Skip to main content
/tayyab/portfolio — zsh
tayyab
TA
> OPERATION: AI WhatsApp Business Automation Platform | STATUS: COMPLETE ✓
API Automation

AI WhatsApp Business Automation Platform

AI-powered WhatsApp Business automation platform enabling e-commerce and local businesses to automate customer conversations, order tracking, FAQ responses, and lead capture at scale.

Manual and Automation QA Engineer

OVERVIEW

As a Manual and Automation QA Engineer, I was responsible for testing and validating an AI-powered WhatsApp Business automation platform designed for e-commerce stores and local businesses. The platform leverages the WhatsApp Business API with AI-driven conversation flows to handle customer inquiries, provide real-time order status updates, automate FAQ responses, and capture leads 24/7. My focus was on ensuring reliable message delivery, accurate AI responses, seamless e-commerce integrations, and robust webhook processing.

TECH STACK

Testing Tools
Selenium WebDriverPostmanJIRATestNGJenkinsk6Twilio API
Technologies
PythonNode.jsAgileWhatsApp Business APIWebhooksREST APIsRedisMongoDB

THE CHALLENGE

E-commerce businesses and local shops struggled to manage high volumes of customer inquiries on WhatsApp manually. Staff couldn't respond 24/7, leading to missed sales opportunities, delayed order status updates, and frustrated customers asking repetitive FAQ questions. Businesses needed an affordable automation solution that could handle conversations at scale while maintaining a personal touch.

METHODOLOGY

Designed and executed comprehensive test suites for WhatsApp Business API integration, AI chatbot conversation flows, order status webhook processing, and lead capture workflows. Validated message template approvals, delivery receipts, media handling, and multi-language support. Performed end-to-end testing for e-commerce platform integrations (Shopify, WooCommerce).

TEST STRATEGY

Collaborated with developers and AI engineers to test conversation flow accuracy, intent recognition, and fallback handling for edge cases. Performed API testing for WhatsApp Cloud API endpoints, webhook signature verification, and rate limit handling. Conducted load testing to ensure platform stability during high-volume campaigns and flash sales.

AUTOMATION PIPELINE

Integrated automated API tests with Jenkins for continuous validation of message delivery, webhook processing, and AI response accuracy. Set up monitoring for message delivery rates, response latency, and conversation completion metrics. Implemented automated regression tests for each WhatsApp API version update.

IMPACT METRICS

Manual vs Automated WhatsApp Support

3909% avg
⟨ Manual Responses

Staff manually responding to WhatsApp messages during business hours, often missing messages and providing inconsistent answers.

⟩ AI Automation

AI-powered chatbot instantly responding to customer queries with consistent, accurate answers and seamless handoff to humans when needed.

// KEY_METRICS

Response Time

100%
Manual Responses 2-4 hours
AI Automation <5 seconds

Availability

200%
Manual Responses 8 hrs/day
AI Automation 24/7

Messages Handled/Day

15285%
Manual Responses 50-80
AI Automation Unlimited

Response Consistency

52%
Manual Responses 65%
AI Automation 99%

Order Status Query Handling

53% avg
⟨ Manual Lookup

Staff manually checking order management system, copying tracking info, and typing responses for each inquiry.

⟩ Automated Tracking

Real-time integration with Shopify/WooCommerce automatically pulling order status and sending proactive shipping updates.

// KEY_METRICS

Time per Inquiry

99%
Manual Lookup 5-8 minutes
Automated Tracking 3 seconds

Accuracy

14%
Manual Lookup 88%
Automated Tracking 100%

Proactive Updates

Manual Lookup None
Automated Tracking Automatic

Staff Hours/Day

100%
Manual Lookup 4 hours
Automated Tracking 0 hours

Lead Capture & Qualification

98% avg
⟨ Manual Collection

Staff manually collecting customer information, typing into CRM, and following up when available.

⟩ AI Lead Capture

AI chatbot automatically qualifies leads, captures contact info, and syncs to CRM with instant follow-up sequences.

// KEY_METRICS

Lead Capture Rate

123%
Manual Collection 35%
AI Lead Capture 78%

Data Entry Time

100%
Manual Collection 8 min/lead
AI Lead Capture 0 (Instant)

Follow-up Speed

100%
Manual Collection 24-48 hours
AI Lead Capture Immediate

Lead Drop-off

67%
Manual Collection 55%
AI Lead Capture 18%

FAQ & Common Query Resolution

49% avg
⟨ Repetitive Manual Answers

Staff answering the same questions repeatedly, often with slight variations causing customer confusion.

⟩ AI FAQ Bot

AI instantly handles 70%+ of queries with accurate, consistent responses, freeing staff for complex issues.

// KEY_METRICS

FAQ % of Queries

0%
Repetitive Manual Answers 70%
AI FAQ Bot 70% (Auto)

Avg Resolution Time

99%
Repetitive Manual Answers 15 minutes
AI FAQ Bot <10 seconds

Staff Burnout

81%
Repetitive Manual Answers High
AI FAQ Bot Low

Answer Accuracy

15%
Repetitive Manual Answers 82%
AI FAQ Bot 94%

Customer Support Cost & ROI

248% avg
⟨ Manual Support Team

Dedicated support staff handling WhatsApp messages with salary, training, and management overhead.

⟩ AI Automation Platform

Subscription-based automation with unlimited conversations, 24/7 coverage, and no staffing overhead.

// KEY_METRICS

Monthly Cost

94%
Manual Support Team $3,500
AI Automation Platform $199

Cost per Conversation

99%
Manual Support Team $2.80
AI Automation Platform $0.02

Conversations/Month

700%
Manual Support Team 1,250
AI Automation Platform 10,000+

Missed Revenue

100%
Manual Support Team $2,000/mo
AI Automation Platform $0

CODE SAMPLES

WhatsApp Message Delivery API Test

Automated test for validating WhatsApp Business API message delivery and status callbacks.

java
JAVA_EXECUTION
→ Ready
@Test
public void testWhatsAppMessageDelivery() {
    String phoneNumber = "+1234567890";
    String templateName = "order_confirmation";

    Response response = given()
        .header("Authorization", "Bearer " + WHATSAPP_ACCESS_TOKEN)
        .header("Content-Type", "application/json")
        .body("{" +
            "\"messaging_product\": \"whatsapp\"," +
            "\"to\": \"" + phoneNumber + "\"," +
            "\"type\": \"template\"," +
            "\"template\": {" +
                "\"name\": \"" + templateName + "\"," +
                "\"language\": {\"code\": \"en\"}" +
            "}" +
        "}")
    .when()
        .post(WHATSAPP_API_URL + "/messages")
    .then()
        .statusCode(200)
        .body("messages[0].id", notNullValue())
        .extract().response();

    String messageId = response.jsonPath().getString("messages[0].id");

    // Verify delivery status via webhook
    await().atMost(30, SECONDS).until(() ->
        webhookReceiver.hasStatus(messageId, "delivered")
    );
}

AI Chatbot FAQ Response Test

Test for validating AI-powered auto-reply accuracy for customer FAQs.

python
PYTHON_EXECUTION
→ Ready
@pytest.mark.asyncio
async def test_faq_auto_reply_accuracy():
    """Test AI chatbot responds accurately to common FAQs."""
    test_cases = [
        {"query": "What are your store hours?", "expected_intent": "store_hours"},
        {"query": "Where is my order #12345?", "expected_intent": "order_status"},
        {"query": "How do I return a product?", "expected_intent": "return_policy"},
        {"query": "Do you offer free shipping?", "expected_intent": "shipping_info"},
    ]

    for case in test_cases:
        response = await client.post(
            "/api/v1/chatbot/process",
            json={
                "phone": "+1234567890",
                "message": case["query"],
                "channel": "whatsapp"
            },
            headers={"Authorization": f"Bearer {API_TOKEN}"}
        )

        assert response.status_code == 200
        result = response.json()

        assert result["detected_intent"] == case["expected_intent"]
        assert result["confidence_score"] >= 0.85
        assert result["response_text"] is not None
        assert response.elapsed.total_seconds() < 2.0

E-commerce Order Webhook Test

Test for validating Shopify order webhook triggers WhatsApp notification.

java
JAVA_EXECUTION
→ Ready
@Test
public void testOrderStatusWebhookNotification() {
    // Simulate Shopify order status update webhook
    String orderId = "ORD-" + System.currentTimeMillis();
    String webhookPayload = "{" +
        "\"id\": \"" + orderId + "\"," +
        "\"status\": \"shipped\"," +
        "\"tracking_number\": \"1Z999AA10123456784\"," +
        "\"customer_phone\": \"+1234567890\"" +
    "}";

    String signature = generateHmacSignature(webhookPayload, WEBHOOK_SECRET);

    Response response = given()
        .header("Content-Type", "application/json")
        .header("X-Shopify-Hmac-SHA256", signature)
        .body(webhookPayload)
    .when()
        .post("/webhooks/shopify/order-update")
    .then()
        .statusCode(200)
        .body("processed", equalTo(true))
        .body("whatsapp_message_queued", equalTo(true))
        .extract().response();

    // Verify WhatsApp message was sent
    await().atMost(10, SECONDS).until(() -> {
        return messageLogRepository.findByOrderId(orderId)
            .map(log -> log.getStatus().equals("sent"))
            .orElse(false);
    });
}

MISSION ACCOMPLISHED

Achieved 99.2% message delivery success rate with proper retry mechanisms. Validated AI response accuracy at 94% for common customer queries. Ensured platform handled 10,000+ concurrent conversations during peak load testing. Successfully tested integrations with Shopify, WooCommerce, and custom e-commerce platforms with zero data loss.

// interested?

READY TO BUILD SOMETHING SIMILAR?

Let's discuss how I can implement test automation for your project.

→ Get in Touch
Available for hire