Productiv, Inc.

Shantanu Kumar

Ashish Aggarwal

Suresh Parameshwar

Mengsu Chen

Sharan Jhangiani

Aditya Jayan

Gaurav Sood

A Software as a Service (SaaS) management platform (SMP) is provided, the SMP configured to perform a method including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Efficient and accurate matching of expenses to software in a SaaS management platform

A non-transitory computer-readable medium having program instructions for a method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

A software as a service (SaaS) management platform, includes: an uploader process for receiving a plurality of contract files relating to purchases of a SaaS application; parsing logic that identifies terms in the plurality of contract files; normalization logic for assigning a normalization SKU to respective contract files based on the terms identified in the respective contract files; a background process that generates anonymized contract data by storing the terms of each contract file in association with the normalization SKU assigned to the contract file in an anonymous manner; a backend process that, responsive to a request from a client device, accesses the anonymized contract data to generate a distribution of terms of the anonymized contract data, generates benchmark data identifying an approximate location of terms of a given customer's contract file within the distribution, and returns the benchmark data to the client device for rendering through a user interface.

SaaS application contract terms benchmarking in a SaaS management platform

A method implemented in a software as a service (SaaS) management platform, includes: receiving a plurality of contract files relating to purchases of a SaaS application; identifying terms in the plurality of contract files; assigning a normalization SKU to respective contract files based on the terms identified in the respective contract files; generating anonymized contract data by storing the terms of each contract file in association with the normalization SKU assigned to the contract file in an anonymous manner; responsive to a request from a client device, accessing the anonymized contract data to generate a distribution of terms of the anonymized contract data, generating benchmark data identifying an approximate location of terms of a given customer's contract file within the distribution, and returning the benchmark data to the client device for rendering through a user interface.

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San Francisco, CA, United States of America

Shantanu Kumar