Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: An example product configuration system includes a Configuration Input Manager that receives a selection of configuration parameters from a system user and coordinates obtaining input from the external information sources regarding the selected configuration parameters. Requests for input are transmitted along a plurality of communication channels individually selected for each configuration parameter. The Configuration Builder then assimilates the various input, such as the collective knowledge, opinions, preferences, experience, and other input provided by the external information sources, and compiles that information to generate a plurality of proposed product configurations that are consistent with the information provided.

Abstract: A method, system and computer program product for increasing the sales of a retailer. A unit, referred to herein as the “retailer promotions device,” generates a group offer for a set of users/customers to purchase a product based on intelligent analytics (e.g., real-time attributes/dynamics such as the strategy in selling the remaining inventory). A group offer refers to an offer to sell a product at a promotional price if a number of users (e.g., users of mobile devices and/or customers online and/or customers in a physical store) agree to purchase the product at the promotional price within a time period. The group offer is sent to targeted users/customers via online and mobile devices as well as via electronic displays and kiosks in the physical store. By using real-time attributes/dynamics to generate group offers that can be sent to targeted users/customers, the sales of the retailer are likely to be increased.

Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: A mechanism, in a data processing system, is provided for defining marketing strategies. The mechanism dynamically obtains information related to customer interactions associated with a plurality of customers, analyzes the information to identify patterns, selects patterns to define a marketing strategy for a marketer, and defines a marketing strategy based on the selected patterns.

Abstract: A mechanism, in a data processing system, is provided for defining marketing strategies. The mechanism dynamically obtains information related to customer interactions associated with a plurality of customers, analyzes the information to identify patterns, selects patterns to define a marketing strategy for a marketer, and defines a marketing strategy based on the selected patterns.

Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: A method, system and computer program product for increasing the sales of a retailer. A unit, referred to herein as the “retailer promotions device,” generates a group offer for a set of users/customers to purchase a product based on intelligent analytics (e.g., real-time attributes/dynamics such as the strategy in selling the remaining inventory). A group offer refers to an offer to sell a product at a promotional price if a number of users (e.g., users of mobile devices and/or customers online and/or customers in a physical store) agree to purchase the product at the promotional price within a time period. The group offer is sent to targeted users/customers via online and mobile devices as well as via electronic displays and kiosks in the physical store. By using real-time attributes/dynamics to generate group offers that can be sent to targeted users/customers, the sales of the retailer are likely to be increased.

Abstract: A method, system and computer program product for increasing the sales of a retailer. A unit, referred to herein as the “retailer promotions device,” generates a group offer for a set of users/customers to purchase a product based on intelligent analytics (e.g., real-time attributes/dynamics such as the strategy in selling the remaining inventory). A group offer refers to an offer to sell a product at a promotional price if a number of users (e.g., users of mobile devices and/or customers online and/or customers in a physical store) agree to purchase the product at the promotional price within a time period. The group offer is sent to targeted users/customers via online and mobile devices as well as via electronic displays and kiosks in the physical store. By using real-time attributes/dynamics to generate group offers that can be sent to targeted users/customers, the sales of the retailer are likely to be increased.

Abstract: Disclosed is a method, system and computer program product for deriving marketing strategy for at least one of a product and a service utility value from an associated utility value by collecting feedback from a user of at least one product or service, wherein the feedback provided by the user is available in multiple sources associated with the at least one product or service, computing a utility value for the at least one product or service based on the feedback of the user, and generating an appropriate marketing strategy for the at least one product or service based on the utility value. Other embodiments are also disclosed.

Abstract: Techniques are disclosed for configuring a product or service based on social interactions. In one embodiment, one or more users are selected to participate in configuring a desired product or service. The desired product or service may be associated with one or more configurable parameters. One or more configurations for the desired product or service may be determined, based on input received from the one or more users.

Abstract: Methods and arrangements for deriving market intelligence. Guidelines for deriving mercantile intelligence are input, and social content data is mined. A map is generated which reconciles the social content data with the guidelines, and elements related to mercantile intelligence are extracted from the map. A mercantile intelligence report is output.

Abstract: Methods and arrangements for deriving market intelligence. Guidelines for deriving mercantile intelligence are input, and social content data is mined. A map is generated which reconciles the social content data with the guidelines, and elements related to mercantile intelligence are extracted from the map. A mercantile intelligence report is output.

Abstract: An example product configuration system includes a Configuration Input Manager that receives a selection of configuration parameters from a system user and coordinates obtaining input from the external information sources regarding the selected configuration parameters. Requests for input are transmitted along a plurality of communication channels individually selected for each configuration parameter. The Configuration Builder then assimilates the various input, such as the collective knowledge, opinions, preferences, experience, and other input provided by the external information sources, and compiles that information to generate a plurality of proposed product configurations that are consistent with the information provided.

Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: A mechanism, in a data processing system, is provided for defining marketing strategies. The mechanism dynamically obtains information related to customer interactions associated with a plurality of customers, analyzes the information to identify patterns, selects patterns to define a marketing strategy for a marketer, and defines a marketing strategy based on the selected patterns.

Abstract: Techniques are disclosed for configuring a product or service based on social interactions. In one embodiment, one or more users are selected to participate in configuring a desired product or service. The desired product or service may be associated with one or more configurable parameters. One or more configurations for the desired product or service may be determined, based on input received from the one or more users.

Abstract: A social network relating consumers to a commerce system of interest is built. Weights are assigned for individual nodes of the social network based on predetermined criteria. The social network is navigated to identify customer leaders and define customer segments of the commerce system. The social network is also navigated to identify specific communication channels relative to the customer leaders. Effective marketing strategies are defined using the customer leaders and the specific communication channels.