Banu Ortaç

Banu is a leading expert in delivery management systems architecture, specializing in developing algorithms and AI systems. She and her highly skilled team focus on solving bottlenecks in real time, and efficiency problems in varied field operations. She has led several projects in the logistics industry, particularly in implementing machine learning solutions to enhance last-mile, macro and micro delivery operations. Her team is involved directly in field deliveries and working in warehouses, continuously improving and refining these systems and applying their developments to deep learning models. As the founder and team leader at her company, she leads the development of modular, self-auto learning systems that are positioned across various sectors. They implement this scalable platform for different sectors such as cargo, logistics, FMCG, marketplace, cold-chain logistics and courier services.

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Presentation

From data to delivery: Optimizing logistics with AI based self-learning systems

This presentation explores the application of reinforcement and deep learning in solving complex logistics problems like Last-Mile Delivery (LMD) and Full Truck Load (FTL) Vehicle Routing Problems (VRP). By integrating advanced AI techniques, companies can optimize delivery routes, minimize costs, and maximize truck utilization while adapting to real-time changes in demand and traffic. We will dive into case studies, explore deep learning's role in demand forecasting, and showcase how reinforcement learning dynamically updates routing decisions. Attendees will gain insights into how these technologies are transforming logistics and driving innovation in supply chain optimization.