Abstract: A validation engine validates product demand data using novel supply-demand imbalance data. Validating the product demand data provides confidence that the demand data is accurate. Confidence in the demand data allows manufacturers, distributors, and others involved in commerce to rely upon the demand data for product manufacture and ordering. The validation engine correlates determined product demand data with product supply data to generate ‘imbalance data’. The product supply data represents data for the same time period as the time period of the product demand data. The imbalance data is, in one embodiment, a difference between the product supply data and the product demand data. In one embodiment, the validation engine generates the imbalance data by subtracting product demand data from the supply data associated with the same product. Negative imbalance data indicates undersupplied products, and positive imbalance data indicates oversupplied products.

Abstract: A commerce router is disclosed. Such a commerce router includes a plurality of commercial transaction databases and an application server module. Each of the databases can contain commercial transaction information related to one of a number of offering types (e.g., categories of products, services and/or the like). Application server module is communicatively coupled to the each one of the databases. The application server module can be configured to receive a request by virtue of being configured to communicate information regarding the request to the database for inclusion in the commercial transaction information. The application server module can also be configured to allow review of the request by virtue of being configured to communicate information regarding the request from the database by accessing the commercial transaction information.

Abstract: A prime lead data commercialization system and method, in at least one embodiment, filters lead data to identify prime leads, provides the prime leads to a recipient, and determines compensation to the lead source based upon conversion rates. By shifting compensation risk to the lead source, the prime lead data source is able to obtain leads from any lead source without introducing arbitrary lead filtering criteria, such as filtering based on historically unacceptable conversion rates that would have otherwise omitted quality leads. The prime lead data source can establish filter criteria that restricts the lead data that the prime lead data source purchases. The prime lead data commercialization system can determine compensation based upon a premium pricing model. Accordingly, the risks of compensation based on conversion rates can be offset by justified premium pricing models for prime leads.