Blue Yonder Group, Inc.

Bharani Sarvepalli

Mayank Tiwari

Ramakrishna Perla

Ankit Belchandan

A system and method are disclosed for computer vision in-store planogram analysis. The system includes a retail entity comprising a product display area defined by a planogram, and a planogram analyzer comprising a server which trains a machine learning model to generate recommendations to optimize one or more planogram metrics using historical data and computer vision data. The system generates, by the trained machine learning model, recommendations to optimize the one or more planogram metrics, and alters the planogram based on the one or more recommendations. The system further uses the trained machine learning model with a probabilistic optimization technique approximating a global optimum to generate the one or more recommendations to optimize the one or more planogram metrics. The computer vision includes one or more of eyeball movement, eyeball engagement and eyeball lingering time.

Computer vision in-store planogram analysis

A system and method are disclosed for virtual planogram automation with computer vision, comprising a retail entity comprising a product display area; and a planogram planner configured to access images of products prior to the display of the products in the product display area, classify the images by using a convolutional neural network, assign a bounding box to the products identified in the images, localize and detect objects and estimate product dimensions corresponding to the objects, determine changes in the estimated product dimensions by comparing the estimated product dimensions with corresponding baseline product dimensions to determine whether product dimensions has changed, and determine a total area remaining in a simulated planogram for alternative product placements after factoring in the determined changes in product dimensions.

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Hyderabad Telangana, India

Bharani Sarvepalli