PREDICT US

Brand Owner (click to sort) Address Description
I.PREDICTUS I.Predictus 2 Wing Drive Cedar Knolls NJ 07927 I PREDICT US;Marketing, business management, and consulting services with relation to assisting companies in the advertising, media agency, direct-to-consumer, and direct response marketing fields to identify, analyze, select, and optimize their media purchases, multi-channel marketing, and placement of advertising and promotional messages;Computer services, namely, providing a Web-based system and on-line portal featuring on-line non-downloadable software that enables users in the advertising, media agency, direct-to-consumer, and direct response marketing fields to identify, analyze, select, and optimize their media purchases, multi-channel marketing, and placement of advertising and promotional messages; and Software as a service (SAAS) services featuring software for use in identifying and measuring key performance indices that improve a company's direct-to-consumer marketing effectiveness in the field of advertising media purchase, analysis, and placement management;
PREDICTUS Poulin Holdings 155 Fleet Street Portsmouth NH 03801 PREDICT US;Providing temporary use of nondownloadable software allowing users to generate and search for predictive models, model results, and model predictions;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A livestock pricing system (10) broadly comprises a processor (14) to predict a best price for a group of animals, a grid database (16) to store price information used to predict the best price, a livestock database (18) to store livestock specifications used to compare with the price information to predict the best price, and an authenticator (20) to authenticate a plurality of users of the system (10) and thereby control user's access to the price information and livestock specifications stored in the databases (16,18). The system (10) also preferably includes a network adapter (22) to connect the system (10) to a network (12) through which the system (10) may be accessed by the users, which includes buyers and sellers. The system (10) compares several individual prices from each buyer to predict which buyer would cumulatively pay the best price.