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This guide shows how to perform an Amazon flat-file bulk listing update using Add Products via Upload, including how to download the correct category template, fill only the fields you intend to change, upload safely, and diagnose errors using the Processing Report. It also includes practical scenarios and risk controls to help you scale updates without breaking your catalog.
Applies to: This workflow is available in major Amazon marketplaces where Add Products via Upload exists, including Amazon.com, Amazon.ca, Amazon.co.uk, and key EU sites. The exact template fields and valid values vary by category and marketplace.
Takeaway: Use flat files when you need speed, consistency, or better diagnostics than the single-SKU edit screen.
Manual edits inside Manage Inventory work fine for one-off changes, but they often break down when you manage multiple SKUs, variations, or repeated updates. If you have ever edited a title or bullet points and nothing happened, or the change reverted later, a flat file can be the more reliable path because it forces a structured submission and generates a Processing Report that explains outcomes.
Quick comparison:
Takeaway: A flat file is a category-specific spreadsheet with strict rules. Treat it like a controlled submission form, not a freeform document.
Amazon’s category-specific inventory file template is what most sellers mean by an Amazon flat file. Each category template includes required fields, optional fields, and controlled fields that only accept specific values. The same concept applies across marketplaces, but the column names and accepted values can differ.
Core columns you will see often:
Some fields are operationally safe to update in bulk. Others are more likely to trigger review, cause suppression, or create catalog conflicts. A professional approach is to separate updates into batches by risk level.
Safety rule: Start with a 1 to 2 SKU test upload, confirm the listing reflects changes correctly, then scale to the full batch. This one habit prevents most catalog disasters.
Takeaway: The template must match your product’s current category. The wrong template is one of the fastest ways to create errors or wipe out attributes.
Why category matching matters:
Reference: Create your inventory file template
Takeaway: Fill only what you intend to change, keep controlled values exact, and choose the correct update mode to avoid accidental overwrites.
Before you touch the template, make a simple change plan:
Each category template highlights required columns (often with color). Start with the fields that identify the SKU and classify the product:
Dropdown fields are controlled. If the dropdown does not load, do not guess. Use the Valid Values tab to copy the exact accepted value. A practical habit is to paste as plain text and avoid carrying formatting that can break validation.
Safe copy-paste method:
This is the most important execution detail for beginners. A flat file does not ask you to fill in everything. It is asking you to fill in what is required and what you want to change, based on your chosen update mode.
Rule of thumb: If you leave a field blank and you use a full overwrite mode, Amazon may interpret the blank as "replace with empty" depending on the field. That is how bullet points, backend keywords, or browse nodes can disappear.
The template includes an action field (commonly called update-delete). Your choice here controls how aggressive Amazon will be with overwriting data:
If you are editing a variation family, Amazon becomes strict. You must provide parentage, parent SKU, relationship type, variation theme, and the attributes required by that theme.
If you are updating an existing FBA listing, include the fulfillment center field using the valid value for your marketplace (example, commonly seen for Amazon US is Amazon_na). If you skip it, some sellers see their offers switch to FBM, which can lead to stranded inventory and unnecessary cleanup work.
Key takeaway: Treat FBA fields as operational controls, not optional metadata. One missing value can create hours of downstream work.
Takeaway: Uploading is only half the job. The Processing Report is where you confirm success and pinpoint fixes.
After upload, monitor the batch status in Check Upload Status. Then download the Processing Report. This report is usually a tab-delimited file you can open in a spreadsheet editor. Start with the top summary, then jump directly to error rows.
Reference: Review a Processing Report
Error codes vary by marketplace and template version, but the fix pattern is consistent: identify the field name in the message, validate against Data Definitions and Valid Values, correct the row, then reupload.
Key takeaway: Do not debug by guessing. Debug by reading the report, correcting the specific cell, and reuploading a clean batch.
Takeaway: Most flat file problems are not technical. They are process problems. Use small tests, backups, and staged rollouts.
Goal: Update titles across 40 SKUs in Home and Kitchen after keyword research, without changing bullets or backend terms.
Watch out: If you accidentally use a full overwrite mode and leave bullet fields blank, you can clear bullets and keywords unintentionally.
Key takeaway: For content-only refreshes, PartialUpdate plus a minimal field set is the safest combination.
What happened: You uploaded a file to change only the title, but used Update or Complete update while leaving bullet fields empty. After processing, the title changed, but the bullets disappeared or became incomplete.
Key takeaway: The Processing Report tells you what happened. Your backup tells you what to restore. Together, they turn a mistake into a controlled recovery.
Goal: Rebuild parent-child relationships when variations are broken, children appear as standalone listings, or the parent is missing.
Key takeaway: Variation repairs are high risk. Use a separate upload batch, a full backup, and strict attribute consistency.
Some sellers use flat files to propose corrected dimensions and weight, then request a remeasure through Seller Support. This can be useful when you believe Amazon recorded incorrect measurements and your FBA fees are higher than expected. Templates often include both unit dimensions and package dimensions. If your packaging does not differ, repeating unit values into package values can keep data consistent and reduce validation issues.
Key takeaway: Read unit labels carefully. Many templates list unit-of-measure columns separately from the numeric value columns, and the order can vary by category.
Takeaway: SellerSprite makes your bulk edits performance-driven, not just operational, by connecting keywords, copy quality, and indexing checks.
Flat files are powerful, but they are also unforgiving. The smartest way to scale is to separate content planning from catalog submission: use SellerSprite to plan what you will change, then use the flat file to push only those validated fields.
Key takeaway: Listing Builder drafts turn backups into a habit, not a chore.
Key takeaway: Bulk updates should improve ranking and conversion, not just formatting. Use SellerSprite data to decide which fields to edit and which SKUs deserve priority.
Related guide: Listing Builder Guide
Join the SellerSprite community on the Facebook Group to share your sourcing journey, ask questions, and get support from fellow Amazon sellers.
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Takeaway: Most questions come down to controlling overwrite risk and reading the report correctly.high-risk
Yes. In fact, that is often the best approach. Use PartialUpdate, and fill only the identification fields plus the single field you want to change (example: item-name for title). This reduces overwrite risk and makes debugging faster.
Processing time depends on batch size and category. Many uploads process within minutes, but some catalog fields can take longer to reflect on the detail page due to validation, indexing refresh cycles, or category review.
Start with the message text in the Processing Report, not the code. Confirm the template category, then validate the named field using Data Definitions and Valid Values. For creation-related errors like 8560, confirm the product ID strategy and required fields. For marketplace-dependent codes like 9010 or 8064, the fix is often invalid values, restricted edits, or a mismatch between item type and template choice.
These are high-risk changes. They can trigger review, cause catalog conflicts, or break variations. If you must do it, isolate the change into a small test batch, keep a complete backup, and be prepared to open a Seller Support case if Amazon requires approval or documentation.
Use both in the right roles. Use SellerSprite Listing Builder to draft, validate, and back up content with keyword coverage and limits. Use flat files for structured submission and bulk execution, especially when Seller Central manual edits are unreliable.
Key takeaway: The safest bulk edit strategy is staged: plan and validate in SellerSprite, test 1 to 2 SKUs by flat file, then scale.
SellerSprite TeamWe support Amazon sellers worldwide using SellerSprite, with a focus on practical execution: listing optimization, bulk catalog operations, keyword workflows, and troubleshooting upload errors through Processing Reports. This guide reflects the patterns we see repeatedly when sellers scale from a few SKUs to complex catalogs with variations and multi-marketplace workflows.
Ready for the next step? Open the SellerSprite Academy course directory to continue building your Amazon FBA skills chapter by chapter.
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