Retail
Customer Decision Tree
The business problem and approach
Adopted and maintained a Customer Decision Tree (CDT) product in R for a retail client, enabling store managers to categorize similar products based on co-purchase patterns. Ensured smooth deployment, debugging, and enhancement of the R and R Shiny application for effective visualization of product groupings and sales, helping managers make fast, data-driven decisions.
Implementation highlights
Maintained and improved CDT scripts using R and R Shiny, Provided visual outputs: sales histograms and product categorization dendrograms, Enabled retail managers to drive sales by categorizing products based on household purchase data
Delivery and outcomes
Successfully enhanced CDT product features for improved user experience
Technologies used
- R
- R Shiny
- Decision Trees
- Data Visualization
- Yule Coefficient
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