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Detego Stocktake Read Events Dataset
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README.md

Detego Stocktake Read Events Dataset

This repository only contains a sample of the dataset, you can download the full dataset here: mirror1, mirror2, mirror3


This dataset was introduced in the paper "RFID in the Wild - Analyzing Stocktake Data to Determine Detection Probabilities of Products", and consists of two parts:

  1. Information about the individual stocktakes
  2. The RFID read events of individual stocktakes

Specifically, the dataset contains the following information about individual stocktakes in the sample_stocktakes.csv file:

  • InventoryId: the unique identifier of a stocktake
  • Store: the unique identifier of the store in which the stocktake was performed
  • Region: the region in which the store is located in (i.e., US, Europe, or Asia)
  • Expected: the number of items which were expected by the stock management system for the stocktake
  • Unexpected: the number of items which were not expected by the stock management system for the stocktake
  • Missing: the number of items which were expected by the stock management system but not found for the stocktake
  • Actual: the number of items which were actually read during the stocktake
  • TimeStampStart and TimeStampEnd: the timestamps in UTC time when the stocktake started/was finished
  • Accuracy: the achieved accuracy of the stocktake (determined by the item quantities)

Furthermore, for each stocktake all recorded items are available as well in the sample_read_events.csv file. It contains:

  • InventoryId: the unique identifier of a stocktake
  • EpcSerial: the unique identifier of an item (EPC without company prefix)
  • Product: the identifier of the product the item is associated with

When using the dataset please cite:

M. Wölbitsch, T. Hasler, M. Goller, C. Gütl, S. Walk, and D. Helic (2019) RFID in the Wild - Analyzing Stocktake Data to Determine Detection Probabilities of Products. In Proceedings of 6th IEEE International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2019)

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