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.
Flexible
Optimization of turnover, quantity, margin or conversion rate.
Self-learning
Automatic recognition of market developments.
Individual
Targeted and dynamic setting of prices based on data.
Ready to go
Get an individually tailored solution within weeks instead of months based on our ready-made products and modules.
How it works
Optimization through experiments
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.
Price elasticity of demand
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.
Similarity Pricing
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.
Integration of external data sources
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.
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