Systems and methods for price testing and optimization in brick and mortar retailers
AssigneeEversight, Inc.
InventorsMichael Montero, Jamie Eldredge, Daniel Gibson, David Moran, Jamie Rapperport
Life of this patent
Estimating the term…
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AssigneeEversight, Inc.
InventorsMichael Montero, Jamie Eldredge, Daniel Gibson, David Moran, Jamie Rapperport
Estimating the term…
Systems and methods for optimizing base pricing of products within a physical retailer are provided. Such systems and methods include first collecting transaction logs for products in a set of physical retail spaces. These logs are validated, adjusted and elasticities between the products are computed. The adjustment may be responsive to the day, by retailer and by a host of external factors (e.g., weather). The adjustment may also include a normalization and filtering out of inaccurate log data. Elasticity is calculated by machine learning models. A set of constraints are then received and used, along with the elasticities to compute the optimal prices for deployment in retailers for further testing.
A computer-executed method for training a machine learning model comprising:
A non-transitory computer readable medium storing instructions which, when executed on a computing device, cause the computing device to perform the steps of:
Dependencies are inferred from the claim text.