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Artificial Intelligence services for sustainability thanks to Data Reply expertise in innovative solutions able to optimize and increase the efficiency of the corporate processes.
Data Reply, always ahead in innovation, identified the Artificial Intelligence solutions as a valuable and reliable tool able to support his customer’s corporate processes. Working on data in an end-to-end matter, from their transformation up to the building of machine learning algorithms, we identified the main benefits and intervention points which could bring environmental and economical advantages to the subjects who adopt Artificial Intelligence technologies.
From data gathered on the production line to the optimization of company vehicles tracks, Artificial Intelligence applied to sustainability can be an effective actor into many companies’ ecological transition, showing in short time its applicability.
Discover here our customer’s success stories and contact us to know more.
Thanks to Artificial Intelligence it is possible to optimize the energy consumption of factories, buildings and cities. Tools such as predictive maintenance and optimized consumption scheduling can reduce energy use, minimizing the environmental impact.
The efficiency of industrial processes, combined with the prediction of production quality, reduces the use of the required resources. Optimizing these processes leads to a decrease in waste and a saving of resources both in environmental and economic terms thanks to the smaller quantity of material to be disposed of.
Is it possible to manage variability in production from renewable sources and fluctuations in demand through accurate forecasts, both for production and for demand. The forecast do not only take into consideration the consumption profiles, but also include various external and internal factors, such as the weather and characteristics of the production plants. Is also possible to apply a further optimization to the distribution network: monitoring and anticipating critical situations allows reducing inefficiencies, limiting stops and waste.
The interactions between shipment dimensions, destinations and modes of transport are very complex. Artificial Intelligence allows you to optimize to improve the efficiency of the supply chain. Artificial Intelligence can make any process related to logistics more efficient, for example workforce optimization, public transport planning or optimization of traffic management.