Abstract: Some embodiments include systems and methods for recall estimation. An exemplary method comprises determining reservoir sampling and size of labeling from each strata; determining recall and variance for each strata; determining sum of sample size for a time period; and determining reservoir sampling for each strata and label the sample items. Other embodiments are described.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of calculating a halo weight for at least one item of a set of items, where the halo weight can comprise an effect sales of the at least one item has on sales of the set of items; calculating an item-wise elasticity for the at least one item; calculating a line-wise elasticity for the at least one item of the set of items; calculating an aggregate elasticity for the at least one item using the item-wise elasticity and the line-wise elasticity; calculating a demand forecast for the at least one item of the set of items; optimizing an objective function comprising the halo weight, the aggregate elasticity, the demand forecast, and at least one external constraint; adjusting at least one price of the at least one item based on the objective function, as optimized; and displaying the at least one price, a

Abstract: Systems and methods can include one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: estimating demand for one or more items in an electronic basket of items using one or more different demand models; estimating elasticity for the one or more items in the electronic basket of items using a multi-armed bandit model; determining a price using the demand and the elasticity; and facilitating display of the price on a video screen of a device. Other embodiments are disclosed herein.

Abstract: Systems and methods can include one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: estimating demand for one or more items in an electronic basket of items using one or more different demand models; estimating elasticity for the one or more items in the electronic basket of items using a multi-armed bandit model; determining a price using the demand and the elasticity; and facilitating display of the price on a video screen of a device. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of calculating a halo weight for at least one item of a set of items, where the halo weight can comprise an effect sales of the at least one item has on sales of the set of items; calculating an item-wise elasticity for the at least one item; calculating a line-wise elasticity for the at least one item of the set of items; calculating an aggregate elasticity for the at least one item using the item-wise elasticity and the line-wise elasticity; calculating a demand forecast for the at least one item of the set of items; optimizing an objective function comprising the halo weight, the aggregate elasticity, the demand forecast, and at least one external constraint; adjusting at least one price of the at least one item based on the objective function, as optimized; and displaying the at least one price, a