Datadriven Strategy Boosts Amazon Best Seller Success
This paper addresses the challenge of selecting products with multiple variations on Amazon. It proposes two practical methods: first, utilizing product selection tools to forecast sales; and second, analyzing the ratio of Ratings to Reviews to gain insights into user preferences. The paper emphasizes the importance of combining various data metrics to optimize inventory management, reduce operational risks, and ultimately help sellers achieve profitable growth.









