Forecasting the time of the future visit
For each particular customer, we predict the period of his next visit. In some segments, prediction is possible with an accuracy of one hour.
This allows to conduct communication at the moment when a person only thought about a visit to the store.
Forecasting the composition of the future check
Predictive analytics as a performance driver
Due to our knowledge of consumer habits and patterns of customer behavior, we predict concrete items in the future checks.
This allows to generate recommendations that are relevant in the moment of purchasing.
Modeling of the consumer activity
We identified triggers that precede a client's transition from one segment group to another, including the outflow group.
To manage this process, we have developed a set of methods for switching customers to the group of the most loyal customers and a separate tool to prevent outflow.