Price Optimization
By applying Data Science and artificial intelligence, you can determine optimal prices and efficiently maximize your company's revenue.
Maximize your profit through data-driven Price Optimization
Challenge
Pricing is central to marketing and sales campaigns. With optimized pricing, companies can achieve both sales and margin increases. However, determining optimal price points for products and services remains a significant challenge and is often conducted based on experience and simple rules.
Approach
The foundation of any data-driven pricing decision is price elasticities. These reflect the relationship between price and demand and can be estimated from historical data using statistical or AI-based algorithms. Based on these parameters, pricing scenarios can be derived where expected sales volumes or margins can be predicted. This enables the development of pricing or discount strategies that reflect the goals of the respective campaign (e.g., sell-off or margin maximization).
Result
Data-driven Price Optimization can generate numerous added values. First, it reduces the manual effort needed to create pricing scenarios and quantifies the uncertainty associated with price adjustments. Furthermore, pricing decisions can be optimized and automated for a large number of products. Additionally, analyzing historical sales and pricing data provides important insights into the structure of customer demand and the pricing strategies of competitors.
Our strength
Our ecosystem enables a holistic view of data & AI.
years of experience in Data Science, ML, and AI
clients from 10 industries and growing
experts from more than 17 fields of study
successfully implemented Data and AI projects
How Price Optimization with AI works
Based on historical pricing and sales data, as well as other influencing factors like competitor pricing, season, or weather, the AI model learns the relationship between price and demand. This can then be used to determine the optimal price.

Benefits of AI-based Price Optimization
With Data and artificial intelligence, companies can determine the optimal prices for hundreds of products in seconds.
Pricing strategies can be defined and implemented based on data according to the objectives.
An optimal pricing strategy helps companies maximize sales and profit in the long term.
The analysis of historical sales and pricing data provides interesting insights into the factors influencing a product's demand.
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