Building Data Center Construction Plans with Generative AI

This case study details a collaboration between a multinational technology company and Genpact to enhance the efficiency of data center construction. The company aimed to launch 50 to 100 new data centers annually, necessitating a faster method to extract and identify part numbers for construction. The existing process was hampered by scattered information across various formats, making it slow and error-prone. Genpact implemented tools to extract part numbers from multiple documents and developed a generative AI solution to validate these numbers and create accurate bills of materials. This innovation significantly reduced the time required for data collection from months to weeks, enabling the company to meet its ambitious growth targets. The generative AI system improved data integrity and centralized information, allowing for better decision-making and operational efficiency. The case study illustrates how advanced technology can streamline processes and support scalability in data center operations.