Abstract: Techniques for automated pricing of an item are provided. The techniques include obtaining historical data of one or more previous purchases for the item, performing a regression on the historical data, and using the regression to obtain a buying price and a selling price for the item.

Abstract: A social network of service provider and service recipient teams, which in turn is analyzed from a global perspective of the provider organization, that is, the representation and analysis and recommendations are internally driven by a service provider organization. Informal and formal relationships alike can be noted in the network representation. The nodes in the networks are team members from the provider and client organizations. The key decision makers in the client organizations are marked out in the graph. Each client node has an orientation which reflects whether the person has a positive orientation or negative orientation overall, globally and at a current point in time, towards the service provider organization. The client organization and the internal relationships can initially be assumed to be embodied by formal and functional relationships that are already well known and established, and yet can be adapted at later times.

Abstract: Techniques for automated pricing of an item are provided. The techniques include obtaining historical data of one or more previous purchases for the item, performing a regression on the historical data, and using the regression to obtain a buying price and a selling price for the item.

Abstract: A method and system are disclosed for planning a workforce headcount for a given business process. The method comprises the steps of providing as inputs, i) productivity ramp-ups to model the level of experience and to measure the performance of both new hires and current employees, and ii) industry/market attrition rates for employees; and performing an evaluation, using said inputs, of at least one given management objective. On the basis of this evaluation, a future hiring and transition plan is provided for the given business process for a defined period of time. In the preferred embodiment of the invention, uncertainty is associated with one or more of the inputs, and the future hiring and transition plan is provided by using stochastic programming to model the uncertainty associated with at least one of said one or more of the inputs.

Abstract: A method, system and computer program product for workforce optimization in a service oriented industry, the method comprising planning and executing a business scheme which include providing as input business planning parameters relevant to the business scheme; developing a business plan to execute the business scheme based on the business planning parameters; identifying and allocating relevant resources for executing the business plan; intimating the identified resources with the plan to execute the business scheme.

Abstract: A system for workforce optimization in a service oriented industry, the system comprising a workforce optimization unit configured for planning and executing a business scheme which include providing as input business planning parameters relevant to the business scheme; developing a business plan to execute the business scheme based on the business planning parameters; identifying and allocating relevant resources for executing the business plan; intimating the identified resources with the plan to execute the business scheme.

Abstract: A content repository of a system stores items of content to be disseminated to users. The content repository generates a content profile for each item of content as the item of content is received. The content profile for each item of content includes information regarding the item of content. A user repository of the system generates and stores a user profile for each user. The user profiles are generated from one or more information sources. The user profile for each user includes information regarding the user. A recommendation engine of the system determines which items of content should be delivered to each user based on the content profiles of the items of content and on the user profile of each user, to yield relevant items of content for each user. The recommendation engine then delivers the relevant items of content to each user.