Predict buying behavior and plan more accurately
Plan sales volume of your stores individually using a self-learning system to avoid empty shelves or over-supply. This way, you can include factors, such as, demand trends, marketing activities, weekdays and the weather for the next few days, in your decision.
How does this work?
To make a sales forecast, our algorithms analyze external and internal parameters such as, existing customer and transaction. Huge amounts of data are processed in-memory identifying you customer’s behavioral patterns and derive predictions.
We combine our algorithmic solution with your existing and intuitive real-time analytics solution to enhance the descriptive by a predictive view.
- Pattern and behavioral recognition for identifying contexts in your historical transaction data
- Avoiding over- and under-deliveries
- Synchronization of marketing and sales planning