Price Optimization

By applying Data Science and artificial intelligence, you can determine optimal prices and efficiently maximize your company's revenue.

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Optimal prices at a glance

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

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Data and AI open up new potentials

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

Automated price definition

With Data and artificial intelligence, companies can determine the optimal prices for hundreds of products in seconds.

Data-driven pricing strategies

Pricing strategies can be defined and implemented based on data according to the objectives.

More sales and profit

An optimal pricing strategy helps companies maximize sales and profit in the long term.

More Insights

The analysis of historical sales and pricing data provides interesting insights into the factors influencing a product's demand.

Interested? Let's talk!

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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