Capital One Services, LLC

Alexander Mireles

Joshua S Edwards

Lin Ni Lisa Cheng

Leeyat Bracha Tessler

Hazar Alsahnawi

Marcelo Jabif Epsztejn

Dennis Liu

Evans Yeung

Glenn Bewley

Disclosed embodiments may include systems and methods for providing modified order recommendations. Line item data from a set of transactions associated with a vendor can be collected. The line item includes transactional data such as price, quantity, and frequency. The set of transactions are associated with a plurality of customers of the vendor. Correlations between line item data can be determined via one or more machine learning techniques to train a recommendation model. An order recommendation to a customer can be determine based on the correlations of the recommendation model. An order of the customer can be modified according to the order recommendation.

Modified ordering recommendations

In some implementations, a device may obtain video and/or lidar data relating to a physical card captured while the physical card is flipped from a first side of the physical card to a second side of the physical card. The device may determine an authenticity of the physical card, where the authenticity of the physical card is based at least in part on one or more physical characteristics of the physical card identifiable from the video and/or the lidar data. The one or more physical characteristics may relate to a thickness of the physical card, a length and width of the physical card, a shape of the physical card, and/or a design feature of the physical card. The device may cause, based on a determination that the physical card is authentic, information associated with the physical card to be transmitted or stored to be used in connection with a transaction.

Authenticating a physical card using sensor data

Growing community of inventors

Clifton, VA, United States of America

Alexander Mireles