DatriseAI-first ETL

3PL Central to CSV Files Integration

AI-first ETL from 3PL Central into CSV Files. Governed entities, incremental sync, typed landing tables.

How Datrise loads 3PL Central into CSV Files

Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

3PL Central: Third-party logistics warehouse and order operations.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How 3PL Central entities map to CSV Files

3PL Central entityCSV Files objectNotes
orderstplcentral_ordersid PK · custom fields → JSON-encoded strings for nested fields
receiptstplcentral_receiptsid PK · linked to tplcentral_orders
inventory levelstplcentral_inventory_levelsid PK · linked to tplcentral_orders
itemstplcentral_itemsid PK · linked to tplcentral_orders

FAQ

How does Datrise handle 3PL Central's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the 3PL Central to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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