Our dynamic systems transform massive data into knowledge, empowering us to understand, forecast, and optimize business results.
- Models We build explanatory and predictive models that allow our customers to understand their operations, customers, and markets. More»
Bayes can handle massive data with millions of data points, limited only by how much our customers can record and store, allowing us to exhaustively analyze the market, generating forecasts by product, point of sale, customers, geographical areas, etc.
The Dynamic Decision Systems are a collection of models that represent the operations of a company that is continuously measuring the market (changes of demand due to promotions, macroeconomic shocks, publicity, prices, information events, etc.), and generating forecasts under different simulated scenarios.
These solutions help our customers to continuously identify the best decisions in order to optimize revenue and/or profits, taking into account the costs of excess demand and excess supply of their products, thus satisfying market demand and maximizing the value of their business strategies.
The Dynamic Decision Systems are a collection of models that represent the operations of a company that is continuously measuring the market (changes of demand due to promotions, macroeconomic shocks, publicity, prices, information events, etc.), and generating forecasts under different simulated scenarios.
These solutions help our customers to continuously identify the best decisions in order to optimize revenue and/or profits, taking into account the costs of excess demand and excess supply of their products, thus satisfying market demand and maximizing the value of their business strategies.

Our solutions are made specifically for each customer, thus providing them with a Business Intelligence system to understand and anticipate the evolution of markets.
- Applications to different business areas
- Management of campaign with target group
- Estimation of customer response to changes in prices
- Estimation of optimal service
- Analysis of promotion effects
- Adapting prices to expected demand
- Optimal management of publicity investment
- Influence of calendar variables
- Analysis of spots and commercials
