Hydrocarbon logistics reconciliation
Dispatch, receipt, and inventory records disagree as products move between facilities and carriers.
The challenge behind the workflow.
Dispatch, receipt, and inventory records disagree as products move between facilities and carriers.
Connect asset, production, maintenance, environmental, and commercial information across field and enterprise systems. Keep measurement context and engineering review attached to analysis, especially when sources use different units and reporting intervals.
Data to bring together
- Dispatch tickets
- Receipt measurements
- Storage inventory
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Link movements and normalize product references, units, and custody timestamps.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify unmatched movements and discrepancies beyond approved review thresholds.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver a movement reconciliation pack with documented investigation ownership.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A product movement reconciliation
Make the next run easier.
A reusable movement model reduces manual matching of tickets and receipts.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Age of unmatched logistics movements
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Authorized teams confirm measurement basis and contractual settlement treatment.
AI with professional judgment.
Use AI to summarize operational evidence and draft investigation notes. Engineering and safety decisions require qualified review and remain outside autonomous control.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.