Harness the full Potential of Machine Learning.
Automate your Pricing Process.
The foundation of our price optimizations is our forecasting technology. It uses advanced neural networks to identify demand and price elasticity drivers. Based on these drivers, our software forecasts profit and revenues for all relevant price points.
Our fashion industry background enables us to cope with both seasonal products and low sellers. Also, our models learn across products. For instance, we use features like brand and product category to forecast elasticity.
As a result, our forecast accuracy is industry benchmark. This is regularly tested in live AB tests at our clients.
Following the forecasting step, we apply our price optimization technology. It all starts with a client request on our web interface. After that, our algorithm calculates the prices that will maximize the provided business goals. Within 5 minutes, the optimized prices will be delivered.
Additionally, we enable our clients to customize pricing rules. You
can choose the granularity you need and create rules e.g. on brand,
category or even product level.
In short, our customers tell us what they would like to achieve and we make sure they get there.
Our founder team has over 30 years experience in dynamic pricing, E-commerce and software development. For example, we helped some of Europe’s largest E-commerce businesses to automate their pricing process.
We have optimized our technology for E-commerce customers. Consequently, our clients benefit from state-of-the-art machine learning technology that is tailored to their fast changing environment. Moreover, our optimizations are based on dynamic elasticity forecasts, not on static rules. That’s why E-commerce players maximize their profit and revenue only with us.
Above all, we are dedicted to deliver the best prices for our customers. Moreover, the accuracy and profit impact of our models is tracked by live AB-test regularly. Therefore you will get a direct feedback how much impact our technology has on your business.
