Abstract: A dynamic digital shelf system includes an interface for identification of a customer: a digital shelf manager in communication with the interface to: retrieve a store's products and services available according to the store's inventory; retrieve an enriched customer profile of a customer's interests wherein the enriched customer profile is enhanced by big data; retrieve a product to product metadata map; develop a customer insights profile to weight the customer's interests with respect to the store's products and services according to the store's criteria in the product to product metadata map; identify the store's products and services matching the enriched customer profile for products and services using the customer insights profile; and output the identified store's products and services. Included is a display in communication with the digital shelf manager to display the identified products and services output from the digital shelf manager which are personalized to the customer.

Abstract: Dynamic visualization of big data is provided. Data describing a user is received from at least one of a plurality of data sources. One or more characteristics of the user are determined based, at least in part, on the data describing the user. One or more visual indicators are determined based, at least in part, on the one or more characteristics of the user. A visual representation of the user is presented. The visual representation is based, at least in part, on the one or more visual indicators.

Abstract: A method, system and computer program product are disclosed for preparing and sending personalized offers to consumers. In an embodiment, the method comprises extracting information from data sources to obtain information about a consumer, including information to determine specified consumer preferences; and using the information about the consumer to generate customized suggestions for wearable apparel types for the consumer, and to produce consumer specific apparel data to show the wearable apparel types fitted onto a 3D photographic representation of the consumer. The method also comprises sending the customized suggestions to a user device; and including with the suggestions a link to the consumer specific apparel data to enable the consumer to operate the consumer specific apparel data to show on the user device the suggested apparel types fitted onto the 3D photographic representation of the consumer with one or more of the specified consumer preferences.

Abstract: A dynamic digital shelf system includes an interface for identification of a customer: a digital shelf manager in communication with the interface to: retrieve a store's products and services available according to the store's inventory; retrieve an enriched customer profile of a customer's interests wherein the enriched customer profile is enhanced by big data; retrieve a product to product metadata map; develop a customer insights profile to weight the customer's interests with respect to the store's products and services according to the store's criteria in the product to product metadata map; identify the store's products and services matching the enriched customer profile for products and services using the customer insights profile; and output the identified store's products and services. Included is a display in communication with the digital shelf manager to display the identified products and services output from the digital shelf manager which are personalized to the customer.

Abstract: Dynamic visualization of big data is provided. Data describing a user is received from at least one of a plurality of data sources. One or more characteristics of the user are determined based, at least in part, on the data describing the user. One or more visual indicators are determined based, at least in part, on the one or more characteristics of the user. A visual representation of the user is presented. The visual representation is based, at least in part, on the one or more visual indicators.

Abstract: Dynamic visualization of big data is provided. Data describing a user is received from at least one of a plurality of data sources. One or more characteristics of the user are determined based, at least in part, on the data describing the user. One or more visual indicators are determined based, at least in part, on the one or more characteristics of the user. A visual representation of the user is presented. The visual representation is based, at least in part, on the one or more visual indicators.