We have new developments from the innovation project Green-log: we have delivered our Augmented Intelligence Modelling Platform (AIMP).
Our AIMP offers innovative tools for managing last-mile deliveries and planning multimodal fleet operations. We have integrated advanced modules for demand prediction, optimisation, and simulation.
In this project’s deliverable, we provide a comprehensive overview of the Augmented Intelligence Modelling Platform (AIMP), emphasizing its architecture, functionalities, and methodologies designed to address the challenges of urban logistics. We also outlined the platform’s development stages, key architectural components, dependencies, and user-facing functionalities, establishing a solid foundation for its continued refinement.
Significant progress has been made in the development of the AIMP, including the creation of a Minimum Viable Product (MVP) and subsequent iterative releases, implementation of a scalable architecture, and deployment of core functionalities such as demand prediction and quick optimization. These milestones highlight the platform’s ability to deliver practical and effective solutions for real-world urban logistics scenarios.
Moving forward, development efforts will focus on:
- Expanding functionalities and ensuring compatibility across components.
- Version 3 of the platform will introduce interactive features, allowing users to adjust optimization parameters directly within the application.
- Version 4 will extend all functionalities to include all Living Labs, ensuring adaptability to diverse urban contexts.
The final version will incorporate the enhanced optimisation module, integrating simulation workflows to create a fully operational platform capable of addressing complex logistical needs.
Through continued iteration, stakeholder collaboration, and meticulous testing, the AIMP is on course to deliver a robust and adaptable solution for urban logistics, addressing the needs of Living Labs and showcasing its potential in real-world applications.
The simulation platform
Here you can have a sneak peak on how the AIMP looks like:
→ Check our Digital Twins solution