** Intralogistics is the backbone of modern supply chains, ensuring a smooth movement of goods within warehouses, distribution centers, and manufacturing facilities. As businesses scale, optimizing internal logistics becomes critical for efficiency, cost reduction, and meeting consumer demands. The rise of automation, robotics, and AI-driven logistics has led to companies investing in intralogistics solutions to enhance productivity. Traditional logistics focus on external transport systems, whereas interlogistics optimizes internal workflows using automation, robotics, and other AI-powered systems. Businesses prioritize intralogistics to reduce operational costs, minimize errors, and improve supply chain agility. Efficiency gains, cost reduction, scalability, and sustainability are key reasons why organizations care about intralogistics. The core elements of intralogistics include material flow, data management, and warehouse management, which work together to optimize product flow, provide real-time visibility into inventory levels and order statuses, and coordinate warehouse operations. Intralogistics matters as it streamlines operations, improves accuracy, reduces costs, and adapts to business growth and fluctuating demand. The use cases of internal logistics include warehouse automation, manufacturing and production lines, e-commerce fulfillment centers, cold chain logistics for pharmaceuticals, retail and grocery distribution, and scaling intralogistics. However, challenges such as real-time tracking and visibility, integrating diverse data sources, data analytics and decision making, infrastructure, cost and ROI concerns for automation, workforce adaptation and training, and the need for specialized software to bridge data gaps between legacy systems and modern automation tools are present. AI systems for intralogistics are trained on diverse sensor data for warehouse automation, robotic navigation, and quality control, but accurate, well-labeled datasets are required to build reliable AI models. The integration of these technologies has transformed supply chains across various industries, enabling businesses to streamline operations, improve accuracy, reduce costs, and scale rapidly.