Dynamic Pricing

Always the right price – market and competition-oriented

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.

Flexible
Optimization of turnover, quantity, margin or conversion rate.

Automatic recognition of market developments.

Self-learning
Automatic recognition of market developments.

Targeted and dynamic setting of prices based on data.

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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Contact

tetrel GmbH
Mehringdamm 27
10961 Berlin

+49 30 23322171
contact@tetrel.ai

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