Price optimization - value-based pricing and regression

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"Pricing Analytics" by STAR COOPERATION

Use-Case: Price optimization for an e-commerce shop (fictive data set)

Pricing Analytics is used to understand which factors influence performance on a granular level and how optimized pricing can be used to increase turnover and sales.

Pricing in combination with KNIME is a good way to use your data in a target-oriented way and with little manual effort, thus optimising your pricing.

The highlights of our webinar:
- Data preparation and analysis for pricing
- Integration of competition information
- Price optimisation with value-based pricing
- Price optimisation with linear regression

Nodes

• Expression11 ×
• Math Formula7 ×
• Component Input3 ×
• Component Output3 ×
• Concatenate3 ×
• GroupBy3 ×
• Joiner3 ×
• Pivoting3 ×
• Row Filter3 ×
• CSV Reader2 ×
• Color Manager2 ×
• Column Merger2 ×
• Excel Reader2 ×
• Row Splitter2 ×
• Bar Chart1 ×
• Box Plot1 ×
• Column Filter1 ×
• Column Renamer1 ×
• Excel Writer1 ×
• Line Plot1 ×
• Linear Regression Learner1 ×
• Regression Predictor1 ×
• Rule Engine1 ×
• Rule-based Row Splitter1 ×
• Sorter1 ×
• Transpose1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Excel Support
• FeatureKNIME Expressions
• FeatureKNIME Javasnippet
• FeatureKNIME Math Expression (JEP)
• Show all 6 modules

Links

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