Spanish | Portuguese |
www.bayes.com
 
Home Success stories > Applications to different business areas > Adapting prices to expected demand »

We have increased the profitability and loyalty of customers, increased the ROI of marketing actions, determined the optimal selling price, optimzed the size of personnel and production levels, helped in the decision making process of resource allocation, orice changes, and introduction of new products.

» Adapting prices to expected demand

We make the difference

At Bayes Forecast we get the best results with dynamic solutions built in order to adapt to the increasing complexity and the evolution of companies and markets. More»

The sales variable is decomposed in all the components afecting demand, an afterwards we calculate a model to obtain the probability distribution conditional on different price levels. Once we get this demand we determine the optimal price that maximizes revenues.






 

Solutions /

The solutions implemented by Bayes Forecast help companies to understand the past, control the current time and forecast the most probable outcomes and take the best decisions..

Quantitative marketing
Forecasting Systems
Dynamic Decision Systems
Business Intelligence
©2006 Bayes Forecast. All rights reserved.
Privacy Policy | Terms of Use
Home | Site Map | Location