Shrinkage exception investigation
Inventory losses are hard to investigate when counts, transfers, and adjustments have incompatible references.
The challenge behind the workflow.
Inventory losses are hard to investigate when counts, transfers, and adjustments have incompatible references.
Connect demand, inventory, orders, fulfillment, and customer permissions. Give merchandising and operations teams a common view of what changed, where the data is incomplete, and which action needs review.
Data to bring together
- Stock counts
- Transfer records
- Inventory adjustments
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
Align item-location histories and distinguish authorized adjustments from unexplained differences.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Group recurring discrepancies by process stage and data-quality condition.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish evidence-backed exception packs for operational review.
Make the output available to the right people with appropriate access, ownership, and review evidence.
An inventory discrepancy review
Make the next run easier.
Shared transaction histories reduce manual reconstruction of inventory movement.
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
Time investigating unexplained stock differences
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Do not infer employee misconduct from an inventory anomaly.
AI with professional judgment.
Use AI to explain anomalies and draft planning commentary. Merchandising, pricing, customer outreach, and stock decisions stay with authorized teams.
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.