Real-time
Two-way sync
Changes in Linnworks or Namely instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Human resources
Linnworks to Namely integration — real-time, two-way sync
Keep Linnworks and Namely in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Linnworks and Namely
Sync the workers, org structure, and cost centers that Linnworks and Namely share in real time, so the people Namely manages stay current in the system that runs finance and operations.
Namely is the system of record for people: who was hired, which department and location they sit in, who they report to, and how they are paid. Linnworks runs finance and operations, and much of what it does depends on that same information, from booking labor cost to approving an expense report to staffing a project. Where the two are bridged by re-keying or an overnight file, each side spends the day out of step, with new hires missing from the systems they need and leavers still active where they should not be.
Stacksync syncs Stock Levels, Locations, Purchase Orders, Suppliers in Linnworks with Events, Profiles, Job Titles, Job Tiers in Namely field by field, in real time, and in both directions. You decide which system owns which fields, so the people side stays authoritative for worker data while Linnworks keeps its own accounting and operational detail, and every change made in one is reflected in the other within seconds instead of at the next batch run.
Common use cases
- 01 Keep stock levels consistent between Linnworks and external systems so multichannel listings stay aligned with sellable stock
- 02 Mirror processed orders, refunds, and returns into a warehouse for margin reporting across channels
- 03 Feed Namely Reports as JSON into a database on a schedule for roster, turnover, and diversity dashboards without manual CSV exports.
- 04 Provision or deprovision accounts in an IdP or directory when a Profile's user_status or start_date changes, and write the resulting user ID and email back onto the Profile.
Common sync patterns
Reporting lines drive approvals
Manager and reporting-hierarchy changes in Namely keep expense and purchase approval chains in Linnworks pointed at the right people.
Where Namely runs payroll: labor cost in the books
Pay and compensation data from Namely posts into Linnworks as labor cost, so finance sees workforce spend without re-entering it by hand.
Where Namely is the worker system of record: one employee master
When a worker is hired, moved, or offboarded in Namely, the matching employee record in Linnworks is created, updated, or deactivated, so the business system reflects the workforce as it actually is.
What you can sync between Linnworks and Namely
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.
| Linnworks objects | Namely objects | How this pairing syncs | |
|---|---|---|---|
| Processed Orders Completed orders feed accounting and warehouse-based margin reporting. | Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Processed Orders is specific to Linnworks and Job Tiers to Namely — each maps to any object or custom field on the other side. | |
| Stock Items SKU records keep product data aligned with ERPs and PIMs. | Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. | Stock Items is specific to Linnworks and Groups to Namely — each maps to any object or custom field on the other side. | |
| Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability. | Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. | Stock Levels is specific to Linnworks and Teams to Namely — each maps to any object or custom field on the other side. | |
| Locations Warehouse and fulfillment location records scope stock data during mapping. | Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. | Locations is specific to Linnworks and Reports to Namely — each maps to any object or custom field on the other side. | |
| Purchase Orders Replenishment POs sync with suppliers and accounting systems. | Profile Fields Metadata describing standard and company-defined custom field sections; read to discover schema and generate mappings. | Purchase Orders is specific to Linnworks and Profile Fields to Namely — each maps to any object or custom field on the other side. | |
| Suppliers Vendor records keep procurement data consistent across tools. | Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. | Suppliers is specific to Linnworks and Events to Namely — each maps to any object or custom field on the other side. |
How changes propagate between Linnworks and Namely
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.
Linnworks Namely Interval-based propagation
DetectionStacksync polls Linnworks for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and stock endpoints.
DeliveryEach detected change is written to Namely through its API, with automatic retries and rate-limit backoff.
Namely Linnworks Interval-based propagation
DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.
DeliveryEach detected change is written to Linnworks through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Linnworks: Per-endpoint rate limits apply on the Linnworks API.
- Namely: Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
What ships with Linnworks ⇄ Namely
Connect Linnworks and Namely for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Linnworks–Namely connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Linnworks or Namely data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Linnworks or Namely record.
Observability
Monitoring
Track your Linnworks ⇄ Namely sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Linnworks and Namely.
How the Linnworks and Namely connectors work
Linnworks
- Integration surface
- REST API
- Authentication
- Application credentials and an install token exchanged for a session token
- Change detection
- Polling on order and stock endpoints
- Capabilities
- read · write
- Rate limits
- Per-endpoint rate limits apply on the Linnworks API
Namely
- Integration surface
- REST API (JSON over HTTPS)
- Authentication
- OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1
- Change detection
- No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes
- Capabilities
- read · write
- Rate limits
- Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
How it works
How to connect Linnworks to Namely — three steps, no code
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.
- 01
Connect your apps
Authenticate Linnworks and Namely with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Linnworks
connected
Namely
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Linnworks and Namely 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.
objects · Linnworks ⇄ NamelyCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Linnworks NamelyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Linnworks and Namely integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Linnworks and Namely: authenticate both systems, choose the objects to sync (such as Linnworks's Processed Orders and Stock Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Linnworks and Namely connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Linnworks–Namely integration in-house.
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Yes — Stacksync ships production-grade connectors for both Linnworks and Namely. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Linnworks: Polling on order and stock endpoints. On Namely: No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Linnworks side: Stock Levels, Locations, Purchase Orders, Suppliers, plus custom fields where Linnworks exposes them. On the Namely side: Events, Profiles, Job Titles, Job Tiers. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
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