API integration fails in logistics management due to JSON schema validation errors on shipment payloads

Our shipment creation API calls to Blue Yonder Luminate logistics management are failing with JSON schema validation errors. We’re trying to automate shipment creation from our WMS, but approximately 30% of our API requests are rejected.

The error response we’re getting:

{
  "error": "SCHEMA_VALIDATION_FAILED",
  "message": "Invalid payload structure",
  "field": "shipment.carrier.serviceLevel"
}

We’re following the API documentation for version 2023.2, but the schema requirements seem stricter than documented. The payload validation is rejecting requests that we believe are correctly formatted. Our API error handling is basic right now - we just log failures and retry, but we need to understand what’s actually wrong with our payload structure.

Has anyone successfully integrated external systems with the logistics management shipment API? What are the exact JSON schema requirements for the carrier and service level fields?

The schema validation in 2023.2 is definitely stricter than earlier versions. The serviceLevel field requires an exact match to values in your carrier configuration. You can’t use arbitrary strings - they must match the service level codes defined in your carrier master data. Use the GET /api/carriers/{carrierId}/serviceLevels endpoint to retrieve valid values before constructing your shipment payload.

Your API error handling needs improvement. Instead of just logging and retrying, implement proper payload validation before sending requests. We built a validation layer that checks payloads against the Blue Yonder schema before making API calls. This catches errors earlier and provides better error messages. You can retrieve the JSON schema definition from the /api/schema/shipment endpoint and use a JSON schema validator library to pre-validate your payloads.

Enable detailed validation error responses in your API configuration. By default, Blue Yonder returns generic error messages, but you can configure it to return detailed field-level validation errors. This makes debugging much easier. Go to API Configuration > Error Handling and enable ‘Detailed Validation Errors’. This will show you exactly which fields are failing validation and why.

Beyond the serviceLevel issue, watch out for required fields that aren’t marked as required in the documentation. In our integration, we found that fields like shipment.origin.facilityCode and shipment.destination.postalCode are effectively required even though the schema shows them as optional. The validation logic has business rules that go beyond pure schema validation. Test thoroughly with realistic data scenarios.