Real-time sync
Changes in Amazon Seller Central or Atlassian instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Atlassian in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Amazon Seller Central is a read-only source: Stacksync reads its data in real time and delivers it into Atlassian, so Atlassian always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.
Teams connect Amazon Seller Central to Atlassian to turn marketplace operations problems into tracked work. Order, shipment, and inventory exceptions from Seller Central become Jira Issues, so operations and engineering teams manage FBA Inventory shortfalls or Listings errors through the same boards and sprints as the rest of their work.
Stacksync syncs Returns, Reports, Feeds, Product Pricing in Amazon Seller Central with Confluence Pages, Confluence Spaces, Jira Issues, Jira Projects in Atlassian in real time. You choose which records overlap, map the fields that should match, and pick a direction or let changes flow both ways. From then on, an update made in either tool is reflected in the other within seconds, without exports or copy-paste.
Because the sync is field-level, each tool keeps its own extras; only the shared data is held in agreement.
problem Orders and Order Items from Seller Central create Jira Issues with details captured in Custom Fields.
FBA Inventory falling below threshold opens Jira Issues in the operations project for restock action.
Listings / Catalog Items errors become Jira Issues assigned through Boards and Sprints.
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.
| Amazon Seller Central objects | Atlassian objects | How this pairing syncs | |
|---|---|---|---|
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Issue Comments Threaded discussion synced into linked tickets in external systems. | Reports is specific to Amazon Seller Central and Issue Comments to Atlassian — each maps to any object or custom field on the other side. | |
| Feeds Asynchronous bulk write channel for price, inventory, and listing updates. | Attachments Files on issues mirrored to paired records where needed. | Feeds is specific to Amazon Seller Central and Attachments to Atlassian — each maps to any object or custom field on the other side. | |
| Product Pricing Current price and competitive pricing data read for repricing analysis. | Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Product Pricing is specific to Amazon Seller Central and Custom Fields to Atlassian — each maps to any object or custom field on the other side. | |
| Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Workflows and Statuses Status transitions mapped to stages in the paired system. | Orders is specific to Amazon Seller Central and Workflows and Statuses to Atlassian — each maps to any object or custom field on the other side. | |
| Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. | Users and Groups Assignees and reporters matched to identities in other tools. | Order Items is specific to Amazon Seller Central and Users and Groups to Atlassian — each maps to any object or custom field on the other side. | |
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Confluence Pages Documentation content readable and writable through the Confluence REST API. | Listings / Catalog Items is specific to Amazon Seller Central and Confluence Pages to Atlassian — 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.
DetectionStacksync polls Amazon Seller Central for changes on an incremental schedule, reading only records changed since the previous pass. Historical and incremental syncs (mechanism not further specified).
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryAmazon Seller Central does not accept inbound record writes, so this direction carries requests rather than records: Amazon Seller Central's output flows back as field updates on the originating Atlassian records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Atlassian connection.
Changes in Amazon Seller Central or Atlassian instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Atlassian data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Seller Central or Atlassian record.
Track your Amazon Seller Central ⇄ Atlassian sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Atlassian.
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 Amazon Seller Central and Atlassian 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 Amazon Seller Central and Atlassian 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 integration between Amazon Seller Central and Atlassian — Amazon Seller Central is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Common patterns for Amazon Seller Central and Atlassian: Order exception tracking; Inventory escalation; Listing fix queue. problem Orders and Order Items from Seller Central create Jira Issues with details captured in Custom Fields.
Amazon Seller Central: REST API (Selling Partner API, SP-API). Authentication: SP-API app credentials (LWA client ID/secret, application ID, Merchant ID/Seller ID token, refresh token, region) entered into the Stacksync connection form. Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Seller Central: One-way flow only: Amazon to destination systems (no write-back documented). Atlassian: Jira custom fields are identified by instance-specific IDs (customfield_XXXXX), so field mappings must be discovered per site rather than hard-coded. Stacksync's field mapping accounts for these differences between Amazon Seller Central and Atlassian 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 Amazon Seller Central and Atlassian records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Seller Central and Atlassian connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Seller Central–Atlassian integration in-house.
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 406 integrations available for Amazon Seller Central and Atlassian.