Target Brands, Inc.

Pratheep Kumar Reddy Yaddala

The disclosed technology provides for training a model to predict defective bins in a distribution center. A method includes retrieving bin data for a distribution center, partitioning the bin data into testing data and training data, designating a portion of the training data as defective bin data, designating a remaining portion of the training data as non-defective bin data, iteratively generating and testing models until a test model satisfies performance testing criteria, designating a portion of the bin data as complete defective bin data and a remaining portion as non-defective bin data, generating a complete model training data set combining the complete defective bin data and a portion of the non-defective bin data, and training a runtime model using the complete model training data set and training parameters determined in the iterative generating and testing steps.

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Minneapolis, MN, United States of America

Pratheep Kumar Reddy Yaddala