Stock keeping units

Donated on 4/9/2019

The dataset is provided by the “Trialto Latvia LTD”, the third-party logistics operator. Each observation stands for a distinct type of item for sale.

Dataset Characteristics


Subject Area


Associated Tasks


Feature Type

Integer, Real

# Instances


# Features


Dataset Information

Additional Information

The dataset is originally provided by the “Trialto Latvia LTD”, the third-party logistics operator. The dataset consists 2279 observations with 7 features. Selected features include only numerical data and comprise a lot of information beyond that utilized by a classical ABC analysis. 3All the features have an undeniable impact on the inventory management and constitute two core groups: handling-related and turnover-related. Such features as expire date, pallet weight, pallet height and number of units per pallet determine the speed and subtlety of handling. On the other hand,total outbound and number of outbound orders indicate how tradable a particular product is. The total outbound and the number of outbound orders is represented as different attributes despite the fact of sharing some mutual information. It is done on purpose, since both the demand size and the demand frequency are important for the research. It is also worth to note that the feature “number of outbound orders” is calculated based on arisen demand from 2017-02-06 to 2018-02-13 (537,791 orders in total).

Has Missing Values?


Variable Information

1) Unit price - unit price in euro 2) Expire date - shelf-life 3) Total outbound - number of pallets sold from 2017-02-06 to 2018-02-13 4) Number of outbound orders - how many times a product was ordered from 2017-02-06 to 2018-02-13 5) Pallet weight - how much a fully-loaded pallet weights (kg) 6) Pallet height - height of a fully-loaded pallet (cm) 7) Units per pallet

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