This algorithm enriches the customer profile with data about their purchasing habits and preferences. For example, whether they spend more during weekends or work days, or which is their favourite store.
You must provide data about the customer’s transactions, including data that can be categorized. For example, the purchase date, payment method, sales assistant and store ID for each transaction.
The output includes information about your customer’s preferences, such as the store they most frequently shop at, and their preferred payment method.
Customer purchase preferences input data and output
Preferred payment method.
Preferred sales assistant.
The output is provided as new fields that are associated with each customer profile.
Example of the output
|Top categories||Shoes, Suits, Accessories|
|Preferred store||Malpensa MXP Corner|
|Preferred payment method||Credit card|
|Preferred sales assistant||Joe Smith