Automated Seller Central Order ETL & FTP Delivery
Stop spending hours pulling Amazon order reports and massaging tab-delimited files. ShipmentBot’s Seller Central Order ETL & FTP Delivery automates the entire extraction, transformation, and delivery process so your team can focus on selling—not spreadsheets.
Key Benefits
- Hands-free delivery of Seller Central-formatted CSVs
- Built-in de-duplication to prevent duplicate rows or re-uploads
- Configurable filters for pending, cancelled, and return orders
- Secure SFTP/FTP delivery with automatic directory management
- Instant email receipts summarising rows exported and files uploaded
How It Works
- Extract – ShipmentBot requests the last 30 days of Amazon order data overnight and stores the raw tab-delimited report.
- Transform – The pipeline cleans the file, removes duplicates, stamps shipped items, and applies your business rules (e.g., skip pending or cancelled orders).
- Load – A polished CSV is pushed to your designated FTP/SFTP endpoint (e.g.,
seller-central-orders/). After upload, you receive a branded email receipt with the file attached.
Behind the scenes the jobs re-queue themselves until Amazon marks the report as DONE, use exponential back-off to minimise API calls, and log upload timestamps so the same attachment is never sent twice.
Customisation Options
- Toggle full FTP transfer on/off—still get the email even when FTP is disabled.
- Supplier-specific pipelines: enable the flow for all suppliers or only a select few.
- Add extra filters or destinations (S3, BigQuery, etc.) through our extension hooks.
ROI Impact
Customers using Seller Central Order ETL save 5–10 staff hours per week previously spent downloading, cleaning, and forwarding order data. That’s a ~$8k annual labour saving for a typical mid-market brand.
“ShipmentBot’s order ETL turned a daily, error-prone task into a background process we barely think about. Our ops team loves the daily summary emails.” — Alex P., VP Operations
Automate your Amazon order reporting today and redirect your team’s energy toward growth initiatives instead of manual data wrangling.