REDtag (Relevant Events Detection tag) is a novel Predictive Logistics platform, developed to optimize the supply chain process through a knowledge-based approach. REDtag is able to clearly identify critical events context, predict future occurrences and thus paving the way for further evolutions of a smart supply chain.
Project included in the strategic research agency of the ICT pole, funded under the POR 2014-2020 of Piedmont and carried out with the contribution of resources from the European Regional Development Fund (ERDF) of the Italian State and the Piedmont Region
Log Analysis System (LAS)
Ongoing projects with Siemens (Poste Italiane) as final customer.
The platform aims to support the customer in analysing the large amount of logs produced by the DSP systems, so as to be able to properly manage them, producing easy-to-handle Production Statistics and Alerts.
The LAS system continuouslyfinds read all these logs and using ML algorithms (Binary Classifiers of ML.NET) it relevant events for each device, eventually sending them to a common server for Production Statistics monitoring.