Good morning or good afternoon everyone. My name is Kuman and I bring with me over 15 years of experience in robust scalable enterprise applications. I'm currently working as a manager at Cognition Technology Solutions US Core, where I lead innovative technology solutions to solve complex business problems. Today I'm excited to be here to present my conference on. Transforming supply chain, smart logistics and fleet management through event driven microservices. Today I'm going to walk you through how we can transform supply chain operations using event driven microservices, a scalable, intelligent, and architecture that's already delivering measurable impact in logistics and fleet management. We are going to move beyond buzzwords and look at real world outcomes, lower costs, faster operations, and smart additions, all enabled by modern tools like Kafka, Kubernetes, and Springboard. The problem with traditional mic, traditional logistic systems. Let's start with the reality Logistics operations are under intense preserve. High delivery expectations, rising fuel costs and complex urban routing. At 60 to 80% of IT budgets in this sector go toward maintaining legacy systems. These monolithic systems are slow to update, often taking four to six hours of minor changes, vulnerability, vulnerable to downtime. Two to three hours per update cycle. Poor at scaling performance drops drastically beyond thousand users. And on top of that, and on top of that, data security concerns and lack of digital readiness make, transform make transformation. Incredibly difficult for this. We have designed our solution into microservices. Why microservices even microservices. Because microservices enabled independent deployment fee. Deployment of features can scale dynamically based on demand. And also our fault. Fault, tolerant. And resilient. Although real time evil processing, which is crucial for logistics, we have built this using Spring Boot for modular development, Kafka for event streaming and Kubernetes for auto scaling and resilience. Event driven, a architecture, high correlation accuracy, low latency and disruption detection, core use cases, fleet and logistic modernizations among them. One is real time GPS tracking implementation. Traditional GPS systems are passive and often lag. We implemented a hybrid active passive tracking model that provides five to 10 meter accuracy in cities and 15 to 20 meters in rural areas. Kafka processes up to 25,000 updates per vehicle per hour with 95% transmission success even in poor signal areas. And coming to Edge, competing for traffic management. Our edge competing setup processes, vehicle speed behavior, and violations on the edge, not on the, not in the cloud. That is 85 milliseconds. Response for speed violations, one 20 milliseconds for complex vehicle behavior. This reduces false alarms and. Cuts bandwidth usage by up to 78%. EEA route optimization. We use historical data, realtime traffic, and customer windows to dynamically reroute delivery deliveries with a result of 40% pasture road planning, 25% more deliveries per vehicle. Up to 20% reduction in the vary costs. What is the performance and business impact? Here is the results. We are seeing 45% reduction in vehicle breakdowns, 25% lower in maintenance costs, 98.5%. Fleet tracking accuracy drivers improved to 35% better driving behavior. 30% fewer accidents and 20% drop in insurance premiums. All told for a fleet of a hundred vehicles, this system saved over three 50 K annually. Just from fuel and maintenance warehouse and urban logistic improvements. Smart logic sticks isn't just about vehicles. It's about warehouses too. We reduce picking times by 38% in by 38% in using intelligent order. Batching improved space utilization by 42% through realtime inventory management and in carbon delivery. Last mile delivery cost dropped by 30%. Carbon emissions reduced by 28%. Thanks to intelligent road planning and load consolidation, the scalability and reliability and architecture benefits. Let's talk about the infrastructure. Our Kubernetes based architecture allows horizonal scaling Autoscale spots between three to 10 instances, maintains 70% CPU usage, cost optimization. Ensurers, 99.95 uptime even during updates. We also use service shedding to prevent cascading failures, active replication to recover from outages in under 30 seconds. That is what modern resilience look like, right? Even driven microservices are not just a tech trend. They are strategic advantage in the digital supply chain by shifting monolithic to modular systems. From static to real time processing, and from human guesses to a additions. We are all reshaping the way goods move through the world. This transmission is not optional, it's essential, and it's already happening. Thank you so much.