Coupa Software Inc.

Angela Welchel

Ahmad Sadeddin

Ankit Narang

Rajiv Ramachandran

Maggie Mae Joy

Kiran Ratnapu

Rohit Jalisatgi

Prasanna Kumar

Shoan Jain

Mikin Faldu

Christopher Nicholson

Brent Knott

Raghunandan Somaraju

Anju Gupta

Daniel Benson

Dipeshkumar Vasantbhai Prajapati

Ketan Vasantkumar Darji

Fang-Kuey Chang

Rucha Apte

In one embodiment, a computer-implemented method comprises, using an e-procurement platform instance that is programmed to host thousands of user accounts that are associated with a plurality of different entities, receiving, from a buyer computer, supplier payment account data for a dataset representing a payment to a supplier; creating a cryptographically secure fingerprint based on the supplier payment account data; using the fingerprint and at least a portion of the supplier payment account data, programmatically transmitting a structured database query to a digital data repository, the digital data repository comprising at least hundreds of thousands of records of transactions that included other datasets representing other payments; in response to the querying, receiving a result set of a plurality of supplier payment datasets, based on the records of transactions, the supplier payment datasets representing past submissions of payments to the same supplier payment account that the fingerprint represents; based on the result set and a plurality of programmatic rules, calculating one or more notification metrics and selecting a notification from among a plurality of programmed notifications and transmitting, to the buyer computer, presentation instructions which when rendered using the buyer computer cause displaying the one or more notification metrics and a notification text.

Security alerts in supplier transactions

Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.

Matching past post-approved transactions with past pre-approved transactions using machine learning systems

Growing community of inventors

San Lorenzo, CA, United States of America

Angela Welchel