Lifting customer basket value using market basket and product affinity analysis

Előadó: Tomaz Kastrun, Studio Moderna d.o.o.

Előadás rövid tartalma:

Lifting/Increasing basket value with CRM data is relevant for every retail company that store customer-related data. With all possible data collected on customer level, one can create predictive analysis models for easier decision making, which customer is more likely to buy and which product is more likely to sell.

In my quick talk I will demonstrate usage of companys’ rich CRM data along with transactional data to create data mining models (using association rules and naive bayes). This models are used for predicting product sales for particular campaigns.

Models will be created using SQL Server 2012 and compared to Project R.