ChatBot - AI-Powered Customer Support Platform
AI-driven customer support chatbot delivering instant, 24/7 assistance with high accuracy and satisfaction.
Manual and Automation QA Engineer
OVERVIEW
An AI-driven customer support chatbot designed to deliver instant, 24/7 assistance with high accuracy and satisfaction. My focus was on ensuring smooth user interactions, accurate AI responses, and robust system performance.
TECH STACK
THE CHALLENGE
Need for an intelligent chatbot that could handle customer queries accurately with natural language understanding and seamless CRM integration.
METHODOLOGY
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.
TEST 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.
AUTOMATION PIPELINE
Integrated automated tests into Jenkins pipeline. Set up continuous testing for response accuracy validation and CRM integration verification across web and mobile interfaces.
IMPACT METRICS
Customer Support Response Time
Traditional customer support with human agents handling tickets during business hours, resulting in queue delays and inconsistent response times.
AI-powered chatbot with natural language understanding providing instant responses, escalating complex issues to human agents when needed.
Avg Response Time
100%First Contact Resolution
44%Customer Satisfaction
31%Support Availability
140%Support Team Efficiency
Support agents manually handling all queries including repetitive FAQs, password resets, and basic troubleshooting.
AI handles routine queries automatically, allowing human agents to focus on complex issues requiring empathy and judgment.
Tickets/Agent/Day
89%Repetitive Query %
88%Agent Burnout Rate
75%Cost per Ticket
79%CRM Integration Quality
Agents manually logging conversations, updating customer records, and tracking issue history in CRM.
Real-time automatic CRM updates with conversation transcripts, sentiment analysis, and customer history tracking.
Data Accuracy
28%Sync Delay
100%Missing Records
99%Time on Admin
86%CODE SAMPLES
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");
}MISSION ACCOMPLISHED
Validated real-time response generation and user query handling. Ensured system scalability and uptime through comprehensive load and performance testing.
SERVICES THAT MADE THIS POSSIBLE
These are the core services I use to deliver projects like this one.
Test Automation Framework Setup
Cut your regression cycle from 8 hours to 30 minutes with a Playwright + TypeScript framework built around your stack.
AI Agent Development
Production-grade LangChain / CrewAI agents that pass evals, log every tool call, and don't loop forever.
Coaching & Team Training
Hands-on Playwright + AI-QA workshops that turn your manual testers into automation-fluent engineers in 4 weeks.
READY TO BUILD SOMETHING SIMILAR?
Let's discuss how I can implement test automation for your project.
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