Abstract: Methods, systems, and computer program products for determining locations for offerings using artificial intelligence are provided herein. A computer-implemented method includes determining an initial sub-set of one or more enterprise locations, from a set of multiple enterprise locations, for providing at least one enterprise offering; determining at least one sequential ordering of one or more additional ones of the multiple enterprise locations for providing the at least one enterprise offering by processing data related to the initial sub-set of one or more enterprise locations using an artificial intelligence engine that utilizes one or more artificial intelligence techniques; and automatically training at least a portion of the artificial intelligence engine that utilizes the one or more artificial intelligence techniques based at least on feedback data pertaining to provision of the at least one enterprise offering to the at least one sequential ordering of one or more additional enterprise locations.

Abstract: Methods, systems, and computer program products for data filtering with fuzzy attribute association are provided herein. A computer-implemented method includes obtaining one or more rules, specified by an expert, that define a partial ranking of a plurality of fuzzy pairings between (i) a plurality of item attributes for items in a data catalog and (ii) a plurality of user attributes related to said items; generating an interactive session with the expert to resolve one or more ambiguities in the one or more rules; and deriving a scoring function based at least in part on (i) the one or more rules and (ii) the resolved one or more ambiguities, wherein the scoring function generates a comparative score between any two items of said data catalog for a given one of the users associated with the plurality of attributes.

Abstract: One embodiment provides a computer implemented method, including: creating a buyer and manufacturer virtual agent representing a buyer and manufacturer within a design supply chain; creating a designer virtual agent representing a designer within the design supply chain; detecting a conflict between design attributes preferred by the buyer and manufacturer and design attributes preferred by the designer for a product being designed by the designer; resolving, utilizing the buyer and manufacturer virtual agent and the designer virtual agent, the conflict via initiating a conversation between the buyer and manufacturer virtual agent and designer virtual agent to generate attribute suggestions for incorporation into the product; and presenting the attribute suggestions to the designer for incorporation into the product.

Abstract: In an approach for an indoor survey data collection, a processor generates reference points based on a site map and an accuracy requirement. A processor collects data at each reference point through a data collecting agent. A processor detects an outlier at the reference points using a feedback from the data collecting agent during the data collection and a database. A processor eliminates the detected outlier and rectifies the data.

Abstract: One embodiment provides a method, including: receiving a client fashion catalog comprising a plurality of images of client wearable products; creating a market fashion catalog comprising a plurality of market wearable products identified from sources other than the client fashion catalog, wherein the creating comprises (i) accessing a plurality of secondary sources, (ii) capturing information corresponding to market wearable products from the plurality of secondary sources, and (iii) aggregating the information to create the market fashion catalog; generating, for each market wearable product, (iv) a desirability score and (v) a multi-modal description of characteristics; producing, for the market wearable products, by utilizing the multi-modal descriptions, a similarity score indicating how similar the market wearable product is to products within the client fashion catalog, wherein the producing comprises comparing market wearable products to client wearable products; and providing a recommendation for a ch

Abstract: Methods, systems, and computer program products for data filtering with fuzzy attribute association are provided herein. A computer-implemented method includes obtaining one or more rules, specified by an expert, that define a partial ranking of a plurality of fuzzy pairings between (i) a plurality of item attributes for items in a data catalog and (ii) a plurality of user attributes related to said items; generating an interactive session with the expert to resolve one or more ambiguities in the one or more rules; and deriving a scoring function based at least in part on (i) the one or more rules and (ii) the resolved one or more ambiguities, wherein the scoring function generates a comparative score between any two items of said data catalog for a given one of the users associated with the plurality of attributes.

Abstract: One embodiment provides a method, including: receiving a clothing design, wherein the clothing design identifies attributes of an article of clothing; accessing a plurality of information sources having sentiments regarding attributes of pieces of clothing, wherein each of the plurality of information sources is assigned to one of a plurality of geographical regions; identifying location-dependent attributes of the pieces of clothing, wherein the location-dependent attributes comprise clothing attributes whose corresponding user sentiments vary across at least a subset of the geographical regions; and recommending, based upon the location-dependent attributes and a targeted geographical region in which the article of clothing is to be sold, parameter values for the attributes of the article of clothing, wherein the recommending comprises correlating (i) the targeted geographical region with (ii) location-dependent attributes having a positive sentiment within the targeted geographical region.

Abstract: In an approach for an indoor survey data collection, a processor generates reference points based on a site map and an accuracy requirement. A processor collects data at each reference point through a data collecting agent. A processor detects an outlier at the reference points using a feedback from the data collecting agent during the data collection and a database. A processor eliminates the detected outlier and rectifies the data.

Abstract: Methods, systems, and computer program products for demand sensing for product and design introductions are provided herein. A computer-implemented method includes receiving a query comprising information pertaining to an enterprise offering; determining a given number of similar past enterprise offerings based on a comparison of the enterprise offering against a collection of past enterprise offerings and user reviews of the past enterprise offerings; extracting multiple features from the given number of similar past enterprise offerings; generating, for each of the extracted features, a feature-based demand score based on analysis of the user reviews of the given number of similar past enterprise offerings; determining demand for the enterprise offering by aggregating the feature-based demand scores with similarity scores attributed to the enterprise offering with respect to the given number of similar past enterprise offerings; and outputting the demand for the enterprise offering to an enterprise user.