Case Study
The process consisted of two different steps:
The work carried out has highlighted a high level of rigidity in the processes, which are too structured, and a poor integration of the group companies acquired over time. In addition, we found a diversified technological context that does not favour the homogeneity of data flows and the correct support of business processes.
35 criticalities identified
+80% of the areas involved.
Impacts
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
CompSTLar: Boosting the digital transformation of aviation supply chains
A new integrated and interoperable search ecosystem enabling faster and more informed decisions along the aircraft supply chain.
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
CompSTLar: Boosting the digital transformation of aviation supply chains
A new integrated and interoperable search ecosystem enabling faster and more informed decisions along the aircraft supply chain.
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