For a recommendation system that suggests products to users in real-time, the data pipeline should be optimized for real-time processing. This involves focusing on low latency, high throughput, and efficient data processing techniques, such as data aggregation, windowing, and stateful processing. By optimizing the pipeline for real-time processing, the system can provide timely and relevant recommendations to users based on their current browsing history and preferences, improving the overall user experience.