Kai Ni

Title: Innovations by Inventor Kai Ni

Introduction

Kai Ni is an accomplished inventor based in Chanhassen, MN (US). He holds a total of 4 patents that showcase his expertise in product optimization and recommendation systems. His work significantly contributes to advancements in retail technology.

Latest Patents

One of his latest patents is titled "Item substitution techniques for assortment optimization." This patent discloses methods and systems for optimizing a product assortment and managing product fulfillment. The method utilizes a model trained on item data to identify item substitution pairs within an item category, based on a substitutability score above a predetermined threshold. Additionally, it applies an assortment optimization model to generate recommendations for retail locations. Another notable patent is "Item recommendations using convolutions on weighted graphs." This patent outlines methods for generating item recommendations by sampling from a weighted node-based graph. The process involves selecting nodes and node pairs based on assigned weights, aggregating information from neighboring nodes, and applying a loss function to create a modified vector representation for item recommendations.

Career Highlights

Kai Ni is currently employed at Target Brands, Inc., where he applies his innovative ideas to enhance product assortment and recommendation systems. His contributions have been instrumental in improving customer experience and operational efficiency in retail.

Collaborations

Some of his notable coworkers include Amit Pande and Aparupa Das Gupta, who collaborate with him on various projects within the company.

Conclusion

Kai Ni's innovative patents and contributions to Target Brands, Inc. reflect his commitment to advancing technology in the retail sector. His work continues to influence how products are optimized and recommended to consumers.