Walmart Apollo, LLC

Aditya Reddy Cheruku

Kishore P Sasthiri

Tarun Dasari

Anand Banik

Sumanth B Talasila

Murthy Narayana Kolluru

Stephen Steel

Hamza Farooq

Trinath Patri

Snigdha Gutha

Murthy N Kolluru

Alejandro Garcia

A supply chain forecasting system with blockchain controls is discussed. The supply chain forecasting system can include a central computing system communicating with a third party computing system. The central computing system and third party computing system can initiate, adjust, and fulfill smart contracts associated with the delivery of physical objects using blockchain controls.

System and method for forecasting deliveries via blockchain smart contracts

System and method for forecasting deliveries via blockchain smart contracts using hyperspectral computer vision

Embodiments of a system for food quality image classification are disclosed for classifying food items as either damaged or not damaged, and if damaged, the type of damage. Damage classification may be performed in multiple stages, for example, RGB data may be used in a first classification, and HSV data may be used in a second classification, such as whether damage is from bruising or decay. Blurring may improve determination accuracy, and an ongoing feedback and training loop may improve accuracy results over time.

Food quality image classification

In some embodiments, apparatuses and methods are provided herein useful to monitoring retail products. In some embodiments, there is provided a system for monitoring retail products including: one or more shelf image capturing devices disposed within a retail shopping facility. The one or more shelf image capturing devices configured to capture shelf images of retail store shelves. The captured shelf images having an associated shelf timestamp. By one approach, a control circuit in communication with the one or more shelf image capturing devices is configured to analyze the captured shelf images by comparing brightness, contrast levels, and luminous intensity at a particular frequency between at least two shelf images of the captured shelf images to determine a rate of shelf product depletion for a particular retail product and send a shelf depletion warning regarding a particular retail item to an associate device or a central computer.

System and method for managing retail products

In some embodiments, systems, apparatuses and methods are provided herein useful for monitoring retail products including: one or more shelf image capturing devices disposed within a retail shopping facility; one or more stock image capturing devices disposed within a stockroom of the retail shopping facility; and a control circuit in communication with the one or more shelf image capturing devices and the one or more stock image capturing devices. The control circuit may configured to: analyze the captured shelf images and associated shelf timestamp to determine a rate of shelf product depletion for a particular retail product; analyze the captured stock images and the associated stock timestamp to determine a rate of stock depletion; compare the rate of shelf product depletion and the rate of stock product depletion; and send a stock depletion warning regarding a particular retail item to a supply chain management server.

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Bentonville, AR, United States of America

Aditya Reddy Cheruku