Abstract: A computing system facilitating electronic bill presentment and payment features for authorized users via a user interface is introduced including an analysis engine. The analysis engine, in response to user interaction with the user interface, selectively performs user-defined analysis on at least a subset of retrieved billing information associated with one or more billers. The analysis engine further generates one or more user-defined report(s) based, at least in part, on the user-defined analysis.

Abstract: A computing system facilitating electronic bill presentment and payment features for authorized users via a user interface is introduced including an analysis engine. The analysis engine, in response to user interaction with the user interface, selectively performs user-defined analysis on at least a subset of retrieved billing information associated with one or more billers. The analysis engine further generates one or more user-defined report(s) based, at least in part, on the user-defined analysis.

Abstract: A computing system facilitating electronic bill presentment and payment features for authorized users via a user interface is introduced including an analysis engine. The analysis engine, in response to user interaction with the user interface, selectively performs user-defined analysis on at least a subset of retrieved billing information associated with one or more billers. The analysis engine further generates one or more user-defined report(s) based, at least in part, on the user-defined analysis.

Abstract: Embodiments are directed towards enabling telecommunications networked services providers to maximize sales of products, services, content, and applications to their customers by detecting contextual occasions in which to present a customer an offering of a product, service, content, or application. The occasion may be defined for the customer within their cultural environment by ethnographic research and anthropological modeling. The occurrence of a contextual occasion may be realized for a customer, in part, based on predictive and behavioral analytics of demographic, behavioral, and/or psychographic customer attributes. The customer's activities, location, time, social network activity, and events occurring in the world are also monitored to identify or predict an occurrence of the targeted occasion in which to present a contextually relevant product, service, content, and/or application offering to the customer.

Abstract: A computing system facilitating electronic bill presentment and payment features for authorized users via a user interface is introduced including an analysis engine. The analysis engine, in response to user interaction with the user interface, selectively performs user-defined analysis on at least a subset of retrieved billing information associated with one or more billers. The analysis engine further generates one or more user-defined report(s) based, at least in part, on the user-defined analysis.

Abstract: A system and method for assisting a customer in choosing among commodities based on a business profile of the customer that includes asking the customer for a definition of its business; searching a decision rules database and applying decision rules to the business definition; creating a set of business requirement questions based upon the applied decision rules database; answering the set of business requirement questions by the customer; implementing a business rule filter to the answers of the set of business requirement questions; recommending to the customer commodity types based upon the business rule implementation; and optimizing the recommended commodity types to find the best value commodity, which can be a product or service.

Abstract: A system and method for assisting a customer in choosing a combination of commodities based on preferences of the customer. A combination is a set of related commodities, wherein bundling discounts may be applied to particular bundles of related commodities. Combination options are created by optimizing the categories within the combination in parallel, and then selecting the best value options from each category into a grouping. The effective cost of a grouping is calculated as a total of the effective costs of each option within the grouping. The effective costs consider weighted values of performance features in addition to the actual cost of a commodity. The groupings are ranked and presented to the user, so that the user may select a grouping as combination of commodities for purchase.

Abstract: Embodiments are directed towards enabling product and/or service providers to maximize sales of products, services, and content to their existing customers. In one embodiment, a process, apparatus, and system are directed towards optimizing a selection of offers for any customer touch-point to ensure the provider delivers the best offer to the right customer at the most appropriate time. Offers are optimized not only according to a customer's interests and preferences but also according to revenue and profitability potential using predictive analytics.