Promotion Optimization automatically creates new, optimal trade promotion plans. It evaluates previous promotions according to their cost and effectiveness, and incorporates the most effective events into entirely new plans. Promotion Optimization can meet user requirements, such as budgetary constraints, and can design plans to meet volume, sales or profit goals. Promotion Optimization works using neural network and genetic algorithm technologies. These technologies help the user to understand specific market constraints, and to design plans which operate optimally within a specific market environment.

White Paper on Promotion Optimization

General Approaches to Data

Abstract:

This white paper discusses the data sources which are essential to the functioning of a promotion optimization system. It also discusses what can be inferred from these specific sources of data. One fairly complete implementation is discussed, then a smaller but still sufficient Promotional Optimization system is suggested.

To download a Word Document of this paper, please click HERE