Hello everyone. Welcome to Convert two I am. Today we'll explore how go and cloud native technologies are transforming the retail distribution. These innovations are not only improving efficiency, but also making operations more sustainable. We'll. And how retailers worldwide are using go based microservices to optimize supply chains, reduce carbon footprints, and boost the performance. I'll also share proven strategies and real world examples that have delivered measurable results in inventory management and resource allocation. Let's dive in and see a. How technology is shaping the future of retail, the rise of go in retail technology. We are seeing a big shift in retail technology and GO is playing a major role in this transformation, growing adoption, and growing such. More and more retailers are using, go for their backend systems because it's fast, reliable, and efficient. Modern infrastructure companies are moving away from traditional monolithic systems and adapting microservices, making their operations more flexible and scalable. Cloud integration retailers are leveraging cloud native technologies to improve efficiency, reduce cost, and scale their business seamlessly. Sustainability focus. With smarter resource utilization go helps retailers lower their carbon footprint and operate more sustainability. Go simplicity, speed, and ability to add in multiple processes at once. Make it an excellent charge for today's retail distribution needs next. Let's look at some real world success stories that highlight the impact of goin global retail global success stories with go. Let's see how companies worldwide are using go to improve their businesses. European grocery Chain, this company wanted faster and more efficient deliveries. By using Go microservices, they improved logistics cut fuel used by 28% and speed up deliveries by 32%. This also reduced carbon emission by 5,400 tons of a year, good for business and the environment. As a result, they achieved record ontime deliveries. Not American retailer. They struggle with inventory management. After switching to a goal-based system, they reached out 45% faster and had 15% fear. Stockouts plus software updates that used to take days now happen in minutes. Helping them react quickly to market changes. Asia Pacific Passion Distributor, they needed better demand forecasting by using AI with go based cloud apps. They improved accuracy by 37% and cut extra inventory cash by 22%. Better coordination. With manufacturers also reduce waste by 18%, helping their sustainability goals. Key takeaways. These stories show how go is making retail smarter, faster, and more sustainable, whether it's logistics, inventory, or a, or decisions. For performance metrics that matter. Let's talk about the real impact of Go in Retail measured by key performance implements, 68% faster response time retailers using Go have seen their backend system respond much faster, improving customer experience. 42% more inventory, tons. With better inventory management, businesses are restocking and selling products faster. 31% less code goes. Simplicity means fewer lines of code while maintaining the same functionality, making development more efficiency, 24% lower carbon emissions, optimizing. Resource use is helping companies reduce their environmental footprint. Our research across multiple retailers shows that go delivery is real business value. It's not just about speed of the efficiency. It is also about sustainability with low energy used and smaller logistics. Microservices architecture for retail microservices allow retailers to create flexible and scalable systems by breaking them into smaller, independent services that can grow as shrink based around the demand go is perfect for this business. It's lightweight and can handle multiple tasks at the same time. Making it ideal for these distributed systems, key areas in retailing, order processing services that handle customer transactions, payment processing, fraud detection, and order validation, inventory management, real time tracking of stock across the network, stock allocation and smart figures. For replenishment and predictive stocking, logistics optimization, planning routes, coordinating deliveries, reducing carbon emissions through efficient routing and optimizing load and delivery schedules, analytics in general. This includes data processing for business intelligence, demand forecasting, performance monitoring, and tracking sustainability metrics go ability to power the systems, choose retailers can run efficiency while adapting to customer need quickly to make project successful. There are a few key things that really matter. Strong teamwork across different areas. Uni B, a mix of retail experts and skilled go engineers. Working together, clear service boundaries. Microservices should be well defined with clear roles and connections, standardized tools. Everyone should follow the same development and deployment practices. Good performance tracking. Keeping an eye on system performance with proper monitoring and data collection is essential. Our research shows that companies that get these things right, see big benefits. Projects move 3.2 times faster, and teams are 68% more satisfied with their goal based retail systems. Then with older methods, one of the big success factors, smooth knowledge sharing between business and tech teams, especially when moving to cloud-based systems. How Ghost Concurrency helps in retail. Imagine running a retail business where thousands of customers are shopping at the same time. Keeping inventory updated, processing order smoothly, and handling request efficiently, all without slowing down can be a big challenge. That's where Goes concurrency model comes in. Real time inventory updates with Go routines. Go uses something called Go Routines, which are like super lightweight threats. This means your system can update inventory across thousands of products and the same time without using too many resources. Even during use sales event, staff levels stay accurate in real time. A single go service can handle over 10,000 inventory updates at once, way more efficiently than older technologies is smoother. Order processing with channels goes. Channels help different parts of the system talk to each other safely, so there are no mix ups or lost orders when a customer checks out. There are other flows smoothly from payment to shipping without any errors or data corruption. Thanks to this retailers see 87% fewer failed transaction even when things get busy. Better request handling with context. Ghost context package. Make sure request don't get stuck. If system is slow, are unresponsive, go can cancel those request and pre-op resources instead of letting them hang over. This has reduced manuals for stuck transactions by 94%. Saving time and keeping things running smoothly. With these smart concurrency features, retailers don't have to overspend an extra servers to handle peak traffic. They can run a fast, efficient, and reliable systems that can scale when needed. Helping both their business and environment. Open source go. Tools for retail analytics, predictive inventory management. Retailers needs to keep the right amount of stock at all times. Open source, go libraries like temporal. Go and go. Help predict demand by analyzing fast sales, weather patterns, and social trends. This means fewer empty shells and, less wasted inventory, all without needing expensive systems. Geo distribution, optimization, delivering products efficiently is key for retailers. So go based tools like Geo S two and YSRM helps businesses plan the best delivery rules and where of the locations. This reduces free use, saves money, and makes, delivers faster sustainability metrics. Processing, tracking, environmental impact is becoming more important. Specialized Go framework help retailers measure their carbon footprint across supply chains and find ways to reduce emissions. This helps businesses be more a corporately while staying efficient. The use of these open source tools has grown by 12 215% in just 18 months. Okay, and 78% of retailers report better decision making and operations. A more businesses adopt these tools. Retail is becoming smarter, faster, and a small, sustainable cloud native. Integration challenges, solution testing. Retail systems are complex, so it's important to test thoroughly across different scenarios. This helps make sure everything runs smoothly, no matter the situation. Data synchronization. With so many systems working together, keeping data consistent across all the platform is a challenge. Businesses need strong synchronization methods to our error. Security implementation, protecting customers and business data is a top priority. Strong security measures help prevent breaches and keep sensitive information safe. Legacy integration. Many retailers still use older systems, so connecting them with modern cloud native applications. Can be tricky. Yeah. Smooth integration processes keep key to the success. Go brings big benefits to cloud native retail applications, but these challenges need to be tackled early. Companies that plan ahead and theft thoroughly can launch 47% faster than those that wait to fix issues. Ladder setting clear integration patterns. I understand error handling strategies is especially helpful when linking go microservices with older retailer systems, building resell supply chains, disruption detection. Retailers need to spark problems before they cause major delays. With go forward monitoring businesses can detect supply chain issues in real time using smart sensors and an enemy detection. Alternative routing. When transportation routes are suppliers run into travel dynamic, rerun, rerouting, kicks in, go based systems quickly calculate the best alternative plans. Are parts keeping products moving without major delays? Inventory reallocation if disruption happen. Intelligent algorithm redistribute inventory across the network, making sure the most critical needs are covered. First and service levels stay high. Normal operation presumption. Once the issue is resolved, automated recovery process brings operations back to normal, reducing the need for manual fixes and saving time goals. Speed and reliability make it a perfect fit for handling supply chain changes, challenges retailers using the strategies see 76% faster recovery from destructions. And 23% lower financial impact from unexpected problems. Building resilience, supply chains, disruption detection. Retailers need to spot problems before they cause major delays. With go forward monitoring, businesses can detect supply chain issues in real time. Using smart sensors and anomaly detection, alternative routing. When transportation route or supplies run into trouble, dynamic rerouting kicks in. Go based system quickly. The best alternate paths keeping products moving without major delays. Inventory allocation. If your distraction happen, intelligent algorithm tribute inventory across a network, making sure the most critical needs to be are covered. First and service levels stay high. Normal operations resumption once the issue is resolved, automated recovery processes bring operations back to normal. Reducing the need for manual fixes and saving time, go speed. The real reliability make it perfect fit for handling supply chain challenges. Retailers using these strategies see 76% faster recovery from disruption and 23% lower financial impact. From unexpected problems, implementation roadmap, and next steps assessment page. Start by evaluating your current system to see where go can bring the most value. Key steps include reviewing your technical architecture. Analyzing sustainability impact assessing your team's skills to ensure they are ready for go pilot implementation. Next, begin with the small project focusing on microservices that will deliver tick, measurable results. These could include inventory optimization, services, distribution, routing, service engines, real time analytics pipelines. Scale and integration. Once the Pilot Pro works expands the successful patterns across your organization. This involves automating deployment with the DevOps, integrating with the legacy system, building team capabilities to scale further continuous optimization. Use metrics to keep improving your system over time. Focus on for farmers tuning, reducing their carbon footprint. Testing supply chain reseller. Start by choosing the one retail function, which clear goals around sustainability and operations. Thanks to open source framework, you will type currently see measurable results within 90 days of deployment. Thank you for this great opportunity. I have a great day. Thank you.