A few weeks ago, we initiated an internal research and development project to explore the potential of artificial intelligence in optimising production processes and enhancing data value. The goal is clear: to understand how this technology can improve operational efficiency, safeguarding the company’s vast informational assets and making them even more accessible.<\/p>\n\n\n\n\n\n\n\n
In a sector where data quality is essential for analysis and strategic decisions, introducing advanced technologies is a necessary evolution to strengthen an already well-established working method.<\/p>\n\n\n\n
We aim to integrate artificial intelligence into internal processes, with the goal of improving efficiency and the capacity to interpret data.<\/p>\n\n\n\n
Engineer Sesto, CEO of SCI VALUE, explains how the company, always orientated towards maintaining a competitive advantage by using advanced tools and market foresight, is launching an internal project dedicated to artificial intelligence: ‘The aim is to explore the potential of this technology to strengthen our productive capacity while preserving the integrity and value of the informational assets upon which our system is based.’<\/em><\/p>\n\n\n\n The proprietary database includes over 500,000 suppliers coded according to geographic homogeneity criteria and classified by type (industry, wholesaler, retailer) across all of Italy. It is connected to around 30 million prices and represents one of the main strategic assets of the company. Thanks to the adoption of AI solutions, this data will be even more accessible, readable and functional, especially for the analysis and production team.<\/p>\n\n\n\n The integration of artificial intelligence into operational flows represents a strategic evolution for SCI Value. In particular, AI will significantly impact two key areas: the improvement of Reverse Value Engineering\u00ae<\/em> and the strengthening of Project Management<\/em> and Project Monitoring<\/em> activities.<\/p>\n\n\n\n 1. Reverse Value Engineering\u00ae: <\/strong> 2. Project Management and Project Monitoring: <\/strong> The effectiveness of artificial intelligence depends on the quality of the data and the ability to use it consciously. SCI Value starts from a solid and well-structured database, which will be further enhanced through investments in technology and staff training. <\/p>\n\n\n\n The integration of AI will begin with a focused pilot project, useful for testing solutions and evaluating benefits before a wider rollout. At the same time, support from technological partners with experience in real estate will be essential to accelerate the process and fully maximise results.<\/p>\n\n\n\n Artificial intelligence does not replace the SCI Value method \u2013 it enhances it. This tool allows us to work in a more precise manner, anticipate issues and offer even more targeted services.<\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" A few weeks ago, we initiated an internal research and development project to explore the potential of artificial intelligence in<\/p>\n\t\tHow artificial intelligence will enhance processes and improve service quality<\/strong><\/h4>\n\n\n\n
<\/strong> The adoption of AI systems in the proprietary RVE\u00ae process opens up new possibilities for analysis and optimisation.<\/p>\n\n\n\n\n
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<\/strong> In coordinating assignments, artificial intelligence offers planning and monitoring tools that increase responsiveness and overall vision.<\/p>\n\n\n\n\n
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