AI WhatsApp Business Automation Platform
Manual and Automation QA Engineer
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.
Tools & Technologies
Testing Tools
Technologies
Problem Statement
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.
Approach
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).
Testing & Automation 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.
CI/CD Integration
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.
Before vs After Comparisons
Manual vs Automated WhatsApp Support
Staff manually responding to WhatsApp messages during business hours, often missing messages and providing inconsistent answers.
AI-powered chatbot instantly responding to customer queries with consistent, accurate answers and seamless handoff to humans when needed.
Key Improvements
Response Time
100%Availability
200%Messages Handled/Day
15285%Response Consistency
52%Order Status Query Handling
Staff manually checking order management system, copying tracking info, and typing responses for each inquiry.
Real-time integration with Shopify/WooCommerce automatically pulling order status and sending proactive shipping updates.
Key Improvements
Time per Inquiry
99%Accuracy
14%Proactive Updates
Staff Hours/Day
100%Lead Capture & Qualification
Staff manually collecting customer information, typing into CRM, and following up when available.
AI chatbot automatically qualifies leads, captures contact info, and syncs to CRM with instant follow-up sequences.
Key Improvements
Lead Capture Rate
123%Data Entry Time
100%Follow-up Speed
100%Lead Drop-off
67%FAQ & Common Query Resolution
Staff answering the same questions repeatedly, often with slight variations causing customer confusion.
AI instantly handles 70%+ of queries with accurate, consistent responses, freeing staff for complex issues.
Key Improvements
FAQ % of Queries
0%Avg Resolution Time
99%Staff Burnout
81%Answer Accuracy
15%Customer Support Cost & ROI
Dedicated support staff handling WhatsApp messages with salary, training, and management overhead.
Subscription-based automation with unlimited conversations, 24/7 coverage, and no staffing overhead.
Key Improvements
Monthly Cost
94%Cost per Conversation
99%Conversations/Month
700%Missed Revenue
100%Manual vs Automated WhatsApp Support - Key Improvements
Order Status Query Handling - Key Improvements
Lead Capture & Qualification - Key Improvements
FAQ & Common Query Resolution - Key Improvements
Customer Support Cost & ROI - Key Improvements
Code Examples
WhatsApp Message Delivery API Test
Automated test for validating WhatsApp Business API message delivery and status callbacks.
@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.
@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.
@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);
});
} Results & Impact
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.
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