Manugistics Inc.

Jorgen K Andersson

Feng Yang

Robert L Phillips

Prabhakar Krishnamurthy

Dean Weldon Boyd

Brian Lawrence Monteiro

Thomas Edward Guardino

Mark Cooke

Jeremy S Cohen

Chia-Hung Charles Tai

Ozgur Ozluk

Greg Cook

Mike Gordon

Michael S Gordon

Anupama Kolamala

Ravi Nandiwada

Robert A Flint

Steve Haas

Mudita Purang

Stefano Alberti

Keshava P Rangarajan

Tom Grossman

Raymond Mark Cooke

The present invention provides a dynamic pricing system that generates pricing recommendations for each product in each market. In particular, the system normalizes historic pricing and sales data, and then analyzes this historic data using parameters describing the user's business objectives to produce a pricing list to achieve these objectives. The system uses historical market data to forecast expected sales according to a market segment, product type, and a range of future dates and to determine the effects of price changes on the forecasted future sales. The system further calculates unit costs for the product. The system then estimates profits from sales at different prices by using the sales forecasts, adjusting these sales forecasts for changes in prices, and the costs determinations. The system optionally optimizes prices given current and projected inventory constraints and generates alerts notices according to pre-set conditions.

Dynamic pricing system

A business process and computer system known as the 'Target Pricing System' (TPS) that generates an optimum bid or value for a competitively bid good or service. The system is resident on one or more host processors in connection with one or more data stores, and includes a product model that defines list values for the bid using stored price data and costs the values using stored cost data, a competitor net price model that calculates an equivalent competitor net price for the value, and

Target pricing system

Growing community of inventors

Sunnyvale, CA, United States of America

Jorgen K Andersson