
Sif Jakobs Jewellery: automated exchanges and store credit across four markets
Sif Jakobs Jewellery lets customers exchange a piece of jewellery or take store credit instead of a refund. Connectify has automated both in Returnflows and Shopify – across four stores and four currencies.
- Customer
- Sif Jakobs Jewellery ApS
- Industry
- Jewellery · Danish brand
- Systems
Returnflows
Shopify
About Sif Jakobs Jewellery
Sif Jakobs Jewellery is a Danish jewellery brand with its own Shopify stores in Denmark, Germany, Sweden and the UK. Customers register their returns in Returnflows.
The challenge
Customers who send a piece of jewellery back can exchange it for something else or take store credit instead of a refund. That’s good for both the customer and the business, but it meant a lot of manual work in Shopify. Every exchange needed a new order that someone had to create by hand. Store-credit returns had to be refunded and the items put back in stock.
With four stores and four currencies, that added up to a lot of clicks every day.
How we solved it
Every ten minutes Connectify fetches orders and returns from the four stores.
If the customer chooses an exchange, we create a new order in Shopify with the customer’s address, the new items, shipping and any price difference. The new order is linked to the original with tags, a metafield and a note, so you can always see where it came from.
If the customer chooses store credit, we create the refund in Shopify and put the items back in stock at the right location. The customer receives the value as a gift card, and stock levels and order status are correct afterwards.
Each flow can be switched on and off per store. We keep track of every single return, so it is only handled once, even when there are several returns or exchanges on the same order.
The result
Exchanges become new orders in Shopify, and store-credit returns are refunded and restocked without anyone doing it by hand.
It runs on its own in all four markets, and the team only spends time on the returns that fall outside the normal.
Read more about the Returnflows integration.
The integrations behind it

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