An intelligent WhatsApp Business chatbot that automatically qualifies inbound leads, gathers structured requirements, filters irrelevant inquiries, and forwards complete lead profiles to sales teams. Built for scalable, real-time conversations, this AI-powered lead qualification system reduces manual effort while improving response speed and data accuracy.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Sales teams often receive high volumes of unstructured WhatsApp inquiries that require manual back-and-forth before a lead is usable.
This automation replaces manual chat screening with an AI-driven conversational flow that identifies intent, asks the right questions, validates responses, and filters out non-qualified requests.
The result is faster lead response, cleaner data for sales follow-up, and consistent qualification logic across all incoming conversations.
- Ensures every inbound WhatsApp inquiry is qualified using the same logic and criteria
- Reduces time spent by sales teams on low-intent or irrelevant conversations
- Captures complete, structured lead data before human handoff
- Improves response speed and customer experience at scale
| Feature | Description |
|---|---|
| AI Intent Detection | Automatically identifies the service or request type from free-form messages |
| Dynamic Question Flow | Adjusts questions based on detected intent and prior responses |
| Lead Qualification Logic | Applies rule-based and AI-driven filters to discard irrelevant inquiries |
| Structured Data Capture | Collects contact details, requirements, timelines, and constraints |
| Conversation State Management | Maintains context across multi-message WhatsApp conversations |
| Validation & Sanitization | Ensures collected data meets required formats and completeness |
| Sales Handoff Automation | Sends fully qualified lead profiles to sales systems or inboxes |
| Logging & Conversation History | Stores full chat transcripts for review and audit |
| Rate Limiting & Cooldowns | Prevents message flooding and enforces safe interaction pacing |
| Configuration Profiles | Allows easy tuning of qualification rules and questions |
| API Webhook Support | Integrates seamlessly with WhatsApp Business Cloud API |
| Step | Description |
|---|---|
| Input or Trigger | An inbound WhatsApp message is received through the WhatsApp Business webhook. |
| Core Logic | Messages are analyzed using NLP to detect intent, validate responses, and determine the next question or action. |
| Output or Action | A fully structured lead profile is generated and forwarded to the sales team or CRM endpoint. |
| Other Functionalities | Includes retry logic for API calls, conversation persistence, and detailed interaction logs. |
| Safety Controls | Enforces rate limits, session timeouts, and compliance-safe message handling. |
| Component | Description |
|---|---|
| Language | Python |
| Frameworks | FastAPI |
| Tools | WhatsApp Business Cloud API, NLP models |
| Infrastructure | Docker, Webhook-based API deployment |
whatsapp-python-ai-lead-qualification-chatbot/
├── src/
│ ├── main.py
│ ├── api/
│ │ ├── webhook.py
│ │ └── routes.py
│ ├── chatbot/
│ │ ├── intent_detector.py
│ │ ├── conversation_manager.py
│ │ ├── question_flows.py
│ │ └── lead_qualifier.py
│ ├── integrations/
│ │ ├── whatsapp_client.py
│ │ └── sales_handoff.py
│ └── utils/
│ ├── logger.py
│ ├── validators.py
│ └── config_loader.py
├── config/
│ ├── settings.yaml
│ └── intents.yaml
├── logs/
│ └── conversations.log
├── output/
│ └── qualified_leads.json
├── tests/
│ └── test_conversation_flow.py
├── requirements.txt
└── README.md
- Sales teams use it to pre-qualify WhatsApp inquiries, so they can focus only on high-intent leads.
- Service businesses use it to collect detailed requirements before callbacks, improving close rates.
- Support-driven sales funnels use it to route inquiries automatically to the right sales channel.
- Growing businesses use it to handle higher inbound message volume without increasing staff.
How does the chatbot decide which questions to ask? The system uses intent detection combined with predefined question flows, dynamically selecting questions based on the service type and previous responses.
Can it handle multiple conversations at the same time? Yes, the chatbot maintains isolated conversation states per WhatsApp user and processes them concurrently.
Is human intervention required during conversations? No, the qualification process is fully automated. Human teams only receive finalized, structured lead data.
Can qualification rules be customized? Yes, all intents, filters, and question flows are configurable through external configuration files.
Execution Speed: Processes inbound WhatsApp messages within 300–600 ms per interaction, supporting real-time conversational flow.
Success Rate: Maintains a 92–94% successful lead qualification rate across production conversations with automated retries.
Scalability: Supports 500–1,000 concurrent active conversations using webhook-based asynchronous processing.
Resource Efficiency: Consumes approximately 80–120 MB RAM per API instance with minimal CPU usage under normal load.
Error Handling: Implements structured logging, webhook retries, validation fallbacks, and graceful recovery from API or network failures.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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