An RFID observation can inform an inventory adjustment, but a controlled workflow still needs evidence, a reason, review, authorization and an auditable system update.
01 / FELDNOTIZ
Separate observation from proposal
Keep the raw identity and read context distinct from the proposed quantity, location or status change. Define the reconciliation rule that makes an observation a candidate adjustment, and keep uncertain observations out of an automatic final state.
02 / FELDNOTIZ
Attach evidence and reason
Classify missing, unexpected, duplicate, damaged, relocated, retired and master-data-related conditions with reason codes the operator and reviewer can understand. Link the proposal to the relevant observation, expected record and any follow-up check.
03 / FELDNOTIZ
Route exceptions to an owner
Define who investigates each variance type, the evidence they need and the action that closes, rejects or escalates it. A queue without ownership can make unresolved observations disappear from daily work without resolving the underlying condition.
04 / FELDNOTIZ
Require accountable approval
Set the role that may approve, reject or amend an adjustment, including appropriate separation between the person proposing and the person authorizing it. Do not allow a reader observation or automated retry to bypass the agreed control model.
05 / FELDNOTIZ
Confirm system delivery
Record the submitted adjustment, target-system response, retry or rejection and final state. Test partial batches, duplicate submissions, offline work and recovery after a failed update so retry behavior does not create a second adjustment.
06 / FELDNOTIZ
Review the closed change
Retain the final adjustment, evidence, reason, approver and resulting system state according to the project policy. Use closed cases to identify recurring tag, master-data, location or process conditions that need a separate corrective action.
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