Automated and dynamic price management
Maximize your success at the point of sale with intelligent solutions.
The self-learning system uses information about the behaviour of your customers and your competitors to adjust prices strategically.
Optimization of turnover, quantity, margin or conversion rate.
Automatic recognition of market developments.
Targeted and dynamic setting of prices based on data.
Get an individually tailored solution within weeks instead of months based on our ready-made products and modules.
Through automatically and specifically conducted experiments, the system quickly recognizes new patterns and does not just rely on the past. The strategy for pricing is optimally adapted to completely new conditions.
Using methods of causal machine learning, many factors are set in relation to each other. The calculation of the price elasticity of demand becomes more precise and the result more accurate.
For individual or new products, prices are calculated based on existing data. Machine learning methods use historical information and correlations to suggest prices within seconds.
Both internally collected data on customers and products as well as external data sources (e.g. current market prices, weather, etc.) are used to optimize pricing.