Synthetic Economy

BFshop uses a synthetic economy to keep data going through the system, which is what is retrieved wby the query machines.BFshop uses a synthetic economy to keep data going through the system, which is what is retrieved wby the query machines.

The top three bubbles represent each an n8n workflow. The top three bubbles represent each an n8n workflow.

Customers generated

The first workflow creates customers and adds them to the database.

Customers are created with the traits buy-eagerness and spend-eagerness, as well as different ages, genders, and in different neighbourhoods.

Orders created

This workflow takes a customer from the database, creates (or doesn't) an order for them, and then stores it in the data table.

First a customer is selected from the database. Then, an order is created for that customer. This is influenced by their properties. Those in higher value neighbourhoods have a higher spend-eagnerness, meaning they spend more per order. Men and women prefer different products. As do different age groups. Orders are not guaranteed to be created; buy-eagerness interacts with probability code and the real result is an order is placed every 10 to 20 minutes. Orders are stored in the data table.

Orders placed

This workflow takes the orders from the data table, places them with BFshop's backend API, and clears the data table.

Orders stored

Database

The database used by BFshop. Orders and customers generated here are added just as if I created them, or you placed one in the customer end.