Inventory and revenue maximization method and system

Abstract

A method is provided for enterprise management and bundling of inventory to maximize revenue on perishable products. An electronic data-mart collects factors for the probability and price sensitivity of a buyer. The data-mart also collects rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner. Once three or more variables exist, algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to local business units for an abnormality failsafe. Once processed by local business units, the scenarios are presented to the buyer. Negotiations typically cause the process to restart. The main systems that interact to build scenarios are: an enterprise data-mart, a scenario planner, a performance measurement system, a rate or yield management subsystem, a traffic and accounts receivable system, and a local inventory booking system.