Real-time
Real-time sync
Changes in Azure OpenAI or Cin7 instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ ERP
Azure OpenAI to Cin7 integration — real-time data sync
Keep Azure OpenAI and Cin7 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 Cin7
Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in Cin7, 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 Cin7, so Cin7 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. Cin7 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 Cin7 where the business is run.
Stacksync connects Files, Batch jobs, Usage and quota, Assistants in Azure OpenAI with Stock adjustments and transfers, Credit notes / returns, Products, Inventory levels in Cin7 and keeps the two sides in sync in real time. Stock adjustments and transfers, Credit notes / returns, Products, Inventory levels from Cin7 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 Cin7. 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 Land Fine-tuning jobs with their status, base model, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.
- 02 Poll Batch jobs into an operational database and fire the next pipeline step when a job's status turns to completed.
- 03 Publish Cin7 inventory levels to storefronts, marketplaces, and a CRM so every channel quotes real availability.
- 04 Sync sales orders from Cin7 into an accounting platform or warehouse for revenue and margin reporting.
Common sync patterns
ERP records as live context
Customers, suppliers, items, and transactions from Cin7 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 Cin7, 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 Cin7, 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 Cin7
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 | Cin7 objects | How this pairing syncs | |
|---|---|---|---|
| Vector stores File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status. | Purchase orders Supplier orders synced with procurement and accounting workflows. | Vector stores is specific to Azure OpenAI and Purchase orders to Cin7 — 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. | Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | Deployments is specific to Azure OpenAI and Contacts to Cin7 — 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. | Branches / locations Warehouse entities that scope every stock movement and order allocation. | Models is specific to Azure OpenAI and Branches / locations to Cin7 — 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. | Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. | Fine-tuning jobs is specific to Azure OpenAI and Stock adjustments and transfers to Cin7 — 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. | Credit notes / returns Return documents synced so finance and support see the same refund state. | Files is specific to Azure OpenAI and Credit notes / returns to Cin7 — 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. | Products SKU records with options and pricing, synced with storefront and marketplace catalogs. | Batch jobs is specific to Azure OpenAI and Products to Cin7 — each maps to any object or custom field on the other side. |
How changes propagate between Azure OpenAI and Cin7
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 Cin7 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 Cin7 through its API, with automatic retries and rate-limit backoff.
Cin7 Azure OpenAI Sub-second propagation
DetectionCin7 notifies Stacksync of record changes through webhook events. Polling on modified-date filters.
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 Cin7 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.
- Cin7: Subject to per-account API rate limits that differ between Cin7 Omni and Cin7 Core.
What ships with Azure OpenAI ⇄ Cin7
Connect Azure OpenAI and Cin7 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–Cin7 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure OpenAI or Cin7 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 Cin7 record.
Observability
Monitoring
Track your Azure OpenAI ⇄ Cin7 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 Cin7.
How the Azure OpenAI and Cin7 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.
Cin7
- Integration surface
- REST API; note that Cin7 Omni and Cin7 Core (formerly DEAR Systems) are separate products with separate APIs
- Authentication
- API key credentials (paired with a username or account ID, depending on the product)
- Change detection
- Polling on modified-date filters; webhook support exists on some editions for order and stock events
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account API rate limits that differ between Cin7 Omni and Cin7 Core
How it works
How to connect Azure OpenAI to Cin7 — 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 Cin7 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
Cin7
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure OpenAI and Cin7 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 ⇄ Cin7Customers 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 Cin7Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure OpenAI and Cin7 integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Azure OpenAI and Cin7 — 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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Azure OpenAI is a read-only source, so this integration runs one-way: Stacksync reads from Azure OpenAI in real time and delivers into Cin7. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Azure OpenAI and Cin7: ERP records as live context; Derived fields back on the record; Continuous freshness, no reload. Customers, suppliers, items, and transactions from Cin7 replicate into Azure OpenAI as they change, so search, retrieval, and reasoning run against current records rather than a periodic extract.
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Azure OpenAI: 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. Cin7: REST API; note that Cin7 Omni and Cin7 Core (formerly DEAR Systems) are separate products with separate APIs. Authentication: API key credentials (paired with a username or account ID, depending on the product). Stacksync manages authentication, retries, and rate limits on both sides.
-
Azure OpenAI: Data-plane inference is governed by per-deployment tokens-per-minute (TPM) and requests-per-minute (RPM) limits, with RPM set at roughly 6 per 1000 TPM. Cin7: Order objects carry channel context (POS, B2B, e-commerce), which downstream reporting syncs typically preserve for channel-level margin analysis. Stacksync's field mapping accounts for these differences between Azure OpenAI and Cin7 without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure OpenAI and Cin7 records are not retained after a sync operation.
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:
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