Real-time sync
Changes in Acumatica or Azure OpenAI instantly reflect in both systems. No stale data, no manual imports.
Keep Acumatica and Azure OpenAI in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Azure OpenAI is a read-only source: Stacksync reads its data in real time and delivers it into Acumatica, so Acumatica 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. Acumatica 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 Acumatica where the business is run.
Stacksync connects Fine-tuning jobs, Files, Batch jobs, Usage and quota in Azure OpenAI with Sales Orders, Invoices, Purchase Orders, Stock Items in Acumatica and keeps the two sides in sync in real time. Sales Orders, Invoices, Purchase Orders, Stock Items from Acumatica 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 Acumatica. 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.
A customer, supplier, item, or transaction in Acumatica maps to the corresponding entry in Azure OpenAI, so every AI result attaches to the right entity on both sides.
Purchase orders, invoices, or other documents flow from Acumatica into Azure OpenAI for parsing or classification, and the structured result returns to the record it came from.
Customers, suppliers, items, and transactions from Acumatica replicate into Azure OpenAI as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.
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.
| Acumatica objects | Azure OpenAI objects | How this pairing syncs | |
|---|---|---|---|
| Invoices AR and AP billing documents synced for payment tracking and CRM visibility. | Usage and quota Per-deployment TPM/RPM consumption and remaining quota, read from usage endpoints and Azure Monitor for cost and throttling reporting. | Invoices is specific to Acumatica and Usage and quota to Azure OpenAI — each maps to any object or custom field on the other side. | |
| Purchase Orders Procurement documents exchanged with supplier-facing systems. | Assistants Persistent assistants (preview) with instructions, tools, and linked files; read as configuration inventory, not authored via sync. | Purchase Orders is specific to Acumatica and Assistants to Azure OpenAI — each maps to any object or custom field on the other side. | |
| Stock Items Inventory master data with quantities shared with external sales channels. | Vector stores File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status. | Stock Items is specific to Acumatica and Vector stores to Azure OpenAI — each maps to any object or custom field on the other side. | |
| Shipments Fulfillment documents read to update tracking in storefronts and CRMs. | 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 is specific to Acumatica and Deployments to Azure OpenAI — each maps to any object or custom field on the other side. | |
| Payments Customer payment records reconciled against invoices from payment platforms. | Models Catalog of base and fine-tunable models available per region; read-only reference data used to resolve deployment and fine-tuning targets. | Payments is specific to Acumatica and Models to Azure OpenAI — each maps to any object or custom field on the other side. | |
| Journal Transactions GL entries replicated into reporting databases. | Fine-tuning jobs Training jobs with status, base model, hyperparameters, and result files; status is polled from queued through succeeded or failed. | Journal Transactions is specific to Acumatica and Fine-tuning jobs to Azure OpenAI — each maps to any object or custom field on the other side. |
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.
DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime 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 Acumatica records.
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 Acumatica through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–Azure OpenAI connection.
Changes in Acumatica or Azure OpenAI instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Acumatica or Azure OpenAI data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Acumatica or Azure OpenAI record.
Track your Acumatica ⇄ Azure OpenAI sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Acumatica and Azure OpenAI.
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.
Authenticate Acumatica and Azure OpenAI with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Acumatica and Azure OpenAI 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Acumatica and Azure OpenAI — Azure OpenAI is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Acumatica and Azure OpenAI. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Acumatica: Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields. On Azure OpenAI: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure OpenAI side: Fine-tuning jobs, Files, Batch jobs, Usage and quota, plus custom fields where Azure OpenAI exposes them. On the Acumatica side: Sales Orders, Invoices, Purchase Orders, Stock Items. Stacksync auto-detects both schemas and converts types between the two systems.
Azure OpenAI is a read-only source, so this integration runs one-way: Stacksync reads from Azure OpenAI in real time and delivers into Acumatica. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Acumatica and Azure OpenAI: One consistent identity across both systems; Document extraction round-trip; ERP records as live context. A customer, supplier, item, or transaction in Acumatica maps to the corresponding entry in Azure OpenAI, so every AI result attaches to the right entity on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 489 integrations available for Acumatica and Azure OpenAI.