AI Lead Qualification & CRM Intelligence System
Automatically prioritizing leads and routing high-intent customers for faster follow-up.
AI Automation ยท Lead Management ยท n8n ยท CRM Integration ยท AI Scoring
๐ Context
A beauty business acquires customers through a Wix landing page with a booking form.
As lead volume increased, the business needed a consistent way to identify high-intent customers and prioritize follow-up efforts.
Existing Process
- Customers submit inquiries through the website form
- Lead data is processed manually or partially automated
- No clear lead qualification system exists
- Customer data is stored without segmentation
โ๏ธ Problem
- Every inquiry received the same level of attention regardless of purchase intent.
- Sales teams spent time reviewing low-priority leads manually.
- High-intent customers were not always identified quickly.
- Lead information was fragmented across multiple tools.
- The business lacked a consistent lead qualification process.
๐ก Solution
An AI-powered lead qualification system was developed to automatically evaluate incoming inquiries and prioritize customers based on purchase intent.
Instead of manually reviewing every submission, the system analyzes customer messages, classifies leads by urgency and interest level, and automatically routes them into the appropriate CRM segments.
This enables faster response times, better prioritization, and more efficient use of sales resources.
๐ผ Business Value
- Automatically prioritizes high-intent customers
- Reduces response delays
- Improves sales team efficiency
- Creates consistent lead qualification criteria
- Standardizes lead management processes
- Scales lead processing without increasing workload
๐งฉ Process
1. Discovery & Analysis
- Reviewed the existing lead management process
- Identified qualification criteria
- Defined lead categories
2. Solution Design
- Designed AI classification logic
- Created customer segmentation rules
- Planned CRM integration
3. Development
- Built automated workflows
- Integrated AI qualification
- Connected CRM and notification systems
4. Testing
- Validated lead classification accuracy
- Tested CRM synchronization
- Verified notification delivery
5. Deployment & Optimization
- Launched the solution
- Optimized prompts
- Improved workflow reliability
๐๏ธ System Architecture
Website Form Submission โ Data Cleaning & Structuring โ AI Lead Qualification โ Hot / Warm / Cold Classification โ CRM Segmentation โ Team Notification โ Lead Tracking & Management
๐ค My Role
- Business Process Analysis
- Solution Architecture Design
- Prompt Engineering
- Workflow Development
- API & CRM Integration
- Testing & Optimization
๐ Results
- โก Reduced lead processing time from minutes to seconds
- ๐ฅ Enabled automatic prioritization of high-intent customers
- ๐ Automated qualification of all incoming inquiries
- ๐๏ธ Improved lead organization and segmentation
- ๐จ Eliminated manual lead routing and notifications
- ๐ Built a scalable lead management process
- ๐ฏ Increased sales team focus on qualified opportunities
โ๏ธ Tech Stack
Automation
AI & LLM
Integrations
- Webhooks
- Telegram API
- Klaviyo API
Data Management
Customer Acquisition
๐ผ๏ธ Screenshots / Workflow
n8n Workflow
Example Input
{
"comment": "Can I book..."
}