Radio-frequency identification (RFID) technology has become increasingly popular in various applications due to its low cost, energy efficiency, and compact size. Its versatility extends into diverse fields, prompting further research beyond its initial uses. This study explores the application of commercial RFID antennas for estimating package orientation, focusing on Phase and RSSI values. By employing machine learning algorithms, we examined sixteen different configurations and orientations of the package. Our findings indicate that the optimal RFID tag location for pose estimation can achieve an 87.7% success rate, demonstrating that the best setup involves using one antenna and one tag. This research introduces a novel framework for posture identification, showcasing RFID technology as a vital tool for both traceability and monitoring.