Project funded by CDTI – Science and Innovation Missions Program 2024
About the Project
The project aims to tackle the major current challenges in the logistics chain by developing innovative and cross-cutting technological solutions. Through collaboration between various companies in the sector, the goal is to digitally transform every link in the logistics chain by incorporating emerging technologies such as artificial intelligence, autonomous robotics, computer vision, Big Data, and blockchain. The project will address the entire logistics chain in an integrated manner with the following objectives: Integrate new autonomous driving technologies into logistics vehicles. Develop advanced onboard solutions for generating and capturing new data. Implement blockchain technologies to improve process traceability and security. Automate manual tasks to increase efficiency. Develop intelligent systems for anomaly prediction and automated decision-making. Optimize logistics operations such as truck loading, warehouse space management, and transportation routes. These actions will help move towards a more efficient, secure, and sustainable logistics system by reducing costs and operational times, while improving control and visibility across the entire supply chain.
Aquiles Solutions in Autolog
Aquiles Solutions is participating in the AUTOLOG project as a specialist in artificial intelligence and advanced information management applied to the logistics sector. Its main objective is to research and develop solutions that optimize logistics operations, enhancing operational efficiency and supply chain sustainability through advanced analytics, automation, and decision-making technologies.
Aquiles’ involvement focuses on three key areas:
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Efficient integration of logistics data through Big Data techniques to enable real-time analysis of information from multiple sources, ensuring its quality, security, and accessibility.
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Optimization of complex logistics processes using advanced algorithms tailored to dynamic environments, such as truck loading, warehouse space management, and delivery route planning.
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Application of generative AI models (LLM/GPT) to automate key tasks such as natural language-based traceability and autonomous decision-making by mobile robots (AMRs) in unforeseen situations.
Through this contribution, Aquiles is driving a smarter, more agile, and connected logistics ecosystem, aligned with the sector’s current challenges and with a clear focus on digitalization and holistic efficiency.
Project Partners
Participatin Entities
This project is funded by the Centre for the Development of Industrial Technology (CDTI) and supported by the Ministry of Science, Innovation and Universities under the 2024 Science and Innovation Missions Program. The project’s objective is to research and develop a secure architecture for the intelligent and connected vehicle (ASVIC), aiming to improve cybersecurity, reliability, and sustainability of connected automotive systems, fostering smarter, safer, and more environmentally friendly mobility.
