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
From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
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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.
Agentic AI Platform for Tender Response
The tender response process is evolving into an AI-driven model that integrates corporate knowledge, intelligent automation, and human-AI collaboration, becoming faster, more scalable, and higher in quality.
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