Amazon’s Project P.I. uses GenAI and computer vision to prevent damaged packages from reaching customers.

Amazon‘s new AI initiative, Project P.I., leverages GenAI and computer vision to detect product defects before they reach customers. This system scans millions of products monthly in fulfillment centers, identifying issues like damage and incorrect orders.

Traditional methods often miss defects. GenAI enables thorough scanning for damages like bent book covers. Additionally, it confirms that the product’s color and size match the customer’s order, reducing misshipments. This ensures that customers receive products in ideal condition.

GenAI improves customer satisfaction by catching defects early. It also promotes sustainability by reducing returns, preventing waste, and decreasing carbon emissions from unnecessary shipping. Enhancing manual inspections, GenAI allows faster and more accurate defect detection.

Project P.I. also uses an LLM to investigate negative customer feedback by analyzing images and confirming issues. This continuous improvement benefits customers, selling partners, and the environment, ensuring a better shopping experience.