Amazon Seller Central
Read-only connector
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| See connector requirements. Confirm field permissions and sync direction. |
Bring supported Amazon Seller Central data into Rillet for your team's workflows and reporting. This connector supports updates from Amazon Seller Central to Rillet.
Example workflow
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting eventA change involving Amazon Seller Central Orders or Rillet Invoice needs a defined result in the other system.
Start with Amazon Seller Central Orders and Rillet Invoice. Use the record-matching and field-ownership rules from your mapping worksheet.
Create or locate the customer and products first; resolve taxes, currency, and fulfillment references.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.
What to verifyTest a partially invoiced order, tax rounding, and a repeated handoff without generating another invoice.
Review records and field ownershipMapping essentials
Match records by stable IDs and assign an owner for each field. The record notes identify the coverage to check.
Download the mapping worksheetCSV · No email required
| Amazon Seller Central record | Rillet record | Record matching | Field ownership |
|---|---|---|---|
| OrdersProposed record; confirm Stacksync object support.Business process handoff | InvoiceDocumented record: Incremental: ; historical: ; delete detection: | Link order and line IDs to invoice and line IDs; allow partial invoicing and multiple invoices per order. | Finance owns invoice posting; the order system supplies the approved commercial context. |
Use writable fields from the connected accounts. Read values from read-only fields without writing changes back to them, and define deletion handling separately.
Why teams connect Amazon Seller Central and Rillet
Start with the work your team needs to complete: keep records up to date, make operational data available for reporting, or move data to a new system. Choose one Amazon Seller Central and Rillet workflow to test, define what success looks like, and decide who handles failed updates.
Track Amazon-related service costs as Rillet Bills against the relevant Vendor.
Maintain a clean Customer ledger in Rillet for recurring marketplace buyers.
Start with the records your workflow needs. Check each system’s read and write requirements before mapping fields.
Read-only connector
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| See connector requirements. Confirm field permissions and sync direction. |
Read and write support varies by record
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| Incremental: ✅; historical: ✅; delete detection: ✅. Confirm field permissions and sync direction. |
| Incremental: ✅; historical: ✅; delete detection: ✅ Every 1h. Confirm field permissions and sync direction. |
| Incremental: ❌; historical: ✅; delete detection: ✅ Every 1h. Confirm field permissions and sync direction. |
| Incremental: ❌; historical: ✅; delete detection: ✅ Every 4h. Confirm field permissions and sync direction. |
Review how each system connects, detects changes, and permits access to your records.
View setup requirements and limits| Connection requirement | Amazon Seller Central | Rillet |
|---|---|---|
| Integration interface | REST API (Selling Partner API, SP-API) | REST API (OpenAPI-specified, with production and sandbox environments) |
| Authentication | SP-API app credentials | API key generated in Rillet |
| Change detection | Historical and incremental syncs are documented. | Historical and incremental syncs are documented by object. |
| Read access | Available for supported records | Available for supported records |
| Write access | Not supported by this connector | Available for supported records |
Enterprise controls
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:
Inspect sync errors and use retry and revert controls to resolve failed updates.
Read the recovery guideImplementation
Review setup, record relationships, testing, and recovery for your implementation.
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.
Setup guides: Authorize Amazon Seller Central
Setup guides: Authorize Rillet Connection
Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.
Use the Amazon Seller Central and Rillet planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Keep each record tied to its source ID. Use the references below to choose field owners and preserve relationships between records.
Download the mapping worksheet · CSV, no email required
Business process
Order-to-invoice handoff: Amazon Seller Central Orders provides context for Rillet Invoice. These are related records, not equivalent entities.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Amazon Seller Central: Orders documentationRillet: Invoice documentation
This pair can involve both record sync and process handoffs. Keep the Orders / Invoice relationship explicit: copying fields and creating a downstream business transaction require different validation.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected Orders or Invoice record needs a defined result in the other system.
Expected result: Test a partially invoiced order, tax rounding, and a repeated handoff without generating another invoice.
If it fails: Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.
Validate the selected objects and operations even where connector-level direction is documented.
Starting event: A finance-owned record in Rillet needs operational visibility through Orders or Listings / Catalog Items.
Expected result: Totals reconcile within the same entity/currency/window; a repeated handoff creates no duplicate financial transaction.
If it fails: Verify posting and settlement state before retrying. Use the approved adjustment path for already-posted transactions.
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
Test a partially invoiced order, tax rounding, and a repeated handoff without generating another invoice.
The expected sales order relationship is preserved with no duplicate action or unintended write.
Verify read access in Amazon Seller Central and write access in Rillet. Test the permitted route without relying on a return sync.
Only an approved, supported direction and permitted fields are written.
Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.
The process meets its agreed freshness target and reconciliation has no unexplained differences.
Start with the failed record and the destination error, then inspect the source value, field requirements, and access.
Inspect Amazon Seller Central Orders and Rillet Invoice, their IDs, and the destination error.
Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.
Check the Amazon Seller Central and Rillet connector guides, account permissions, and any operations marked On Request.
Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.
Compare current source values, destination validation, identity mappings, and any side effects already completed.
Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.
Read the Stacksync issues dashboard guide for retry and revert behavior.
See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.
Detect changesHistorical and incremental syncs are documented. The guide does not specify a universal detection interval.
Apply updatesSelected writable fields update in Rillet. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.
Detect changesThis route requires read access from Rillet and write access to Amazon Seller Central; the documented connector restrictions do not permit it.
Apply updatesUse a supported direction or review a separate integration method for this requirement.
The documented direction is Amazon Seller Central to Rillet for supported objects. Amazon Seller Central is documented as a read-only connector, so it cannot receive write-back through this connector. Authorize both systems, map the selected fields, and validate the first load and later changes.
Amazon Seller Central is read-only through Stacksync. Two-way sync is not supported through these connectors; use a supported direction or review another implementation.
Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Supply SP-API authorization credentials, merchant identification, region, and refresh token using the connector authorization guide. Generate an API key in Rillet Organization Setting > API Access. Use the pair worksheet to record ownership and acceptance criteria.
Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.
Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.
Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.
Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.
Start by reviewing Orders in Amazon Seller Central and Invoice in Rillet. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.
This pair can involve both record sync and process handoffs. Keep the Orders / Invoice relationship explicit: copying fields and creating a downstream business transaction require different validation.
Next step
Walk through your Amazon Seller Central and Rillet records, field mappings, and requirements with an integration engineer.