Benchmarking based on company vendor data
AssigneeIntuit Inc.
InventorsSigalit BECHLER, Natalie BARELIYAHU, Guy MAMAN, Daniel ZACH, Shlomi MEDALION
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AssigneeIntuit Inc.
InventorsSigalit BECHLER, Natalie BARELIYAHU, Guy MAMAN, Daniel ZACH, Shlomi MEDALION
Estimating the term…
Certain aspects of the present disclosure provide methods, processing systems, and computer-readable mediums for benchmarking based on company vendor data. Transactions identifying vendors are received for a group of companies whose industry is known. For each identified vendor, a vendor embedding is generated in the form of a vector representing a distribution of transactions for the vendor across industries represented by the companies. For each company, a company embedding is generated in the form of a vector representing an aggregation of vendor embeddings from vendors with which the company has had a transaction. The company embeddings are then clustered using an unsupervised clustering method such as k-Means clustering. For a new company, a company embedding is generated and correlated to the appropriate cluster. Based on the cluster correlated to the new company, data is generated from other companies in the cluster that may be used to benchmark the new company.
A method, comprising:
A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a processing system, cause the processing system to perform a method, the method comprising:
A system, comprising:
Dependencies are inferred from the claim text.