Real-time
Two-way sync
Changes in Infor M3 or Namely instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Human resources
Infor M3 to Namely integration — real-time, two-way sync
Keep Infor M3 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 Infor M3 and Namely
Sync the workers, org structure, and cost centers that Infor M3 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. Infor M3 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 Customers, Suppliers, Customer Orders, Purchase Orders in Infor M3 with Profiles, Job Titles, Job Tiers, Groups 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 Infor M3 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 Push orders captured in a CRM into M3 as customer orders without manual re-entry
- 02 Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
- 03 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.
- 04 Map Job Titles and Job Tiers into a warehouse dimension table so leveling and seniority stay consistent across HR, finance, and BI reporting.
Common sync patterns
Reporting lines drive approvals
Manager and reporting-hierarchy changes in Namely keep expense and purchase approval chains in Infor M3 pointed at the right people.
Where Namely runs payroll: labor cost in the books
Pay and compensation data from Namely posts into Infor M3 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 Infor M3 is created, updated, or deactivated, so the business system reflects the workforce as it actually is.
What you can sync between Infor M3 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.
| Infor M3 objects | Namely objects | How this pairing syncs | |
|---|---|---|---|
| Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. | Purchase Orders is specific to Infor M3 and Events to Namely — each maps to any object or custom field on the other side. | |
| Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. | Manufacturing Orders is specific to Infor M3 and Profiles to Namely — each maps to any object or custom field on the other side. | |
| Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. | Inventory Balances is specific to Infor M3 and Job Titles to Namely — each maps to any object or custom field on the other side. | |
| Invoices Billing documents flow to finance and CRM tools for AR visibility. | Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Invoices is specific to Infor M3 and Job Tiers to Namely — each maps to any object or custom field on the other side. | |
| Warehouses Warehouse and facility records scope inventory and order data during mapping. | Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. | Warehouses is specific to Infor M3 and Groups to Namely — each maps to any object or custom field on the other side. | |
| Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. | Price Lists is specific to Infor M3 and Teams to Namely — each maps to any object or custom field on the other side. |
How changes propagate between Infor M3 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.
Infor M3 Namely Sub-second propagation
DetectionInfor M3 notifies Stacksync of record changes through webhook events. Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints.
DeliveryEach detected change is written to Namely through its API, with automatic retries and rate-limit backoff.
Namely Infor M3 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 Infor M3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Infor M3: Subject to Infor ION API gateway throttling policies.
- 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 Infor M3 ⇄ Namely
Connect Infor M3 and Namely for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Namely connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 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 Infor M3 or Namely record.
Observability
Monitoring
Track your Infor M3 ⇄ Namely sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Infor M3 and Namely.
How the Infor M3 and Namely connectors work
Infor M3
- Integration surface
- REST API (M3 API programs exposed through the Infor ION API gateway)
- Authentication
- OAuth 2.0 via Infor OS / ION API authorization
- Change detection
- Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to Infor ION API gateway throttling policies
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 Infor M3 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 Infor M3 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.
Infor M3
connected
Namely
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 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 · Infor M3 ⇄ 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.
Infor M3 NamelyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and Namely integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and Namely: authenticate both systems, choose the objects to sync (such as Infor M3's Purchase Orders and Manufacturing Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Infor M3 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 Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API 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 Infor M3 side: Customers, Suppliers, Customer Orders, Purchase Orders, plus custom fields where Infor M3 exposes them. On the Namely side: Profiles, Job Titles, Job Tiers, Groups. 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.
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Common patterns for Infor M3 and Namely: Reporting lines drive approvals; Where Namely runs payroll: labor cost in the books; Where Namely is the worker system of record: one employee master. Manager and reporting-hierarchy changes in Namely keep expense and purchase approval chains in Infor M3 pointed at the right people.
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:
Related integrations
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Namely ⇄ Microsoft Dynamics GP
No integrations match .
