ERP Procure-to-Pay Event Sequence Dataset

#Next-event prediction #Event sequence modeling #State transition prediction #Process prediction #Procurement process analysis #Accounts payable management #Process mining #Procurement operations optimization

4560
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Covers events across the ERP procure-to-pay process, including purchase requisitions, approvals, purchase orders, goods receipt, invoice matching, and payment, showing how procurement cases evolve through business states. The data provides raw case sequences, next-event targets for prediction, and summary features derived from observed sequence prefixes to support state-transition analysis and future event prediction. It is suited to procurement process mining, accounts payable analysis, and enterprise process improvement.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
case_data	object	Source event sequence and the boundary that defines the prediction context.
next_event_target	object	Target label derived from the event immediately following the observed prediction context.
sequence_features	object	Summary features calculated from the observed event prefix.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

Which procurement events are included?: The dataset covers procure-to-pay events such as purchase requisitions, approvals, purchase orders, goods receipt, invoice matching, and payment, showing how cases change across business states.

What training information does the dataset provide?: It includes raw procurement cases and prediction-context boundaries, next-event targets derived from subsequent events, and summary features calculated from observed event prefixes. These elements support building and evaluating next-event prediction models.

How can I access the data, and what are the licensing terms?: Refer to the product page for the available download method, license scope, and terms of use. Confirm the applicable license before using the data in commercial projects or redistributing it.

What use cases is this dataset suited to?: It is suited to procurement process mining, accounts payable management, process state-transition analysis, and procurement operations improvement. It can also be used to train or evaluate future event prediction models for ERP event sequences.

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Cite this Work

@dataset{Mobiusi2026,
  title={ERP Procure-to-Pay Event Sequence Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/13b503ef03aa92303b0463a0886443aa},
  urldate={2026-10-22},
  keywords={ERP procurement dataset,procure-to-pay event sequence,next-event prediction,procurement process mining,state transition modeling,accounts payable analysis,enterprise process data,procurement process prediction},
  version={1.0}
}

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