Jinyang Zhou

Title: Jinyang Zhou and Inventory Anomaly Prediction

Introduction

Jinyang Zhou is an inventor based in McKinney, Texas, and is associated with Walmart Apollo, LLC. His patent work addresses the use of machine learning to identify and correct inventory anomalies.

Latest Patents

Zhou is named on 1 patent, titled “Training and Using an Inventory Anomaly Prediction Model to Predict Inventory Anomalies.” The computerized method uses daily inventory data from a storage location as input to a pretrained prediction model. The model identifies a potential anomaly associated with an item type, prompting corrective action to address an inaccurate inventory count. The described approach can train the prediction model through a two-stage process, using a tuned outlier detection model to generate and label training data before applying machine learning techniques.

Career Highlights

Zhou’s listed invention focuses on improving inventory accuracy through automated anomaly detection and corrective action. The method is designed to help train an accurate prediction model efficiently and apply its results to inventory management.

Collaborations

Zhou is associated with Walmart Apollo, LLC. His listed coworker is Raisa Mukadam.

Conclusion

Jinyang Zhou’s patent describes a machine-learning approach for detecting inventory irregularities and supporting corrections, connecting predictive modeling with practical inventory management.