Fresh food supply and last mile optimization with NebulOuS:
transforming a 24/7 hub
USE CASES OWNERS
LOCATION: Spain
DOMAIN
Transport
and logistics
Mercabarna (MrB) is a food city that operates 24 hours a day with the aim of guaranteeing the continuous supply of fresh food to the public. The facility houses 600 companies specializing in the distribution, preparation, import/export of fresh and frozen products.
Under this environment, the main challenge of Mercabarna is to improve the management of fresh and frozen products, and in general freight exchange, from the point of view of the product value chain considering the logistics – especially focusing inside Mercabarna’s premises, but also considering information and decision-making indicators coming from the outside.
This pilot has two key goals, which are divided into two different use cases:
Use case 1: Supply of fresh food to a city
Development of Mercabarna’s internal traffic Digital Twin to support intra-logistics operations management
Methodology
Decentralized management for seamless operations
Using AI algorithms to track vehicles from CCTV cameras, this use case aims to provide facility managers with a tool for real-time traffic tracking and simulating policies to alleviate road congestion. A Digital Twin approach will be introduced, which will enable efficient and decentralized management, harmonizing the Cloud-Edge continuum for transportation processes.
Use case 2: Last mile delivery optimization
Capture and management of the data on trucks’ destination (city areas) to improve the last mile goods distribution in the city
Methodology
Streamlined smart routes
Over 7,000 trucks leave Mercabarna’s facilities daily, congesting Barcelona’s streets and competing for parking space. This use case aims to create a real-time system for monitoring transport vehicles and providing efficient routes. Using a Digital Twin approach combined with the NebulOuS Meta OS, it will enable AI-driven recommendations for delivery routes based on live traffic data.
BENEFITS
Improved supply chain efficiency
Real-time monitoring (including GPS)
Constant monitoring of delivery routes using real-time data, thanks to the integration of IoT/sensors and edge processing.
Optimized route planning
Utilize cloud-based computing to plan optimal delivery routes by considering multiple factors.
Enhanced data analysis
Ensure the efficient use of resources and infrastructure.
