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batch_traceability_valid
bool
location_transition_valid
bool
violations
list
movement_input
dict
validation_status
string
availability_check
dict
quantity_conservation_check
dict
true
true
[]
{ "movement": { "movement_id": "MOV-TR-84219", "movement_type": "transfer", "item_id": "RM-4408", "quantity": 12, "unit_of_measure": "kg", "batch_id": "B-2025-041", "source_location": "WH-NORTH-A1", "destination_location": "WH-SOUTH-B3", "occurred_at": "2025-04-18T09:42:00" }, ...
valid
{ "source_available_before_qty": 56, "movement_quantity": 12, "is_sufficient": true, "negative_available_snapshots": [] }
{ "expected_net_change": 0, "actual_net_change": 0, "is_valid": true }
false
true
[ { "code": "BATCH_TRACEABILITY_MISMATCH", "field_path": "movement_input.inventory_snapshots[1].batch_id", "message": "The destination snapshot records batch LOT-K-89, but the transfer is recorded for batch LOT-K-88.", "severity": "error" } ]
{ "movement": { "movement_id": "MOV-TR-50731", "movement_type": "transfer", "item_id": "COMP-3902", "quantity": 6, "unit_of_measure": "units", "batch_id": "LOT-K-88", "source_location": "ASSEMBLY-STAGE-2", "destination_location": "QA-HOLD-1", "occurred_at": "2025-04-18T13:06:00" ...
invalid
{ "source_available_before_qty": 38, "movement_quantity": 6, "is_sufficient": true, "negative_available_snapshots": [] }
{ "expected_net_change": 0, "actual_net_change": 0, "is_valid": true }

ERP Inventory Movement and State Invariant Validation Dataset

This dataset uses structured JSON to describe inventory receipts, issues, transfers, batch or location changes, and related inventory snapshots, covering common ERP inventory movement scenarios. Each example can be used to check constraints such as quantity conservation, source and destination location consistency, batch traceability, and stock availability, with machine-readable violations as output. It provides explicit validation signals for verifiable-reward reinforcement learning and supports inventory constraint validation, model training, and evaluation.

Technical Specifications

Field Type Description
violations array Machine-readable violations found when validating the movement and its resulting inventory state.
movement_input object The original movement record and related inventory snapshots provided for validation.
validation_status string The overall result derived from the inventory invariant checks.
availability_check object A computed check that the movement does not consume more available stock than is held at the source location.
batch_traceability_valid boolean Indicates whether batch identifiers are tracked consistently between the movement and its inventory snapshots.
location_transition_valid boolean Indicates whether the recorded source and destination locations are consistent with the movement and inventory snapshots.
quantity_conservation_check object A computed comparison of the expected net quantity change with the actual change shown in the inventory snapshots.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

contact@mobiusi.com

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