Azure OpenAI to Infor M3 integration — real-time data sync

Azure OpenAI is a read-only source: Stacksync reads its data in real time and delivers it into Infor M3, so Infor M3 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. Infor M3 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 Infor M3 where the business is run.

Stacksync connects Usage and quota, Assistants, Vector stores, Deployments in Azure OpenAI with Manufacturing Orders, Inventory Balances, Invoices, Warehouses in Infor M3 and keeps the two sides in sync in real time. Manufacturing Orders, Inventory Balances, Invoices, Warehouses from Infor M3 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 Infor M3. 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.