If you manage corporate gifting, wholesale, or other high-volume sales, you’ve likely faced the challenge of getting large batches of orders into Shopify. Manually entering each order is time-consuming and error-prone, and there are no built-in tools in Shopify to make order imports any easier.

That’s where Send to Many comes in. Our app is built to help merchants import orders into Shopify fast — with powerful features tailored for bulk order workflows.

The Easiest Way to Import Orders into Shopify

With Send to Many, you can upload a spreadsheet and instantly create multiple orders in Shopify, no copy-pasting required.

Your customers might be employees, clients, influencers, or contest winners. Each person might be receiving a different item, shipping to a different address, and using a unique message. Instead of entering them one by one, just upload your file and let Send to Many take care of the rest.

Why Merchants Love Shopify Order Imports with Send to Many

• Faster Fulfillment: Import hundreds of orders in minutes, saving hours of admin work.

• Error Reduction: Eliminate typos and data entry mistakes with structured templates.

• Scalable Gifting: Easily handle high-volume sales during the holidays, BFCM, or key campaign periods.

• Custom Settings: Add gift messages, tag orders, apply discounts, or use different payment methods as needed.

Whether you’re importing orders for corporate gifting, VIP promotions, internal giveaways, or B2B fulfillment, our Shopify app simplifies the entire order import process.

Perfect for Teams Handling:

• Corporate gifting order imports, especially during November and December / BFCM

• Influencer sends

• Orders from other platforms like Etsy or Amazon

• Employee gifts

• Event giveaways

• Wholesale or distributor orders

• Crowdfunded reward fulfillment

Ready to Streamline Your Shopify Order Imports?

Skip the manual entry and get your bulk orders into Shopify with just a few clicks. Send to Many is trusted by Shopify stores to import orders quickly, accurately, and at scale.