → preferred villa/room → availability
- —For real estate: investment goal → unit type → budget → location → viewing date
- —For wellness: program type → health goals → duration → group size
- —AI guides users through the steps, making qualification feel natural
CRM Integration (HubSpot / Bitrix24 / Notion / Supabase)
- —AI enriches leads with scores and intent data and syncs them into your CRM. CRM remains the system of record for sales actions. For full CRM pipelines and automation, see CRM Integration & Lead Automation.
- —Score
- —Intent
- —Conversation summary
- —Preferred unit/package
- —Next steps
- —Tags
- —Source
- —Sales teams see everything instantly
Tech Stack We Use
AI & Machine Learning
Advanced AI technology: • OpenAI GPT-4o / GPT-o-mini • DeepSeek • Llama 3.1 • Supabase Vector DB • Custom intent models
Integrations & APIs
Seamless connections. The system focuses on intent analysis and scoring, not message blasting or campaign automation. • WhatsApp Cloud API • Instagram DM API • Next.js / Node backend
Who This Is For
Real estate developers & agencies
Villa agencies & boutique hotels
Retreat organizers & wellness studios
Education & coaching platforms
Agencies with high inbound flow
Events & experiences
Property investment companies
Any business with high inbound volume benefits from AI qualification
Pricing (Bali, Indonesia)
Why Bali & APAC Businesses Choose Us
AI models trained on your real dialogs
Fast delivery (3–14 days)
Multilingual agents (EN/ID/RU/AR/CN)
Strong CRM + WhatsApp integration
Scalable automation (not no-code hacks)
Related Case Studies
See how we've helped businesses in Bali and Indonesia achieve their goals with similar projects.


