Abstract: The SYNTHETIC CONTROL GENERATION AND CAMPAIGN IMPACT ASSESSMENT APPARATUSES, METHODS AND SYSTEMS (“SCG”) provides a platform that, in various embodiments, is configurable to evaluate efficacy and/or return on investment of advertising and/or other media campaigns and/or to recommend actions for improvement thereof. In some implementations, multi-faceted campaigns of media and/or advertising behavior (e.g., including one or more of: internet advertising, television advertising, radio advertising, print advertising, social media publication, product placement, and/or the like) may be considered as a whole in relation to global metric behaviors and/or patterns in order to evaluate the efficacy and/or return on investment associated with the campaign as a whole.

Abstract: Provided are systems, devices, and methods for clickless identification of an object and clickless posting of an online listing corresponding to the identified object. In one example, a method may include one or more of identifying an object included in image data obtained via a clickless image identification process, wherein the identifying is performed while the image data is being captured by an image capturing component associated with a mobile device, predicting one or more attributes of the identified object based on previous data of similar objects posted on a web resource, and displaying an identifier of the identified object and the one or more predicted attributes of the identified object on a screen of the mobile device while the clickless image identification process is occurring.

Abstract: Provided are systems, devices, and methods for clickless identification of an object and clickless posting of an online listing corresponding to the identified object. In one example, a method may include one or more of identifying an object included in image data obtained via a clickless image identification process, wherein the identifying is performed while the image data is being captured by an image capturing component associated with a mobile device, predicting one or more attributes of the identified object based on previous data of similar objects posted on a web resource, and displaying an identifier of the identified object and the one or more predicted attributes of the identified object on a screen of the mobile device while the clickless image identification process is occurring.

Abstract: A dynamic pricing algorithm is used to price a large set of items so that their aggregate margin is above a pre-specified level even under uncertain demand. The algorithm automatically hedges the profit loss associated to low-margin items with profit gains associated to higher-margin items, and does so even when the realized demand is different than the expected one. The algorithm leverages the separability of a re-formulation of the robust counterpart of the nominal revenue maximization problem. This separability results into a nested bisection algorithm where each iteration in the procedure requires only computation of a number of independent, one-dimensional optimization problems, one for each product to price. The algorithm is easily implemented in a parallel architecture such a multi-core computer or a cluster of computers, where each core handles an independent one-dimensional problem corresponding to an item and its data is stored locally.

Abstract: The SYNTHETIC CONTROL GENERATION AND CAMPAIGN IMPACT ASSESSMENT APPARATUSES, METHODS AND SYSTEMS (“SCG”) provides a platform that, in various embodiments, is configurable to evaluate efficacy and/or return on investment of advertising and/or other media campaigns and/or to recommend actions for improvement thereof. In some implementations, multi-faceted campaigns of media and/or advertising behavior (e.g., including one or more of: internet advertising, television advertising, radio advertising, print advertising, social media publication, product placement, and/or the like) may be considered as a whole in relation to global metric behaviors and/or patterns in order to evaluate the efficacy and/or return on investment associated with the campaign as a whole.

Abstract: A dynamic pricing algorithm is used to price a large set of items so that their aggregate margin is above a pre-specified level even under uncertain demand. The algorithm automatically hedges the profit loss associated to low-margin items with profit gains associated to higher-margin items, and does so even when the realized demand is different than the expected one. The algorithm leverages the separability of a re-formulation of the robust counterpart of the nominal revenue maximization problem. This separability results into a nested bisection algorithm where each iteration in the procedure requires only computation of a number of independent, one-dimensional optimization problems, one for each product to price.