Import Data
Learn how to bulk import data into Vintaflow using CSV or Excel files.
Supported Import Types
Type | Imports |
|---|---|
Product | Your product catalog |
Inventory | Stock levels in a warehouse |
Order | Orders and their line items |
Import Process Overview
- Prepare your data file
- Select or create a data mapping template
- Upload the file and acknowledge the warning
- Check the job result
Preparing Your File
File Formats
- CSV - comma-separated values
- Excel (.xlsx)
File Requirements
- The first row must contain column headers
- Required fields must be filled for every row
- Data should be clean, with no stray formatting
Data Mapping Templates
A template maps your file's column headers to Vintaflow's fields, so you can keep exporting from your own system in its own format.
Managing Templates
Go to Settings > Data Mapping to see all templates. From there you can create, edit, and delete them, and filter by type.
Creating a Template
- Open the upload dialog and click Create Template, or create one from Settings > Data Mapping
- Choose the File Type - CSV or Excel
- Enter a Template Name, for example
Template LD1 - Map each Vintaflow field to the matching column header in your file
- Click Create
- Download the generated template and keep it for future imports
Required Fields
Products
Required: brand, name, alcohol_content, upc_code, bottles_per_case, producer
Optional fields include type, country and region of origin, vintage, varietals, description, food pairing, case code, bottle colour, volume, dimensions and weights, pallet configuration, production type, production lead time, and consolidation_group.
Inventory
Required: upc_code, quantity, date, warehouse_code, forecast_override, outbound
Optional: variant_sku, variant_name, variant_value, vat
Orders
Required: seller_account, buyer_warehouse_code, requested_delivery_date, upc_code, quantity
Optional fields include buyer and seller order numbers, seller warehouse code, buyer account, shipping and delivered dates, status, note, placed-on date, expected delivery date, variant SKUs, tracking number, type, lead time, capacity, alias, and consolidation_group.
Uploading a File
- Go to the relevant page - Products, Inventory, or Orders > Review
- Click Upload
- Select the File Type
- Choose your Data Mapping Template
- Click the upload area and select your file, or click Download Sample CSV first to check the expected shape
- Tick the acknowledgment box confirming you have reviewed the data
- Click Upload
Settings That Change Import Behaviour
Two account settings materially change what an order import does. Check them before your first large upload - see Account Settings.
Setting | Effect |
|---|---|
Reconcile Missing Items | Whether order lines absent from your file are deleted from the order or kept |
Auto Map Missing Products | Whether unmapped products are created and given inventory automatically, or skipped |
Checking the Result
Every import creates a background job. Go to Settings > Jobs to see whether it completed, how many records were processed, and which ones failed and why.
Import Tips
- Always test with a small file first
- Verify your data before importing - validation catches format errors, not wrong numbers
- Failed records do not affect the ones that succeeded
- Keep a copy of each mapping template alongside the export it was built for
Related
- Jobs Monitoring - results, failures, and reverts
- Export Data - getting data back out
- Custom Fields - importing into your own fields
Updated on: 27/08/2026
Thank you!