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AI ⇄ ERP

Azure OpenAI to Epicor ERP integration — real-time data sync

Keep Azure OpenAI and Epicor ERP 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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Why teams connect Azure OpenAI and Epicor ERP

Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Epicor ERP, 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 Epicor ERP, so Epicor ERP 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. Epicor ERP 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 Epicor ERP where the business is run.

Stacksync connects Deployments, Models, Fine-tuning jobs, Files in Azure OpenAI with Sales orders, Purchase orders, Jobs, Quotes in Epicor ERP and keeps the two sides in sync in real time. Sales orders, Purchase orders, Jobs, Quotes from Epicor ERP 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 Epicor ERP. 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 won opportunities from the CRM into Epicor as sales orders and sync order status back.
  • 04 Mirror parts, on-hand inventory, and job status into a reporting database for shop-floor dashboards.

Common sync patterns

Derived fields back on the record

Categories, scores, or extracted values produced in Azure OpenAI sync onto the matching record in Epicor ERP, 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 Epicor ERP, the copy held in Azure OpenAI updates within seconds, so the model side never reasons over stale ERP data.

One consistent identity across both systems

A customer, supplier, item, or transaction in Epicor ERP maps to the corresponding entry in Azure OpenAI, so every AI result attaches to the right entity on both sides.

What you can sync between Azure OpenAI and Epicor ERP

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 Epicor ERP objects How this pairing syncs
Fine-tuning jobs Training jobs with status, base model, hyperparameters, and result files; status is polled from queued through succeeded or failed. Jobs Production jobs whose status feeds shop-floor dashboards and delivery-date updates. Fine-tuning jobs is specific to Azure OpenAI and Jobs to Epicor ERP — each maps to any object or custom field on the other side.
Files Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back in sync. Quotes Estimates that pair with CRM opportunities during the sales cycle. Files is specific to Azure OpenAI and Quotes to Epicor ERP — each maps to any object or custom field on the other side.
Batch jobs Asynchronous bulk-inference jobs; status and output-file IDs are polled to completion to drive downstream pipeline triggers. AR invoices Billing records surfaced in CRM or finance tools for collections visibility. Batch jobs is specific to Azure OpenAI and AR invoices to Epicor ERP — each maps to any object or custom field on the other side.
Usage and quota Per-deployment TPM/RPM consumption and remaining quota, read from usage endpoints and Azure Monitor for cost and throttling reporting. Shipments Fulfillment confirmations synced to customer portals and commerce systems. Usage and quota is specific to Azure OpenAI and Shipments to Epicor ERP — 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. Bills of materials Methods of manufacturing read for costing and planning integrations. Assistants is specific to Azure OpenAI and Bills of materials to Epicor ERP — 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. Customers Master records synced with CRM accounts so sales and the ERP agree on ownership and credit status. Vector stores is specific to Azure OpenAI and Customers to Epicor ERP — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Epicor ERP

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

Epicor ERP Azure OpenAI Interval-based propagation

DetectionStacksync polls Epicor ERP for changes on an incremental schedule, reading only records changed since the previous pass. Polling on change-date fields.

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 Epicor ERP 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.
  • Epicor ERP: Subject to the platform's API rate limits and per-tenant throttling on Kinetic cloud deployments.
What ships with Azure OpenAI ⇄ Epicor ERP

Connect Azure OpenAI and Epicor ERP for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or Epicor ERP 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 Epicor ERP record.

Observability

Monitoring

Track your Azure OpenAI ⇄ Epicor ERP 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 Epicor ERP.

How the Azure OpenAI and Epicor ERP 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.

Epicor ERP

Integration surface
REST API (OData) over Epicor business objects, plus BAQ (Business Activity Query) endpoints
Authentication
API key combined with basic or token authentication, depending on version and deployment
Change detection
Polling on change-date fields; outbound calls can be wired through BPM directives, but there is no standard webhook subscription surface
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits and per-tenant throttling on Kinetic cloud deployments
How it works

How to connect Azure OpenAI to Epicor ERP — 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 Epicor ERP 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
    Epicor ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and Epicor ERP 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 ⇄ Epicor ERP
    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 Epicor ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Azure OpenAI and Epicor ERP 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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ISO 27001
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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

Every pair below is a real-time, two-way sync. Search all 483 integrations available for Azure OpenAI and Epicor ERP.

Popular · 7 of 483
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