Service Description

The service aims to support asset tracking and fleet management use cases through the combined use of selected connectivity and location technologies (e.g., GPS, WIFI, BLE, UWB), a testing facility that simulates an industrial environment and artificial intelligence algorithms and models. The service enables solution providers to test potential different AI-based use cases, such as (but not limited to):
o Intelligent route optimization: by leveraging the testing facility layout and equipment, different techniques on the vehicle routing problem (rule-based, graph-based, ML-based, etc.) can be validated;
o Automated environment navigation: developing AI-based capabilities to freely and safely move within the industrial layout;
o Distributed intelligence at fleet level: by leveraging the network infrastructure and the data inputs coming from physical assets, both static and moving ones, intelligent algorithms to manage and optimize fleet operations can be tested;
o Etc.
Expected results: Series of experiments needed to test and validate the industrial simulation model for the selected process, the route optimization algorithm and the fleet optimization algorithms adopted
Methodology:Needs and Requirements Analysis; – Analysis, of Concept; – Data Preparation Pipelines, – On site Test before Invest
Target:Manufactuiring Sector Logistic ditribuition

Improving production with AI technologies