Wal-mart Stores, Inc.

Coupa Software Inc.

Walmart Apollo, LLC

Arjun Ramaratnam

Kenneth Hansen

Maggie Mae Joy

Puneet Srivastava

Murad Dar

Mikin Faldu

Fang Chang

Richard Brett Gerry

Ruchitkumar A Shah

Sathya N Dharaneedharan

Kiran Ratnapu

Prasanna Kumar

Amit Vijayant

Jeffrey Hellman

Anna Smalley

Anshuman Nene

Jon Baron

Ashish Chaphekar

Justin Singer

SriKrishna Chitturi

Ethan Laub

Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

System and method for repeatable and interpretable divisive analysis

Techniques for using a graphical user interface to automatically generate expense lines from images are described herein. According to an embodiment, a server computer causes storing in a data repository, data identifying a plurality of users, the data comprising feature data extracted from one or more images of the users. The server computer receives a digital photographic image captured using a camera in a mobile computing device. The server computer identifies one or more faces in the digital photographic image and determines that the one or more faces in the digital photographic image match a particular user. The server computer generates and stores an expense line in an expense data table in the data repository, the expense line comprising an identification of the particular user.

Automatic generation of expense data using facial recognition in digitally captured photographic images

Systems and methods for guaranteed redemption of sale items. The systems and methods can include a payment system for issuing a payment instrument to a customer when the sale item is not available in a retail location. The systems and methods can further include a redemption system for redeeming the payment instrument for the sale item.

Systems and methods for sale redemption

Disclosed are systems and methods for managing transactions in which an order is specified online and payment is received at a point of sale (POS). Methods are disclosed for managing payment for such transactions at a POS, including transactions involving payment for both in-store purchases and online orders. Methods are also disclosed for managing inventory and price changes for such transactions where payment can occur at any time in a pay period following order creation. Also disclosed are methods for processing refunds for online orders for which payment was made at a POS. Finally, methods for preventing fraud and abuse as well as restricting the availability of this payment method for certain items are disclosed.

Processing online transactions

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Fremont, CA, United States of America

Arjun Ramaratnam