Real-time
Real-time sync
Changes in Azure OpenAI or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ ERP
Azure OpenAI to DEAR Inventory integration — real-time data sync
Keep Azure OpenAI and DEAR Inventory 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 DEAR Inventory
Ground Azure OpenAI on the customers, suppliers, items, and transactions that live in DEAR Inventory, 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 DEAR Inventory, so DEAR Inventory 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. DEAR Inventory 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 DEAR Inventory where the business is run.
Stacksync connects Models, Fine-tuning jobs, Files, Batch jobs in Azure OpenAI with Products, Stock levels, Sale orders, Purchase orders in DEAR Inventory and keeps the two sides in sync in real time. Products, Stock levels, Sale orders, Purchase orders from DEAR Inventory 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 DEAR Inventory. 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 Sync the Deployments inventory (model, version, TPM capacity) into Postgres so platform teams track every Azure OpenAI deployment across subscriptions in SQL.
- 02 Land Fine-tuning jobs with their status, base model, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.
- 03 Land orders, costs, and inventory movements in a warehouse for margin and stock-turn reporting.
- 04 Keep supplier and purchase order data aligned with the accounting system for accrual accuracy.
Common sync patterns
Continuous freshness, no reload
As records are created or corrected in DEAR Inventory, 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 DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory
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 | DEAR Inventory 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. | Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | Files is specific to Azure OpenAI and Assemblies / Production to DEAR Inventory — 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. | Locations Warehouses and bins that scope stock levels and fulfillment. | Batch jobs is specific to Azure OpenAI and Locations to DEAR Inventory — 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. | Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Usage and quota is specific to Azure OpenAI and Products to DEAR Inventory — 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. | Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | Assistants is specific to Azure OpenAI and Stock levels to DEAR Inventory — 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. | Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Vector stores is specific to Azure OpenAI and Sale orders to DEAR Inventory — 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 and receiving records synced with accounting and planning tools. | Deployments is specific to Azure OpenAI and Purchase orders to DEAR Inventory — each maps to any object or custom field on the other side. |
How changes propagate between Azure OpenAI and DEAR Inventory
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 DEAR Inventory 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 DEAR Inventory through its API, with automatic retries and rate-limit backoff.
DEAR Inventory Azure OpenAI Sub-second propagation
DetectionDEAR Inventory notifies Stacksync of record changes through webhook events. Polling with modified-since 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 DEAR Inventory 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.
- DEAR Inventory: Subject to the platform's per-account API rate limits.
What ships with Azure OpenAI ⇄ DEAR Inventory
Connect Azure OpenAI and DEAR Inventory for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–DEAR Inventory connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure OpenAI or DEAR Inventory 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 DEAR Inventory record.
Observability
Monitoring
Track your Azure OpenAI ⇄ DEAR Inventory 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 DEAR Inventory.
How the Azure OpenAI and DEAR Inventory 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.
DEAR Inventory
- Integration surface
- REST API
- Authentication
- Account ID plus application key sent as request headers
- Change detection
- Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's per-account API rate limits
How it works
How to connect Azure OpenAI to DEAR Inventory — 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 DEAR Inventory 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
DEAR Inventory
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure OpenAI and DEAR Inventory 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 ⇄ DEAR InventoryCustomers 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 DEAR InventoryCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure OpenAI and DEAR Inventory integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Azure OpenAI and DEAR Inventory — 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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On the Azure OpenAI side: Models, Fine-tuning jobs, Files, Batch jobs, plus custom fields where Azure OpenAI exposes them. On the DEAR Inventory side: Products, Stock levels, Sale orders, Purchase 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 DEAR Inventory. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Azure OpenAI and DEAR Inventory: Continuous freshness, no reload; One consistent identity across both systems; Document extraction round-trip. As records are created or corrected in DEAR Inventory, the copy held in Azure OpenAI updates within seconds, so the model side never reasons over stale ERP data.
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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. DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Stacksync manages authentication, retries, and rate limits on both sides.
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Azure OpenAI: Azure OpenAI has no webhook or change-notification mechanism; long-running fine-tuning and batch jobs are tracked by polling their job status. DEAR Inventory: DEAR Systems was acquired by Cin7 and the product now operates as Cin7 Core; the API and data model carried over from DEAR. Stacksync's field mapping accounts for these differences between Azure OpenAI and DEAR Inventory without custom code.
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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Azure OpenAI ⇄ Dynamics 365 F&O -
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