Real-time
Real-time sync
Changes in Azure OpenAI or Brightpearl instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ ERP
Azure OpenAI to Brightpearl integration — real-time data sync
Keep Azure OpenAI and Brightpearl 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 Brightpearl
Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Brightpearl, 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 Brightpearl, so Brightpearl 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. Brightpearl 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 Brightpearl where the business is run.
Stacksync connects Assistants, Vector stores, Deployments, Models in Azure OpenAI with Invoices and payments, Custom fields, Products, Sales orders in Brightpearl and keeps the two sides in sync in real time. Invoices and payments, Custom fields, Products, Sales orders from Brightpearl 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 Brightpearl. 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 Mirror Assistants and Vector stores configuration into a database as an auditable inventory of retrieval assets and their linked files.
- 02 Sync the Deployments inventory (model, version, TPM capacity) into Postgres so platform teams track every Azure OpenAI deployment across subscriptions in SQL.
- 03 Land order and margin data in a warehouse for retail performance reporting.
- 04 Sync Brightpearl sales orders and fulfillment status with a CRM so sales and support see order state without switching tools.
Common sync patterns
Continuous freshness, no reload
As records are created or corrected in Brightpearl, 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 Brightpearl maps to the corresponding entry in Azure OpenAI, so every AI result attaches to the right entity on both sides.
Document extraction round-trip
Purchase orders, invoices, or other documents flow from Brightpearl into Azure OpenAI for parsing or classification, and the structured result returns to the record it came from.
What you can sync between Azure OpenAI and Brightpearl
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 | Brightpearl objects | How this pairing syncs | |
|---|---|---|---|
| Files Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back in sync. | Goods-out notes Fulfillment documents that carry picking and shipping status back to order sources. | Files is specific to Azure OpenAI and Goods-out notes to Brightpearl — 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. | Invoices and payments Financial documents synced to accounting platforms for reconciliation. | Batch jobs is specific to Azure OpenAI and Invoices and payments to Brightpearl — 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. | Custom fields Per-object custom attributes included in field mappings. | Usage and quota is specific to Azure OpenAI and Custom fields to Brightpearl — 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. | Products SKU records with variants and price lists, synced with e-commerce and ERP catalogs. | Assistants is specific to Azure OpenAI and Products to Brightpearl — 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. | Sales orders Orders from all channels; the central object for fulfillment and revenue syncs. | Vector stores is specific to Azure OpenAI and Sales orders to Brightpearl — 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. | Purchase orders Supplier orders synced with procurement or accounting systems. | Deployments is specific to Azure OpenAI and Purchase orders to Brightpearl — each maps to any object or custom field on the other side. |
How changes propagate between Azure OpenAI and Brightpearl
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 Brightpearl 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 Brightpearl through its API, with automatic retries and rate-limit backoff.
Brightpearl Azure OpenAI Sub-second propagation
DetectionBrightpearl notifies Stacksync of record changes through webhook events. Webhooks for object created/updated events, with resource search polling as a fallback.
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 Brightpearl 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.
- Brightpearl: Requests are throttled per account under Brightpearl's API usage policies; bulk operations should use batch endpoints.
What ships with Azure OpenAI ⇄ Brightpearl
Connect Azure OpenAI and Brightpearl for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Brightpearl connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure OpenAI or Brightpearl 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 Brightpearl record.
Observability
Monitoring
Track your Azure OpenAI ⇄ Brightpearl 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 Brightpearl.
How the Azure OpenAI and Brightpearl 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.
Brightpearl
- Integration surface
- REST API, organized into services (order, product, contact, warehouse, accounting)
- Authentication
- OAuth 2.0 (authorization code grant) for current apps; legacy private and public apps authenticate with app reference and account token headers
- Change detection
- Webhooks for object created/updated events, with resource search polling as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Requests are throttled per account under Brightpearl's API usage policies; bulk operations should use batch endpoints
How it works
How to connect Azure OpenAI to Brightpearl — 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 Azure OpenAI and Brightpearl with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure OpenAI
connected
Brightpearl
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure OpenAI and Brightpearl 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 · Azure OpenAI ⇄ BrightpearlCustomers 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.
Azure OpenAI BrightpearlCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure OpenAI and Brightpearl integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Azure OpenAI and Brightpearl — 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.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure OpenAI and Brightpearl connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure OpenAI–Brightpearl integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure OpenAI and Brightpearl. 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 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. On Brightpearl: Webhooks for object created/updated events, with resource search polling as a fallback. 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 Azure OpenAI side: Assistants, Vector stores, Deployments, Models, plus custom fields where Azure OpenAI exposes them. On the Brightpearl side: Invoices and payments, Custom fields, Products, Sales orders. Stacksync auto-detects both schemas and converts types between the two systems.
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Azure OpenAI is a read-only source, so this integration runs one-way: Stacksync reads from Azure OpenAI in real time and delivers into Brightpearl. Field mapping and monitoring work the same as for two-way pairs.
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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