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A development team is building a generative AI agent that provides real-time recommendations. The agent needs to process customer profiles, where each profile is a complex entity containing a customer's name, address, and a nested list of all past purchases, with each purchase having its own product ID and date. The team initially receives this data in large CSV files, but they find that parsing the nested purchase history is slow and error-prone, significantly delaying the project timeline. Which data format should the team adopt to better represent this hierarchical data, leading to faster development and more efficient processing?