Two-way sync
Changes in Bigcommerce or Gladly instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and Gladly in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Gladly holds the customer relationship: the contacts, accounts, and deals a go-to-market team works. Bigcommerce runs the buying side: who placed which order, what they bought, and where it ships. The two describe the same people and companies, and when they are connected only by exports, sales answers questions without recent orders in front of them while the store works from account details that changed weeks ago.
Stacksync links Conversation items, Agents, Topics, Tasks in Gladly to Brands, Inventory, Price Lists, Shipments in Bigcommerce with bi-directional, real-time sync. New customers, order activity, and corrected contact details move in whichever direction you configure, field by field, with conflicts resolved by rules you set. A record created or changed on either side shows up on the other within seconds, with no CSV exports and no nightly job.
The shared entity is the customer, matched on email or an external ID, so both systems agree on who the buyer is and the order history sits next to the relationship instead of in a separate tab.
A customer created in Bigcommerce creates or updates the matching contact or account in Gladly, so first-time and repeat buyers land in the relationship system without a manual import.
An email, phone, or shipping and billing address corrected in either system updates the other, so the next order and the next outreach both use current information.
Lifecycle stage, tier, or account owner set in Gladly syncs onto the customer record in Bigcommerce, so the buying side can act on how the relationship is classified.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Bigcommerce objects | Gladly objects | How this pairing syncs | |
|---|---|---|---|
| Variants and SKUs Per-variant pricing and inventory; synced to keep stock and SKU data aligned with an ERP or WMS at the option level. | Agents User records used to attribute work in CX analytics. | Variants and SKUs is specific to Bigcommerce and Agents to Gladly — each maps to any object or custom field on the other side. | |
| Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Orders is specific to Bigcommerce and Topics to Gladly — each maps to any object or custom field on the other side. | |
| Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Tasks Follow-up work items created from external triggers or synced for workload reporting. | Customers is specific to Bigcommerce and Tasks to Gladly — each maps to any object or custom field on the other side. | |
| Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Categories is specific to Bigcommerce and Customer profiles to Gladly — each maps to any object or custom field on the other side. | |
| Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Brands is specific to Bigcommerce and Conversations to Gladly — each maps to any object or custom field on the other side. | |
| Inventory Product- or variant-level stock, plus multi-location counts via the V3 Inventory API; written from a WMS to reflect on-hand quantities. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Inventory is specific to Bigcommerce and Conversation items to Gladly — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionBigcommerce notifies Stacksync of record changes through webhook events. Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more).
DeliveryEach detected change is written to Gladly through its API, with automatic retries and rate-limit backoff.
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bigcommerce–Gladly connection.
Changes in Bigcommerce or Gladly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or Gladly data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Bigcommerce or Gladly record.
Track your Bigcommerce ⇄ Gladly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and Gladly.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Bigcommerce and Gladly with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Bigcommerce and Gladly objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Bigcommerce and Gladly: authenticate both systems, choose the objects to sync (such as Bigcommerce's Variants and SKUs and Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Gladly: Customer profiles are built to merge external identifiers (email, phone, order numbers), which is what integrations key on when matching records from other systems. Bigcommerce: Rate-limit quota refreshes every 30 seconds rather than continuously, so a burst of order events during a sale can exhaust the window. Stacksync's field mapping accounts for these differences between Bigcommerce and Gladly without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Bigcommerce and Gladly records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Bigcommerce and Gladly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bigcommerce–Gladly integration in-house.
Yes — Stacksync ships production-grade connectors for both Bigcommerce and Gladly. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Bigcommerce: Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more); polling uses date_modified:min/max filters on Products, Orders, and Customers. On Gladly: Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 369 integrations available for Bigcommerce and Gladly.