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AI ⇄ ERP

Azure OpenAI to Infor WMS integration — real-time data sync

Keep Azure OpenAI and Infor WMS 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 Azure OpenAI and Infor WMS

Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Infor WMS, and write the classifications, scores, and extracted fields Azure OpenAI produces back onto those records in real time.

Azure OpenAI is a read-only source: Stacksync reads its data in real time and delivers it into Infor WMS, so Infor WMS always reflects the current state of Azure OpenAI — without exports, scripts, or schedulers.

An AI system does not keep customers, orders, or invoices the way an ERP does. What it keeps is derived: the vectors and metadata in a store, or the classifications, extracted fields, and generated text a model produces over records it was handed. Infor WMS is where those source records actually live, across finance, operations, procurement, and inventory, and that data usually stays behind a strict API with many record types. Whatever Azure OpenAI produces, whether a category, a risk flag, an extracted value, or an embedding, only earns its keep when it lands back on the record in Infor WMS where the business is run.

Stacksync connects Batch jobs, Usage and quota, Assistants, Vector stores in Azure OpenAI with Items, Inventory, Receipts / ASNs, Shipment Orders in Infor WMS and keeps the two sides in sync in real time. Items, Inventory, Receipts / ASNs, Shipment Orders from Infor WMS replicate into Azure OpenAI continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Azure OpenAI generates sync back onto the matching record in Infor WMS. Mapping is field-level, matching is on identifiers you choose, and Stacksync handles the ERP's API limits and schema drift, so there is no extraction pipeline to build or babysit.

Because every AI-side item carries the key of the record it came from, results always resolve to the right customer, supplier, or transaction. Azure OpenAI reasons over the business as it actually is within seconds of a change, and the people running operations act on model output where they already work, without exporting a file or logging into a second system.

Common use cases

  • 01 Poll Batch jobs into an operational database and fire the next pipeline step when a job's status turns to completed.
  • 02 Pull per-deployment TPM/RPM usage into a warehouse for FinOps chargeback and quota-exhaustion alerting.
  • 03 Push sales orders from an ERP into the WMS for wave planning and picking, then return status updates
  • 04 Send shipment confirmations and tracking numbers back to the order system when the WMS ships

Common sync patterns

ERP records as live context

Customers, suppliers, items, and transactions from Infor WMS replicate into Azure OpenAI as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.

Derived fields back on the record

Categories, scores, or extracted values produced in Azure OpenAI sync onto the matching record in Infor WMS, where operations and finance teams see and act on them without leaving the ERP.

Continuous freshness, no reload

As records are created or corrected in Infor WMS, the copy held in Azure OpenAI updates within seconds, so the model side never reasons over stale ERP data.

What you can sync between Azure OpenAI and Infor WMS

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.

Azure OpenAI objects Infor WMS objects How this pairing syncs
Usage and quota Per-deployment TPM/RPM consumption and remaining quota, read from usage endpoints and Azure Monitor for cost and throttling reporting. Waves Wave assignments group orders for fulfillment and can be reported outward. Usage and quota is specific to Azure OpenAI and Waves to Infor WMS — each maps to any object or custom field on the other side.
Assistants Persistent assistants (preview) with instructions, tools, and linked files; read as configuration inventory, not authored via sync. Tasks Warehouse task data supports labor and productivity reporting in BI tools. Assistants is specific to Azure OpenAI and Tasks to Infor WMS — each maps to any object or custom field on the other side.
Vector stores File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status. Locations Bin and zone definitions scope inventory records during mapping. Vector stores is specific to Azure OpenAI and Locations to Infor WMS — each maps to any object or custom field on the other side.
Deployments Named model deployments (model, version, SKU, assigned TPM capacity) read as a control-plane inventory via Azure Resource Manager; read-only in sync. Shipments Ship confirmations and tracking references flow back to the order source system. Deployments is specific to Azure OpenAI and Shipments to Infor WMS — each maps to any object or custom field on the other side.
Models Catalog of base and fine-tunable models available per region; read-only reference data used to resolve deployment and fine-tuning targets. Appointments Dock appointment data coordinates carriers and yard operations with external schedules. Models is specific to Azure OpenAI and Appointments to Infor WMS — each maps to any object or custom field on the other side.
Fine-tuning jobs Training jobs with status, base model, hyperparameters, and result files; status is polled from queued through succeeded or failed. Items Item definitions keep the WMS aligned with the ERP or OMS item master. Fine-tuning jobs is specific to Azure OpenAI and Items to Infor WMS — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Infor WMS

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.

Azure OpenAI Infor WMS Interval-based propagation

DetectionStacksync polls Azure OpenAI for changes on an incremental schedule, reading only records changed since the previous pass. Polling: list endpoints plus GET on job IDs for status.

DeliveryEach detected change is written to Infor WMS through its API, with automatic retries and rate-limit backoff.

Infor WMS Azure OpenAI Sub-second propagation

DetectionInfor WMS notifies Stacksync of record changes through webhook events. ION event publishing or scheduled polling of API endpoints.

DeliveryAzure OpenAI does not accept inbound record writes, so this direction carries requests rather than records: Azure OpenAI's output flows back as field updates on the originating Infor WMS records.

Rate-limit considerations

  • Azure OpenAI: Per-deployment TPM and RPM limits (about 6 RPM per 1000 TPM), scoped by region and subscription; control-plane ARM calls throttle separately.
  • Infor WMS: Subject to Infor ION API gateway throttling policies.
What ships with Azure OpenAI ⇄ Infor WMS

Connect Azure OpenAI and Infor WMS for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Infor WMS connection.

Real-time

Real-time sync

Changes in Azure OpenAI or Infor WMS instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or Infor WMS 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 Azure OpenAI or Infor WMS record.

Observability

Monitoring

Track your Azure OpenAI ⇄ Infor WMS sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure OpenAI and Infor WMS.

How the Azure OpenAI and Infor WMS connectors work

Azure OpenAI

Integration surface
REST data-plane (inference + authoring) and Azure Resource Manager control-plane
Authentication
API key in the api-key header, or a Microsoft Entra ID bearer token / managed identity
Change detection
Polling: list endpoints plus GET on job IDs for status; no webhooks or change feed. Fine-tuning and batch jobs expose queued/running/succeeded states.
Capabilities
read
Rate limits
Per-deployment TPM and RPM limits (about 6 RPM per 1000 TPM), scoped by region and subscription; control-plane ARM calls throttle separately.

Infor WMS

Integration surface
REST API via the Infor OS / ION API gateway (cloud deployments run inside Infor CloudSuite)
Authentication
OAuth 2.0 via Infor OS
Change detection
ION event publishing or scheduled polling of API endpoints
Capabilities
read · write · webhooks
Rate limits
Subject to Infor ION API gateway throttling policies
How it works

How to connect Azure OpenAI to Infor WMS — 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 Azure OpenAI and Infor WMS 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
    Azure OpenAI connected
    Infor WMS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and Infor WMS 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 · Azure OpenAI ⇄ Infor WMS
    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
    Azure OpenAI Infor WMS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure OpenAI and Infor WMS 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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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

Every pair below is a real-time, two-way sync. Search all 365 integrations available for Azure OpenAI and Infor WMS.

Popular · 5 of 365
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