RTX had four patents in ecommerce during Q4 2023.RTX Corp’s patent for an SKU management system involves encoding catalog data into embeddings per catalog item, creating an embedding space by generating an index, denormalizing it using customer groups, and compressing columns. A machine learning model is trained using catalog data to encode item similarity by clustering catalog SKUs into groups in the embedding space, making it easier to search for specific catalog items. GlobalData’s report on RTX gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
RTX grant share with ecommerce as a theme is 75% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Effective stock keeping unit (SKU) management system (Patent ID: US20230316353A1)
The patent filed by RTX Corp describes a system for managing stock keeping units (SKUs) by encoding catalog data into an embedding per catalog item. This embedding space is created by generating an index, denormalizing it using customer groups, and compressing the number of columns to create the embedding space. A machine learning model is trained using catalog data to cluster catalog SKUs into groups in the embedding space, allowing for efficient searching of catalog items based on item similarity.
The system involves encoding catalog item data into fingerprints, storing them in a matrix, and compressing the matrix to create a thin matrix. An autoencoder is trained on catalog data to derive the fingerprints, which are then clustered into groups in an embedding space for efficient searching of catalog items. The catalog data can include categorical, numerical, or open-ended text fields, which are pre-processed accordingly for transformation into numerical fingerprints, ultimately aiding in the clustering and searching processes within the embedding space.
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