How to investigate a serialization exception
A useful serialization investigation separates the reported problem from the cause. Start with the identifiers and source evidence, assign the next action, and confirm the outcome before closing the case.
Record the symptom first
Write down what the user or system reported. Include the time, the system, and the relevant transaction or case reference. Record the product and serial identifiers exactly as received. Avoid rewriting the report as a confirmed cause before the evidence supports it.
For example, a missing response does not by itself prove that a record is absent. The request may have failed, used the wrong identifier, or reached the wrong endpoint. Treat these as possibilities to investigate.
Identify the evidence needed
List the sources that can answer the next question. These may include the original message, a processing result, a product record, partner details, or visibility event data. GS1 describes EPCIS as a standard for sharing visibility event data. Its role is distinct from the case workflow used to investigate an issue.
Keep the source reference and the time of retrieval with the evidence. If two systems disagree, record the difference and identify which team can explain it.
Assign a specific next action
An owner needs a clear request. Replace “Investigate issue” with a task such as “Confirm the location identifier used by the receiving system.” Record who must respond and which evidence will resolve the question.
Verify the correction
After an approved correction, check the original failure again. Confirm that the expected result occurred and that no required confirmation remains open. Product disposition and regulatory decisions must follow the organization's approved procedures.
Keep a useful closure record
A closure note should state the confirmed cause, the action taken, the evidence checked, and any follow-up needed. If the cause remains unknown, say so.
Review repeated cases
Group cases by confirmed cause and compare like-for-like periods. Repeated identifier mismatches may point to a data ownership issue. Repeated waiting time may point to an unclear partner handoff.
Apply the process with vSMAART
CheQD supports the exception work. SynQD and ConneQD can contribute data and system context within the agreed scope. See also serialization exception management.
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