In the Pricing Guidance section you will find Optimization tools that allow you to perform:

• Classification and regression

• Statistical segmentation methods (e.g., clustering)

• Selection of segmentation criteria

• Predefined Optimization Algorithms (or develop your own Optimization Algorithm)

Optimization is intended for marketing, category and pricing management, price, finance and business analysts and data/pricing scientists.

Use Cases

Using Optimization, you can:

• Model, import, cleanse and filter the data you need for segmentation and optimization.

• Create models to segment your business and optimize pricing.

• Calculate the willingness to pay and price elasticity for segments/categories.

• Identify and present cross sell and up sell opportunities.

• Use external data and rules to constrain the segmentation and optimization models.

• Optimize prices and price guidance, margins, promotions, volumes accounting for costs, inventory, assortment, etc.

• Present optimized pricing and promotions in CPQ, ERP and Digital Commerce Platforms.

• Test pricing hypothesis and adjust models as necessary.

• Simulate, project and analyze optimization results.

In this section: