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The Best Way to Merge BigCommerce and Walmart Marketplace Data for Spreadsheet Automation

If you're doing spreadsheet automation by hand right now, here's the fastest path from "two exports" to "one usable sheet," and why the manual version keeps breaking.

Step by step

  1. Decide your target columns once. Most people settle on Date, Channel, Order ID, and Total — set that up in CSV Experts and you won't redo it.
  2. Import the BigCommerce file first. The first time you see this file shape, you map each of its columns to your target list.
  3. Import the Walmart Marketplace file the same way. Its columns get mapped once too — after that, every future file with this shape merges with no extra clicks.
  4. Check the merged totals. Dates and numbers are normalized automatically, so a European "24,00" and a US "24.00" both land as the same value.
  5. Export. CSV or Excel, ready for spreadsheet automation.

What actually goes wrong if you do this by hand

BigCommerce gives you an Order Date column that includes a full timestamp, while Walmart Marketplace gives you an Order Date column separate from the ship-by date — line those up manually across a few hundred rows and it's easy to miscount a week. On top of that, BigCommerce's export many optional columns are exported blank depending on store configuration, which can throw off auto-mapping by header position, and Walmart Marketplace's each order line can appear as its own row with a repeated order ID, similar to Shopify's line-item export. Individually those are minor quirks; combined into one spreadsheet by hand, they're where most reconciliation errors for spreadsheet automation actually come from.

Why it matters for spreadsheet automation

Automating a recurring sales spreadsheet breaks the moment a platform's export headers don't match what the automation expects.

Try it with your own files →

Just want the quick column-difference reference instead? See the short version.

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