Transactions

The Transaction Table contains details of Transactions made by Customers, such as Purchases and Returns. The Transaction table has 7 Mandatory fields, as this data is required for understanding the long-term Value of every Customer for better predictions.

The primary key for this table is the combination of 5 fields: customer_id, invoice_id, transaction_timestamp, order_type and item_number. In other words, for every transaction made by a customer at a given time, each record should contain a Unique item.

Field Name	Data Type	Example	Description
*customer_id	string	e131498	The Customer ID; Unique identifier used for merging all tables.
*transaction_ timestamp	date	2013-01-17	Date and (optionally) Time of the Transaction
*invoice_id	string	i_1021	Unique ID of every Order; Used to track different items in the same Order, or to match Orders with Returns
*item_number	string	3	Item number of each item in an Order. Must not be repeated within a single Order/Invoice
*price	decimal	29.99 179	Unit Price per item. Can be Net / Gross / Discounted Price etc.
*order_type	string	sale return neutral	The Order Type ( Sale / Return / Neutral ) of each Order. By default, Sale is Positive, Return is Negative while Neutral is ignored.
*quantity	decimal	3.5 -1	Can be number of items ordered, or weight/volume. This is multiplied by price to get total value of Ordered Item.
gross_margin	decimal	17.04 29	Gross profit margin per unit. Can be used to select a Margin-based view instead of a price-based view.
order_channel	string	internet telephone mail e-mail fax in_person	Information about how the order was placed. The 6 values on the left are accepted by default. For passing more values, please Reach out to Customer Support.
productgroup_id	string	clothing furniture	Category to which product belongs to. Ideally, this should not have more than 20 Unique entries.
productgroup_id2	string	shirts shoes	A finer product group can be passed in this field to create finer NBO models in expert mode.
productgroup_id3	string	t-shirts sneakers	In this field an even finer product group can be passed to create finer NBO models in expert mode.
product_id	string	p063	This field is only used if referenced in expert mode. May then be used to compute product specific models.
return_reason	string	NULL wrong size	The reason for return or cancellation.
voucher	string	8WBA2TV	The presence or type of a voucher can be stored here; Used as Categories for Pattern Recognition.
size	string	XL 12L	This field can be used for Prediction Models; It also serves as a feature to analyze frequency distribution of different sizes.
product_supplier	string	IKEA S123	This field can be used for Prediction Models; It also serves as a feature to analyze frequency distribution of different Suppliers.