SoftGuide > Functions / Modules Designation > Shopping cart analysis

Shopping cart analysis

What is meant by Shopping cart analysis?

"Basket analysis" refers to the examination of customer purchasing behavior by analyzing products that customers buy together or sequentially in a shopping transaction. This analysis helps businesses identify patterns and relationships between products, enabling them to develop cross-selling strategies or efficiently manage inventory.

Typical software functions in the area of "basket analysis":

  1. Product correlations: Identification of products frequently purchased together.
  2. Customer segmentation: Division of the customer base based on common purchasing behavior.
  3. Revenue analysis: Calculation of revenue contributions from individual products or product combinations.
  4. Recommendation systems: Provision of recommendations for complementary products or alternatives.
  5. Visual representation: Visualization of basket data through charts or dashboards.
  6. Real-time analysis: Immediate analysis of current transactions for timely decision-making.
  7. Historical analysis: Retrospective analysis of past transactions to identify longer-term trends.
  8. Integration: Linkage with other systems such as CRM or inventory management for comprehensive analysis.

 

The function / module Shopping cart analysis belongs to:

Statistics/Forecast

Before-and-after comparisons
Classification and prediction
classification and regression trees
Container accounting
Course participant and learning statistics
Customer and sales data analysis
Customer evaluations
Econometric and statistical analyses
Linked data management
Mandate analysis
Metropolis algorithm
Network Statistics
predictions and model simulation
statistical cost planning
Utilization analysis according to loss classes

Methods / Optimizations