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US 11,113,652 B2Granted
System and method for a recommendation mechanism regarding store remodels
AssigneeWalmart Apollo, LLC
InventorsNikesh Srivastava, Sameer Shah, Uruj Fatima
Life of this patent
Estimating the term…
Abstract
An iterative, tiered system for identifying which assets need to be remodeled. This tiered system uses a Bayesian Structural Time Series, followed by an ensemble classification and cost estimation. The results are then input into an optimization model, where the best possible set of stores is selected according to the constraints. Remodeling of the store then commences.
Claims17
A computer-implemented method, comprising:
- generating, via a processor, a trained Bayesian Structural Time Series machine learning model, wherein the trained Bayesian Structural Time Series machine learning model is iteratively trained by a first training data set comprising sales data for one or more stores;
- analyzing, via the processor, a profitability impact of a remodel on a target store using the trained Bayesian Structural Time Series machine learning model;
- generating, via the processor, a trained non-parametric regression machine learning model, wherein the trained non-parametric regression machine learning model is iteratively trained by a second training data set;
- performing, in parallel via the processor:
- generating a lift classification of the target store using the profitability impact;
- and
- generating a cost estimate for the remodel using the trained non-parametric regression machine learning model;
- generating, via the processor, a remodel score for the target store based on the lift classification and the cost estimate of the remodel;
- and
- determining, via the processor, that the remodel score is above a threshold, to yield a determination.
7 more elements
A system comprising:
- a processor;
- and
- a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising:
- generating a trained Bayesian Structural Time Series machine learning model, wherein the trained Bayesian Structural Time Series machine learning model is iteratively trained by a first training data set comprising sales data for one or more stores;
- analyzing a profitability impact of a remodel on a target store using the trained Bayesian Structural Time Series machine learning model;
- generating a trained non-parametric regression machine learning model, wherein the trained non-parametric regression machine learning model is iteratively trained by a second training data set;
- performing, in parallel via the processor:
- determining a cost estimate for the remodel using the trained non-parametric regression machine learning model;
- and
- generating, using the profitability impact, a lift classification of the target store;
- generating a remodel score for the target store based on the lift classification and the cost estimate of the remodel;
- and
- determining that the remodel score is above a threshold, to yield a determination.
10 more elements
A non-transitory computer-readable storage medium having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:
- generating a trained Bayesian Structural Time Series machine learning model, wherein the trained Bayesian Structural Time Series machine learning model is iteratively trained by a first training data set comprising sales data for one or more stores;
- analyzing a profitability impact of a remodel on a target store using the trained Bayesian Structural Time Series machine learning model;
- generating a trained non-parametric regression machine learning model, wherein the trained non-parametric regression machine learning model is iteratively trained by a second training data set;
- performing, in parallel via the computing device:
- determining a cost estimate for the remodel using the trained non-parametric regression machine learning model;
- and
- generating, using the profitability impact, a lift classification of the target store;
- generating a remodel score for the target store based on the lift classification and the cost estimate of the remodel;
- and
- determining that the remodel score is above a threshold, to yield a determination.
7 more elements
Dependencies are inferred from the claim text.