ChatBot - AI-Powered Customer Support Platform
Manual and Automation QA Engineer
AI-driven customer support chatbot delivering instant, 24/7 assistance with high accuracy and satisfaction.
Tools & Technologies
Testing Tools
Technologies
Problem Statement
Need for an intelligent chatbot that could handle customer queries accurately with natural language understanding and seamless CRM integration.
Approach
Designed and executed manual and automated test cases to verify chatbot response accuracy, natural language flow, and integration with CRM systems. Conducted API, functional, and regression testing.
Testing & Automation Strategy
Worked with developers and AI engineers to identify model issues, track defects, and optimize conversational accuracy. Ensured system scalability through load and performance testing.
CI/CD Integration
Integrated automated tests into Jenkins pipeline. Set up continuous testing for response accuracy validation and CRM integration verification across web and mobile interfaces.
Code Examples
API Test for Chatbot Response
Postman/RestAssured test for validating AI chatbot response accuracy.
@Test
public void testChatbotResponseAccuracy() {
String userQuery = "What are your business hours?";
Response response = given()
.header("Content-Type", "application/json")
.body("{\"query\": \"" + userQuery + "\"}")
.when()
.post("/api/chatbot/query")
.then()
.statusCode(200)
.body("response", notNullValue())
.body("confidence", greaterThan(0.8f))
.extract().response();
Assert.assertTrue(response.getTime() < 2000, "Response time should be under 2 seconds");
}Results & Impact
Validated real-time response generation and user query handling. Ensured system scalability and uptime through comprehensive load and performance testing.
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