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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.