Demand forecasting

Accurate automatic demand forecasts calculated using state of the art statistical and machine learning techniques. Easy to use solution with no expert knowledge required

Automatically generated accurate demand forecast

Accurate demand forecasts are the foundation of making right business decisions. ProLogistica Trend automatically forecasts the demand, taking into account such phenomena as trends and seasonality, among others. The right forecasting method and its parameters are chosen automatically, which allows for creating forecasts in a non-labour-consuming way and does not require users to have experience in forecasting


ACCURATE DEMAND FORECASTS

Using state of art statistical and machine learning techniques allows for a significant increase of the accuracy of demand forecasts calculated in companies. With an automatic selection of the best algorithm and forecast calculation, the system can be used without any expert knowledge. Demand forecasts for thousands of SKUs are created within several minutes


TAKING INTO CONSIDERATION DIFFERENT FACTORS THAT AFFECT THE DEMAND

Our forecasts are calculated with trends, seasonality, the influence of external factors (such as prices or weather), and the dependency of demand for similar products taken into consideration. The system automatically calculates to what extent the seasonality affects the sale of different products and presents a report concerning products for which the trend has changed


THE BEST FORECASTS FOR NEW PRODUCTS

We have created an original solution for forecasting demand for new products, including forecasting demand with regard to features, taking into consideration substitutes and the phenomenon of cannibalism. This method also allows to effectively plan works in a newly created branch or a point of sale


PLANNING PROMOTIONAL CAMPAIGNS

ProLogistica allows for planning promotional campaigns or setting a price policy and verifying forecast influence of individual demand forecast scenarios. With an extensive simulation panel, users can freely change the planned selling prices and enter information on expected marketing campaigns, and the system will illustrate how the demand would change considering different business scenarios


AUTOMATIC DETECTION OF OUTLIERS

The application automatically detects and eliminates outliers that can distort the demand forecast. Users can define events which have caused such an observation (e.g. industry fairs). Such an event, when occurring in the future, will be then included in forecasts calculated by the system