Amazon Now Lets Sellers Create Bulk Listings Using Custom Spreadsheet Templates
In early 2024 Amazon launched a bulk‑listing tool in Seller Central that lets sellers upload custom XLS or TSV spreadsheets. The AI‑driven field‑mapping cuts mis‑placed attribute errors by 30% and can process files with tens of thousands of rows, delivering draft listings in minutes.
Overview
Amazon has rolled out a new bulk‑listing utility inside Seller Central that lets sellers upload their own inventory spreadsheets instead of the platform‑provided templates. The feature, launched in early 2024, uses artificial intelligence to read the uploaded file and automatically create draft product listings that match Amazon’s catalog requirements. Sellers with large assortments or those who already manage data on other marketplaces stand to shave hours, or even days, off the onboarding process.
Key Points
- Custom spreadsheet uploads — Sellers can submit XLS or TSV files directly from the “Add your products” page, bypassing Amazon’s proprietary listing loader templates.
- AI‑driven field mapping — The system scans column headers, detects product attributes such as title, price, and UPC, and aligns them with Amazon’s internal fields without manual re‑formatting.
- Cross‑platform compatibility — Files exported from Shopify, Walmart, or a proprietary ERP can be used, eliminating the need to recreate data in Amazon’s format.
- Draft‑first workflow — All generated listings appear as drafts, giving sellers a safety net to verify mappings before the items go live.
- Error reduction — Early tests show a 30 % drop in mis‑placed attribute errors compared with the traditional template method, because the AI catches mismatched columns automatically.
- Scalable for large catalogs — Sellers can upload files containing tens of thousands of rows; the AI processes them in batches, producing draft listings within minutes.
How Bulk Listing Tool Works
- Select custom upload — From the “Add your products” section, the seller chooses the “Upload your own spreadsheet” option and picks an XLS or TSV file. Example: A seller of home décor uploads a 5,000‑row Excel file exported from their inventory management system.
- AI analyzes and maps — Amazon’s AI engine reads the file, matches column headings like “ItemName” or “Cost” to Amazon attributes such as “Product Title” and “Standard Price,” and creates draft listings.
Analysis & Recommendations
Why This Matters
The AI mapping reduces manual re‑formatting, lowering error rates by 30% and shrinking onboarding from weeks to hours for large catalogs. Sellers can now use exports from Shopify, Walmart or ERP systems, accelerating multi‑channel expansion.
Key Takeaways
- Custom spreadsheet uploads accept XLS or TSV files, bypassing Amazon's proprietary templates.
- AI‑driven field mapping automatically aligns headers like "ItemName" to Amazon's "Title" field, reducing attribute errors by 30%.
- The tool can handle files with tens of thousands of rows and generates draft listings within minutes.
- Launched in early 2024, the workflow cuts preparation time from weeks to a few hours for 10,000‑SKU retailers.
Recommended Actions
- →Prepare a clean spreadsheet with clear headers (e.g., Product Title, SKU, Price, UPC, Brand) and go to Seller Central > Add your products > Upload ...
- →Run a pilot upload of 50‑100 items, then review the drafts under Seller Central > Draft listings and correct any mismapped fields before full upload.
- →Create a review checklist (price, quantity, UPC, category) in your SOP and use it to validate each draft before publishing.
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