Lightspeed to Shopify POS Migration
In this case study, a legacy fashion retailer spanning Australia, the US, and the UK approached us to migrate from Lightspeed X-Series to Shopify. With over a decade of customer records, live POS systems, and region-specific operations, every detail mattered. Our team stepped in to manage the complexity, prevent disruptions, and ensure nothing was lost in translation. Keep reading for more!
Data We Successfully Migrated
Products
Customers
Orders
Custom Data
About Our Client
Our client is a long-established, high-end fashion and lifestyle retailer based in North America, with a legacy spanning decades in the industry. Today, they operate a premium online store alongside an extensive network of physical retail locations, offering clothing, footwear, and accessories to a loyal customer base across multiple regions.
They were previously running their business on Lightspeed X-Series. To modernize their infrastructure and unify all sales channels under one ecosystem, they decided to migrate to Shopify. Each country would operate its own Shopify store to support region-specific needs while using Shopify POS in their respective physical locations.
After exploring several service providers, they chose LitExtension for our proven expertise in complex eCommerce and POS data migrations. That’s when the client booked the meeting with our expert for further consultation.
Our Client’s Requirements
The client chose LitExtension’s POS Migration Service to support the move from multiple Lightspeed X-Series (Vend POS) stores to Shopify, aiming to unify their in-store and online operations across regions.
Their key requirements included:
- Migrating multiple store databases from Lightspeed X-Series to separate Shopify stores for Australia, the US, and the UK.
- Transferring all customer data, including profiles, lifetime spend, tags, and order history.
- Migrating existing orders, including those with partial payments, to preserve transactional records and operational continuity.
- Moving active gift cards with accurate balances and codes to ensure a seamless customer experience post-migration.
- Preserving store credit and ensuring it is properly mapped to each customer’s profile within Shopify.
The Challenges
This project came with several challenges due to its scale and technical constraints.
First, the client had over a decade of data across three markets – Australia, the US, and the UK. Migrating this large volume into separate Shopify stores required careful data mapping, scenario testing, and thorough QA to ensure accuracy across regions.
Another issue arose from the client’s existing Vend–Shopify integration. The integration remained active during the early migration phase because it had not been disabled in advance on the client’s side. As a result, Shopify orders continued syncing back to Vend as new entries, creating duplicate records and reporting discrepancies.
Lastly, Shopify’s API does not allow changes to payment or fulfillment statuses after orders are imported. This affected orders that were originally marked as “Unpaid” or “Unfulfilled” in Lightspeed but were later updated.
Our Solution
To address these challenges, we resolved each issue one by one with a structured approach.
To manage the large data volume across three regions, we applied a staggered migration strategy – starting with Australia, followed by the US and the UK. This allowed us to refine mappings and validation processes after each phase, ensuring smoother rollouts for subsequent stores.
The unintended Vend–Shopify synchronization – caused by the integration remaining active and not being communicated in advance on the client’s side – was handled by immediately pausing the sync to prevent further duplication. We then audited the affected data, identified system-generated duplicate orders, and removed them from the target environment before continuing.
Regarding Shopify’s API limitation on updating payment and fulfillment statuses after import, we implemented a controlled re-import process. Orders with updated statuses in Vend were identified, corrected at the source, and re-migrated to ensure accurate records at launch.
These steps ensured clean data, accurate reporting, and a stable go-live across all regions.
Project Timeline
Migration Preparation
- Technical consultation: 2 days
- Environment setup: 2 days
Demo Migration
- Run Demo Migration and wait for client’s confirmation: 6 days
Full Migration
- Run the Full Migration and review: 11 days
Project Handling
- Project reviewing based on client’s feedback: 9 day
What Customer Thinks About Us
“Thank you again for your patience as we work through this, really appreciate so many times LitExtension’s dev team prepared demo orders to check the possible results and re-migrate them if there were issues with the demo orders.”
More Stories of Success
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