 We develop systems that generate probabilistic forecasts of the sales behavior
or any other variable that we are trying to capture with dynamic models.
» Forecasting Systems
Models |
We built explanatory and predictive models for the operations, customers, and
markets of our customers. More» |
Our solutions are based not only on finding explanations to understand the
past, but also on learning from those experiences to forecast the future, i.e.,
provide information that can be used dynamically to forecast what will happen
every week, every day, every hour, every minute, or even every second.
Our models do not provide just a point forecast, but a forecast probability
function.
Some of our solutions have been used to forecast:
- Hourly electric consumption, both aggregate and by station with different
time horizons.
- Cash and customers for hundreds of shops and sections of a retail chain,
daily and weekly.
- Levels of new and churning customers of telephone lines (RTB, ISDN,
ADSL, etc.) by central and geographic area.
- Number of calls to a call center by kind of customer and reason.
- Price of square meter by category of real estate market.
- Level of sales by SKU and optimal discount in sales period.
- Forecasting and allocation of daily service of different kind of periodical
publications by point of sales.
- Value of client in the financial sector.
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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..
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