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ERP ⇄ AI

Infor M3 to Pinecone integration — real-time, two-way sync

Keep Infor M3 and Pinecone 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 Infor M3 and Pinecone

Ground Pinecone on the customers, suppliers, items, and transactions that live in Infor M3, and write the classifications, scores, and extracted fields Pinecone produces back onto those records in real time.

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 Pinecone 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 Namespaces, Collections, Backups, Index statistics in Pinecone 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 Pinecone continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Pinecone 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. Pinecone 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 Keep a Pinecone index aligned with a source of truth (a product catalog, knowledge base, or CRM) so new, changed, and deleted records upsert and delete the matching vectors.
  • 02 Two-way sync vector metadata between Pinecone and an operational database so filters and tags stay aligned on both sides.
  • 03 Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains
  • 04 Keep supplier and purchase order data aligned between M3 and procurement tools

Common sync patterns

Continuous freshness, no reload

As records are created or corrected in Infor M3, the copy held in Pinecone 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 Infor M3 maps to the corresponding entry in Pinecone, so every AI result attaches to the right entity on both sides.

Document extraction round-trip

Purchase orders, invoices, or other documents flow from Infor M3 into Pinecone for parsing or classification, and the structured result returns to the record it came from.

What you can sync between Infor M3 and Pinecone

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.

Infor M3 objects Pinecone objects How this pairing syncs
Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. Indexes Serverless or pod-based containers holding vectors of a fixed dimension and distance metric (cosine, dotproduct, euclidean); managed on the control plane (api.pinecone.io) via create, list, describe, configure, and delete. describe_index returns the per-index data-plane host. Inventory Balances is specific to Infor M3 and Indexes to Pinecone — each maps to any object or custom field on the other side.
Invoices Billing documents flow to finance and CRM tools for AR visibility. Vectors (records) The core data: an id (up to 512 chars), a dense values array, optional sparse_values, and JSON metadata (up to 40 KB filterable per record). Full CRUD on the data plane via upsert, update, fetch, query, and delete, so write is supported here. Invoices is specific to Infor M3 and Vectors (records) to Pinecone — each maps to any object or custom field on the other side.
Warehouses Warehouse and facility records scope inventory and order data during mapping. Namespaces Partitions inside an index; every read and write targets one namespace and vectors across namespaces are isolated. Enumerated with list_namespaces and sized per namespace via describe_index_stats. Warehouses is specific to Infor M3 and Namespaces to Pinecone — each maps to any object or custom field on the other side.
Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. Collections Immutable snapshots of a pod-based index that store its data but not its definition; created, listed, and deleted on the control plane and used to recreate a pod-based index. Serverless indexes use Backups instead. Price Lists is specific to Infor M3 and Collections to Pinecone — each maps to any object or custom field on the other side.
Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. Backups Point-in-time snapshots of a serverless index; created, listed, and restored into a new index on the control plane for recovery or cloning. Read as a recovery-asset inventory. Items is specific to Infor M3 and Backups to Pinecone — each maps to any object or custom field on the other side.
Customers Customer master records sync with CRM account records to keep one shared customer file. Index statistics Describe_index_stats returns total and per-namespace vector counts, the index dimension, and index fullness; read to size a sync and to detect drift between Pinecone and the source of truth. Customers is specific to Infor M3 and Index statistics to Pinecone — each maps to any object or custom field on the other side.

How changes propagate between Infor M3 and Pinecone

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.

Infor M3 Pinecone Sub-second propagation

DetectionInfor M3 notifies Stacksync of record changes through webhook events. Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints.

DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.

Pinecone Infor M3 Interval-based propagation

DetectionStacksync polls Pinecone for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks and no native change-data-capture feed.

DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Infor M3: Subject to Infor ION API gateway throttling policies.
  • Pinecone: Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.
What ships with Infor M3 ⇄ Pinecone

Connect Infor M3 and Pinecone for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Pinecone connection.

Real-time

Two-way sync

Changes in Infor M3 or Pinecone instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Infor M3 or Pinecone 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 Infor M3 or Pinecone record.

Observability

Monitoring

Track your Infor M3 ⇄ Pinecone sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Infor M3 and Pinecone.

How the Infor M3 and Pinecone connectors work

Infor M3

Integration surface
REST API (M3 API programs exposed through the Infor ION API gateway)
Authentication
OAuth 2.0 via Infor OS / ION API authorization
Change detection
Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
Capabilities
read · write · webhooks
Rate limits
Subject to Infor ION API gateway throttling policies

Pinecone

Integration surface
Two HTTP APIs: a control plane at api.pinecone.io (manage indexes, collections, backups, and, via the Admin API, projects and API keys) and a per-index data plane at the host returned by describe_index (upsert, query, fetch, update, delete, list). A gRPC data-plane transport is available through the official SDKs.
Authentication
API key in the Api-Key request header, scoped to one project; every request also sends an X-Pinecone-Api-Version header (date-based, e.g. 2025-10). The organization Admin API instead uses OAuth2 client-credentials (service accounts) via login.pinecone.io/oauth/token, passing a Bearer token to api.pinecone.io/admin (Enterprise).
Change detection
No webhooks and no native change-data-capture feed. Vectors carry no server-side update timestamp, so Stacksync detects changes by re-reading - paginating vector ids with the list operation (serverless indexes) and fetching by id, or by re-upserting from the source of truth. describe_index_stats bounds a resync with per-namespace counts.
Capabilities
read · write
Rate limits
Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.
How it works

How to connect Infor M3 to Pinecone — 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.

  1. 01

    Connect your apps

    Authenticate Infor M3 and Pinecone with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Infor M3 connected
    Pinecone connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Infor M3 and Pinecone 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Infor M3 ⇄ Pinecone
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Infor M3 Pinecone
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Infor M3 and Pinecone integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 478 integrations available for Infor M3 and Pinecone.

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