Walmart Apollo, LLC

Anton Valkov

Donald R High

Mario Alberto Cornejo Barriere

ChandraShekar Natarajan

Chandrashekar Natarajan

Described in detail herein are systems and methods for network environment for a dynamic learning system for object matching and substitution using hand-held electronic devices. In exemplary embodiments, a hand-held electronic device may receive a request for physical objects of which a first physical object may be unavailable. The hand-held electronic device may transmit an identifier of the first physical object to a central computing system. The central computing system may query the database to retrieve data associated with the first physical object. The centrally computing system may attempt to match the first physical object to an available physical object based on dynamically learned matching behavior using the retrieved data. In response to matching data associated with one of the available physical objects to the data associated with the first physical object the central computing system may learn to replace the first physical object on the list with the one of the available physical objects based on dynamically learned matching behavior.

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San Francisco, CA, United States of America

Anton Valkov