Why does this setting persistently fail during bulk schedule imports?
The CSV contains valid shift pattern IDs from the EU-FR environment. The upload tool rejects the file with a 400 Bad Request error, citing invalid pattern references.
Manual verification confirms the patterns exist and are active. The discrepancy suggests a synchronization delay or a validation bug within the import logic.
Documentation lacks specific troubleshooting steps for this validation failure.
This happens because the CSV parser rejecting non-ASCII characters in the shift pattern names, even if the IDs are valid.
Check your file encoding. The bulk import endpoint expects strict UTF-8 without BOM. If you exported from a local Excel instance, it likely added a byte order mark or used Latin-1 encoding. Save as “CSV UTF-8 (Comma delimited)” and retry.
You need to verify the encoding format of the CSV file before initiating the bulk upload process. The suggestion above regarding UTF-8 without BOM is absolutely correct, but there is an additional layer of complexity when dealing with EU-FR environments. French shift patterns often contain accented characters in their internal labels or descriptions, which can trigger validation errors if the file is saved with a Byte Order Mark (BOM). The Genesys Cloud WFM API parser is strict about this. When Excel saves a file as “CSV UTF-8”, it frequently prepends the BOM sequence (EF BB BF). The WFM bulk import endpoint interprets these bytes as part of the first column’s data, causing a mismatch against the expected integer or alphanumeric pattern ID. To fix this, open the CSV in a plain text editor like Notepad++ or VS Code. Ensure the encoding is set to UTF-8 without BOM. If using PowerShell, you can enforce this by piping the output through Out-File with the -NoNewline and specific encoding parameters, or simply use the Export-Csv cmdlet with -Encoding UTF8 and strip the BOM manually before sending.
Furthermore, consider the timing of the data sync if you are integrating this with ServiceNow or another external HR system. If the shift patterns were recently created or modified in Genesys Cloud, there might be a slight propagation delay before the WFM bulk upload service recognizes them as valid, even if they appear active in the UI. The bulk upload validation runs against a cached index that updates every few minutes. If you are pushing data immediately after pattern creation, wait for the next index cycle. Additionally, ensure that the Shift Pattern IDs in your CSV match the exact format returned by the GET /api/v2/wfm/schedules/shift-patterns endpoint. Sometimes, copy-pasting IDs from the UI includes hidden whitespace characters. Use a regex replace to strip any non-printable characters from the ID column. Finally, if you are using a webhook to trigger this upload from ServiceNow, ensure the payload body is correctly serialized as application/csv and not application/json. The content-type header mismatch can also result in a generic 400 Bad Request error that masks the true issue.