The customer operates a vast and complex ecosystem where hundreds of critical activities are performed daily by a large workforce. However, many of these processes were still manual, leading to delays, inefficiencies, and increased operational costs. The company relied on a 20-year-old database for data retrieval and management, which struggled to keep up with the growing demands of a modern, data-driven industry. This outdated system resulted in data silos, slow processing times, and limited scalability, making it difficult to optimize its operations.