What’s been your approach to managing data quality for AI in e-commerce?

At Sky Solution, we've noticed that AI performance is only as good as the data it’s trained on, especially in e-commerce where customer data can get messy fast. How do you ensure data quality to keep AI recommendations accurate? Any strategies or tools that have worked well for you?