Supply Chain & Retail Solutions release notes

Data Ingestion API v2​

• Schema lifecycle management — save a standard schema per application version, roll it out to a tenant solution (automatically creates warehouse tables and a _failed_rows companion table for each), upgrade to a new schema version with additive-only changes, or add individual columns without a full version upgrade.
• Data Quality Dashboard — a pre-built canvas asset that monitors ingestion outcomes in real time: KPI cards for records ingested and pass/fail/warning counts, time-series charts, top error codes, per-table and per-request breakdowns, and a failed-rows detail page showing the exact source field values that failed validation.
• Scheduled ingestion — opt-in per table and tenant; rows buffer as they arrive and flush to the warehouse on a configured cron schedule. Both Quartz and Unix cron formats are supported.
• Async validation by default — validation runs asynchronously after the API responds; failed rows are written to the _failed_rows companion tables and surfaced in the Data Quality Dashboard.
• dryRun flag — all schema and ingest endpoints accept dryRun: true to validate a payload without persisting it.
• 207 Multi-Status partial-success — rollouts and upgrades return 207 when some tables succeed and some fail, with successfulObjects and failedObjects maps in the response.

Learn more​

• Getting started
• Schema lifecycle
• Scheduled ingestion
• Data Quality Dashboard
• API guide — error codes