Connect Bigcommerce with Lightspeed Retail to sync products, inventory, and in-store orders with your online store, so stock stays accurate and reporting is cleaner.
• Lightspeed Retail is treated as the system of record for core retail catalog entities, while Bigcommerce owns storefront content such as URLs, themes, and checkout configuration.
• Products and variants are mapped between platforms using stable identifiers (SKU/variant SKU and platform IDs), with attribute and option values translated to Bigcommerce product options.
• Inventory levels are synchronized per location or aggregated, with delta sync logic sending only changed stock records and guarding against negative inventory writes.
• Orders placed in Bigcommerce are exported to Lightspeed Retail as sales documents with customer, line items, discounts, shipping, tax, and payment method mappings where supported.
• Order status updates and fulfillment events are pulled back to Bigcommerce, with tracking numbers and shipment lines mapped to Bigcommerce fulfillments.
• Sync jobs validate payloads, log processed entities, and quarantine failed records for retry with error context to prevent partial updates.
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We map SKUs, locations, and tax rules, then connect Lightspeed Retail APIs to Bigcommerce via middleware or a custom app. Sync can run scheduled or near real time, depending on rate limits and volume.
Typical sync includes products and variants, price lists, inventory by location, customers, and POS and online orders. We also align refunds and returns logic so reporting stays consistent.
Yes, Lightspeed Retail can own catalog and stock, while Bigcommerce owns online checkout and promotions. We set clear write rules so updates do not overwrite each other.
Yes, we can sync inventory per Lightspeed location and expose correct availability in Bigcommerce by store, region, or shipping rules. This is key for buy online and in-store fulfillment setups.
We use fast stock updates, order reservation rules, and conflict handling for edge cases like offline POS sales. The goal is to reduce “last unit” errors, not create more manual work.










