Customer Relationship Management (CRM) has become a fundamental operating requirement for any service provider or merchant. CRM is about maximizing customer relationships: addressing the needs and opportunities associated with each customer, and increasing revenue per customer, customer loyalty, and overall customer base.

While CRM is essential to profitability, its benefit is limited without the ability to predict customer behavior before it occurs. Predictive CRM (P-CRM) is a process and technology that allows organizations to anticipate and capitalize on expected customer behavior by analyzing past behaviors and determining propensities for future behaviors. Organizations can then leverage these predicted behaviors into targeted marketing efforts.

The SLP InfoWare P-CRM software platform provides a complete infrastructure to create, manage, distribute, and leverage customer knowledge, through a core set of automated statistical, segmentation, and profiling services as well as fundamental business logic.

SLP's platform addresses P-CRM requirements with an automated real-time modeling environment, an integrated marketing design and management system, and a knowledge repository component that packages and distributes customers' knowledge throughout the enterprise.

The system is built on an advanced technology that facilitates integration and componentization. This flexible approach enables customers to integrate SLP InfoWare applications with their existing application infrastructure, and seamlessly add new components to extend P-CRM applications when a need arises. SLP InfoWare P-CRM architecture consists of the following elements: 24x7 Modeler, Customer Knowledge Hub, 24x7 Marketer, and a suite of behavior-specific applications sitting on top of a platform.

24x7 Modeler enables business and marketing professionals to analyze customer profiles, define target segments, identify risks and opportunities, and build predictive models.

24X7 Modeler uses past behaviors to produce Knowledge Objects, light editable objects that contain anticipating and predicting knowledge about customers' behavior.

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