Hello, everyone. Hope you're doing well. First of all, thank you all for taking time to join my talk. Today I'm discussing about human AI collaboration in food delivery. This presentation mainly talks about how AI artificial intelligence system, will help in food delivery platforms and what are the key benefits, and the areas where we have to mainly concentrate or to integrate AI in the food delivery chain. So I will be discussing in this, presentation, regarding communication safety, voice ordering system, advanced data engineering applications and technical challenges with their solutions, to integrate AI in food delivery platforms. So if you look at the food delivery industry, there are around 190 billion market size. And also there is a potential growth of 10. 8 percent annual growth through 2030, which can help improve if you transform digital transformations and changing the customer habits. There are like 73 percent of the mobile orders in past some years. So you can understand How this AI is important to integrate with the mobile technologies as well. So the food delivery industry has transformed from a convenience to a cornerstone of modern urban life. This evolution is catalyzed by the perfect storm of technological advancement, shifting consumer behaviors and growing premium places. Place it to time efficiency. Artificial intelligence has become increasingly sophisticated. It's not just enhancing existing service. It's fundamentally remaining how food delivery platforms operate and interact with the customers. So we are introducing one of the application, which is a safe chat place, which is AI powered communication safety, which runs on advanced NLP architecture, which can give you a 94. 3 percent accuracy in detecting inappropriate content. It also, do a high performance processing of 1400 messages per minute with less than 50 milliseconds latency across five major languages. So 82 percent faster incident response compared to traditional human moderation. And, 70 percent improvement in driver satisfaction rating with 63 percent fewer communication disruptors. A enhanced voice operating system comes with speech recognition, order processing, efficiency, customer satisfaction. in this, system seamlessly combines advanced machine learning with a strategic human oversight, transforming restaurant operations by dramatically cutting wait times and reducing error. This sophisticated system not only streamlines ordering process but also enables staff to focus on delivery exceptional customer service resulting in measurably higher customer satisfaction and retention as well as improving the growth of the sales. Advanced data engineering applications also comes with, machine learning infrastructure, process 15 petabytes of real time data daily, and also smart algorithms deliver 25 percent higher search accuracy, AI driven suggestions boost orders by 28%, and dynamic routing cuts delivery time by 18%. This engineering framework harnesses enterprise scale machines. learning to transform vast amount of data into actionable insights. This system offers millions of real time signals to optimize every aspect of our platform, from personalized customer experience to fleet management, establishing new benchmarks for operational excellence in food delivery. We, follow some, strategies for the implementation. one is, One is the data driven decision making, which is leverage real time analytics to track over 200 critical performance metrics, enabling proactive issues detection and automated response protocol across operationals. Orchestrate 800 simultaneous A B tests monthly to optimize algorithms, resulting in consistency, improved delivery accuracy, and customer satisfaction. Seamlessly coordinates 12 million daily human AI interactions with 92 percent concordance rate. ensuring reliable and efficient service delivery while maintaining human oversight. There are technical challenges majorly on scaling the system and performance of the system. So our system handles a strategic 2. 4 million concurrent transactions per hour during peak times, processing an exceptional 4. 8 TB of data hourly through our distributed computing architecture. This massive throughput requires sophisticated load balancing and real time data optimization techniques. It also supports six major languages, achieving an industry leading 93. 2 percent accuracy in natural language processing and intent recognition. Our advanced neural network continuously learns from interaction to improve cross cultural communication nuances. There also we need to talk about reliability, which delivers. Enterprise grade reliability with 99. 95 percent uptime during peak traffic periods through advanced predictive scaling algorithm and redundant infrastructure. Our proactive monitoring system anticipates demand spikes and automatically adjusts resources to maintain consistent performance. So some more technical challenges while integrating considerations. So AI handoff orchestration over 72k seamless AI humans transitions daily with AI industry leading 94. 8 percent context retention rate, ensuring continuous service quality. It also manages and synchronizes 2. 8 TB of mission critical operational data hourly across eight distributed geographical regions with sub second latency. We also need to talk about privacy and security. We safeguards 12 million daily transactions through military grade encryption protocols and real time threat. detection systems. You can see the, graph of the, some of the key metrics where, sets relevancy improved, customer satisfaction also improved, order frequency, improved, order value also improved, delivery time reduction also down, and, operation efficiency also improved drastically. So we are also looking for the future, trends and opportunities, by integrating AI. So there is an autonomous delivery, so we can see like a revolution in self driving vehicles are coming and AI powered drones are transforming last mile deliveries and promising faster delivery times while reducing operational costs and environmental impacts. You can also, introduce, new technology, called AR VR experiences where people can, imagine how and what the food look like and, how the, how it looks in outstanding 3D details and take virtual tours of restaurants and revelations in the digital dining experience. We can also implement our personalized nutrition. Where, Advanced AI algorithm analyzes individual health metrics, dietary preferences, and nutritional needs to provide tailoring meal recommendations that optimize both health outcomes and dining satisfactions. The final conclusion, technology evolution, the integration of AI has fundamentally transformed the food delivery landscapes, setting new industry standards for efficiency, scalability, and customer experiences. And there is a hybrid approach. Our strategic combination of AI automation and human expertise creates a resilient operational framework that maximizes technical capabilities while preserving the essential human touch. Continuous innovation, successes in the rapidly evolving the space depends on building a flexible, future ready systems that prioritize user needs while consistently adapting to merge technology and market demands. Not only this, we can improve the customer satisfaction, reduce the delivery timings, and, support, customer, experience, and, give them, healthy dietary recommendations based on their habits and, improve the, very good extent of the customer satisfaction and, improve the sales of the, Food delivery chain and so many other things by including this AI into food delivery platform. That's all for today. Thank you so much for joining my talk. Hope you find good information in my presentation today. all.