Connect Bigcommerce with Clover POS to sync products, inventory, prices, and orders across online and in-store channels, so stock levels stay accurate and reporting matches reality.
• Bigcommerce products, variants, SKUs, pricing, and tax classes are mapped to Clover items and item groups, with configurable ownership per field to avoid overwrites.
• Inventory quantities are synchronized by location where supported, mapping Bigcommerce inventory locations to Clover merchants or registers, and applying reserved stock logic when applicable.
• Order data is pushed from Bigcommerce to Clover as sales records with line items, discounts, shipping, and payment method mappings, keeping totals consistent across systems.
• Refunds and cancellations are synchronized based on order status events, with partial refunds handled as line-level adjustments when supported by the Clover API.
• Delta syncs send only changed records after the initial import, using updated-at timestamps and change detection to reduce API load.
• Sync jobs are queued and retried with idempotency keys, and integration logs store request, response, and mapping errors for traceability.
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We connect Bigcommerce and Clover via API, map SKUs, and define the sync direction and frequency for stock, prices, and products. Real-time or near-real-time updates depend on Clover plan, API limits, and how your catalog is structured.
Typical sync includes products, variants, SKUs, prices, inventory by location, customers, orders, refunds, and tax totals. We confirm the exact fields per store, since Clover apps and setups vary.
Yes – we can push Clover transactions into Bigcommerce as orders or use them to decrement Bigcommerce inventory, so availability stays correct. The right approach depends on your reporting needs and how you handle returns and exchanges.
It can, as long as your Clover setup tracks inventory per location and your Bigcommerce inventory settings are configured to match. We implement location mapping, safety buffers, and conflict rules to avoid oversells.
We use SKU as the primary key, run a catalog audit, and create matching rules for variants, bundles, and modifiers. If your data is messy, we add a one-time cleanup step before go-live.










