公开(公告)号：US20230267481A1

公开(公告)日：2023-08-24

申请号：US17675817

申请日：2022-02-18

Applicant: salesforce.com, inc.

Inventor： Akash Singh ,  Rajdeep Dua

IPC: G06Q30/02 ,  G06N3/04 ,  G06Q10/08

CPC classification number: G06Q30/0202 ,  G06N3/0445 ,  G06Q10/087

Abstract: A hierarchical neural network for predicting out of stock products comprises an input layer that receives data from data sources that store disparate datasets having different levels of attribute detail pertaining to products for sale in stores of a retailer. A first level of neural networks processes the data from the data sources into respective learned intermediate vector representations. A second level comprises a concatenate layer that concatenates the learned intermediate vector representations from the second level into a combined vector representation. A third level comprises a feed forward network that receives the combined vector representation and outputs to the retailer an out of stock probability indicating which store and product combinations are likely to have out of stock products over a predetermined timeframe.

公开(公告)号：US20230222178A1

公开(公告)日：2023-07-13

申请号：US17573585

申请日：2022-01-11

Applicant: salesforce.com, inc.

Inventor： Akash Singh ,  Debadri Basak ,  Mohan Krishna Kusuma ,  Rajdeep Dua ,  Gowri Shankar Raju Kurapati ,  Shashank Tyagi

IPC: G06K9/62 ,  G06N5/02 ,  G06F3/0482

CPC classification number: G06K9/6257 ,  G06N5/025 ,  G06F3/0482

Abstract: A method and system for synthetic data generation are provided that receive a schema configuration file in a synthetic data set request from a client application, create a set of worker processes to generate the synthetic data set based on the schema configuration file, upload the generated synthetic data to an analytics platform, and enable the client application to utilize the generated synthetic data in prediction models for the analytics platform.