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ERP ⇄ Marketing

Infor M3 to Iterable integration — real-time, two-way sync

Keep Infor M3 and Iterable in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Infor M3 and Iterable

Feed the real customer, order, and revenue records from Infor M3 into Iterable so campaigns run on who actually bought what, and let contact and consent changes flow back in real time.

Marketing runs on lists of people, but the list rarely knows which of those people are paying customers, what they ordered, or what they are worth. Infor M3 holds exactly that: Customers, Suppliers, Customer Orders, Purchase Orders that record who the customer is, what they bought, and what they owe. When the two are joined only by a periodic export, campaigns go out against stale audiences, existing customers get prospecting emails, high-value accounts look the same as cold leads, and a canceled order still counts toward a segment.

Stacksync syncs Customers, Suppliers, Customer Orders, Purchase Orders in Infor M3 with Users, Events, Campaigns, Templates in Iterable in real time, and where both sides accept writes, in both directions. Customer, order, and invoice data maps field by field onto the contacts, audiences, or accounts Iterable works with, so segmentation and personalization run on current purchase history instead of a month-old snapshot. Contact details and consent changes that originate in Iterable flow back onto the record in Infor M3.

The strongest bridge between the two is identity and purchase history, who the customer is and what they have bought, so that is where most of the value sits. Because the sync is field-level, each system keeps the attributes the other has no use for; only the shared records are held in agreement.

Common use cases

  • 01 Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
  • 02 Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains
  • 03 Push warehouse or CRM audience segments into Iterable as Users via bulkUpdate (up to 1000 per call) and subscribe them to static Lists to drive campaigns.
  • 04 Track product and revenue Events (custom events, trackPurchase, updateCart) into Iterable from an app or database so journeys trigger on live behavior.

Common sync patterns

Purchase history drives segmentation

Orders, invoices, and revenue totals from Infor M3 land on the matching contact or account in Iterable, so audiences are built from what customers actually bought and spent rather than from guesses.

Suppress or target existing customers

Because Infor M3 knows who is already a paying customer, Iterable can exclude them from acquisition campaigns or single them out for renewal and cross-sell.

One customer identity across both systems

A person or company's contact details corrected in either system update the other, so marketing and the back office stop maintaining separate versions of the same record.

What you can sync between Infor M3 and Iterable

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 Iterable objects How this pairing syncs
Warehouses Warehouse and facility records scope inventory and order data during mapping. Events Custom and system events tracked via /api/events/track and /api/events/trackBulk (up to 1000 events per call); a single user's event history is read via GET /api/events/{email}. Warehouses is specific to Infor M3 and Events to Iterable — 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. Campaigns Email, SMS, push, and in-app sends; metadata and metrics read via GET /api/campaigns and /api/campaigns/metrics, created and sent via /api/campaigns/create and /api/campaigns/trigger. Price Lists is specific to Infor M3 and Campaigns to Iterable — each maps to any object or custom field on the other side.
Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. Templates Reusable email/SMS/push/in-app message templates with handlebars fields; read via /api/templates and per-channel get endpoints, written via /api/templates/email/upsert and the other channel upserts. Items is specific to Infor M3 and Templates to Iterable — each maps to any object or custom field on the other side.
Customers Customer master records sync with CRM account records to keep one shared customer file. Lists Static subscriber lists; read via GET /api/lists and /api/lists/getUsers, with users added or removed via /api/lists/subscribe and /api/lists/unsubscribe to control who receives a send. Customers is specific to Infor M3 and Lists to Iterable — each maps to any object or custom field on the other side.
Suppliers Supplier records align procurement tools with the vendors M3 purchases from. Catalogs Named catalogs of items (products, content) used for personalization and recommendations; items upserted and read via /api/catalogs/{catalogName}/items. Suppliers is specific to Infor M3 and Catalogs to Iterable — each maps to any object or custom field on the other side.
Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. Commerce / Purchases Purchase and cart activity tracked via /api/commerce/trackPurchase and /api/commerce/updateCart, feeding revenue attribution and abandoned-cart journeys. Customer Orders is specific to Infor M3 and Commerce / Purchases to Iterable — each maps to any object or custom field on the other side.

How changes propagate between Infor M3 and Iterable

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 Iterable 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 Iterable through its API, with automatic retries and rate-limit backoff.

Iterable Infor M3 Sub-second propagation

DetectionIterable notifies Stacksync of record changes through webhook events. System Webhooks push email/SMS/push/in-app and custom events (send, open, click, bounce, complaint, unsubscribe) as JSON POSTs in near real time.

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.
  • Iterable: Limits are per endpoint and per project/key; exceeding one returns HTTP 429, so exponential backoff is advised. Event tracking allows far higher volume than metadata endpoints like campaigns/templates, and the Export API is throttled more tightly. Since Nov 10, 2025, passing the key in the query string or body is rate-limited more strictly than the Api-Key header.
What ships with Infor M3 ⇄ Iterable

Connect Infor M3 and Iterable for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Iterable connection.

Real-time

Two-way sync

Changes in Infor M3 or Iterable instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Infor M3 or Iterable 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 Iterable record.

Observability

Monitoring

Track your Infor M3 ⇄ Iterable 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 Iterable.

How the Infor M3 and Iterable 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

Iterable

Integration surface
Iterable REST API (JSON over HTTPS): Users, Events, Campaigns, Templates, Lists, Catalogs, and Commerce endpoints, plus a bulk Export API for historical data
Authentication
API key sent in the Api-Key HTTP header (also accepted as Api_Key; the name is case-insensitive). Keys are scoped by type - Server-side, JavaScript (Web SDK), or Mobile - with optional JWT-enabled keys. US projects use api.iterable.com; EU projects use api.eu.iterable.com.
Change detection
System Webhooks push email/SMS/push/in-app and custom events (send, open, click, bounce, complaint, unsubscribe) as JSON POSTs in near real time; historical backfill and incremental catch-up run through the Export API over a date range.
Capabilities
read · write · webhooks
Rate limits
Limits are per endpoint and per project/key; exceeding one returns HTTP 429, so exponential backoff is advised. Event tracking allows far higher volume than metadata endpoints like campaigns/templates, and the Export API is throttled more tightly. Since Nov 10, 2025, passing the key in the query string or body is rate-limited more strictly than the Api-Key header.
How it works

How to connect Infor M3 to Iterable — 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.

  1. 01

    Connect your apps

    Authenticate Infor M3 and Iterable with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Infor M3 connected
    Iterable connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Infor M3 and Iterable 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Infor M3 ⇄ Iterable
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Infor M3 Iterable
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Infor M3 and Iterable integration FAQ

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.

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→ 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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

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