Connect BigCommerce with Square POS to sync products, stock, and orders across online and in-store sales, so reporting stays accurate and overselling drops.
• Square POS item variations (SKU, price, and modifier-like options where applicable) are mapped to Bigcommerce products, variants, and option sets, with SKU used as the primary match key.
• Inventory quantities are synchronized per location rules, with system ownership defined so one side is treated as the source of truth for stock on hand.
• Orders created in Bigcommerce are pushed to Square with line items, discounts, taxes, tenders, and customer references mapped to the closest supported objects.
• In-store sales, returns, and refunds recorded in Square can be imported to Bigcommerce as orders or adjustments, with status mapping to keep fulfillment and financial reporting consistent.
• Customer records are matched by email and phone, with conflict handling to prevent duplicate profiles and to preserve consent-related fields when available.
• Delta syncs send only changed products, inventory, and customers, and each sync run is logged with payload IDs for troubleshooting and replay.
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We map products and variants between BigCommerce and Square POS, then set sync rules for stock updates, refunds, and order status. Most setups run via API with scheduled or near real-time updates based on your operations.
Typical sync includes products, SKUs, prices, taxes, customers, orders, and returns, with field mapping so both systems “speak the same language.” We also align fulfillment locations so reporting stays consistent.
Yes, if Square locations and BigCommerce inventory locations are configured correctly, we can sync stock per store and route orders to the right location. The key is agreeing on a single source of truth for each SKU.
We run a catalog audit, normalize SKU rules, and reconcile variants before the first sync. That avoids duplicate product creation and fixes drift caused by different naming or option structures.
scandiweb has delivered 2,100+ eCommerce projects since 2003 and has deep integration experience across POS, ERP, and analytics stacks. You get engineers who can handle data mapping, edge cases, and long-term support.










