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AssigneeBlue Yonder Group, Inc.
InventorsMayank Tiwari, Ramakrishna Perla, Bharani Sarvepalli
Estimating the term…
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.
A system for using eye tracking data to recommend planogram changes based on a hot and dark area analysis, comprising:
A computer implemented method for using eye tracking data to recommend planogram changes based on a hot and dark area analysis, comprising:
A non-transitory computer-readable storage medium embodied with software for using eye tracking data to recommend planogram changes based on a hot and dark area analysis, the software when executed by a server is configured to:
Dependencies are inferred from the claim text.