Real-time
Two-way sync
Changes in Infor WMS or Pinecone instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ AI
Infor WMS to Pinecone integration — real-time, two-way sync
Keep Infor WMS 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.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Infor WMS and Pinecone
Ground Pinecone on the customers, suppliers, items, and transactions that live in Infor WMS, 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 WMS 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 WMS where the business is run.
Stacksync connects Index statistics, Indexes, Vectors (records), Namespaces in Pinecone with Locations, Shipments, Appointments, Items in Infor WMS and keeps the two sides in sync in real time. Locations, Shipments, Appointments, Items from Infor WMS 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 WMS. 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 Two-way sync vector metadata between Pinecone and an operational database so filters and tags stay aligned on both sides.
- 02 Read an index's vectors and per-namespace statistics into a warehouse for auditing what is stored, sizing cost, and detecting drift from the source data.
- 03 Push sales orders from an ERP into the WMS for wave planning and picking, then return status updates
- 04 Send shipment confirmations and tracking numbers back to the order system when the WMS ships
Common sync patterns
ERP records as live context
Customers, suppliers, items, and transactions from Infor WMS replicate into Pinecone 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 Pinecone sync onto the matching record in Infor WMS, 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 Infor WMS, the copy held in Pinecone updates within seconds, so the model side never reasons over stale ERP data.
What you can sync between Infor WMS 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 WMS objects | Pinecone objects | How this pairing syncs | |
|---|---|---|---|
| Locations Bin and zone definitions scope inventory records during mapping. | 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. | Locations is specific to Infor WMS and Vectors (records) to Pinecone — each maps to any object or custom field on the other side. | |
| Shipments Ship confirmations and tracking references flow back to the order source system. | 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. | Shipments is specific to Infor WMS and Namespaces to Pinecone — each maps to any object or custom field on the other side. | |
| Appointments Dock appointment data coordinates carriers and yard operations with external schedules. | 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. | Appointments is specific to Infor WMS and Collections to Pinecone — each maps to any object or custom field on the other side. | |
| Items Item definitions keep the WMS aligned with the ERP or OMS item master. | 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 WMS and Backups to Pinecone — each maps to any object or custom field on the other side. | |
| Inventory On-hand quantities by location feed available-to-promise in order-taking systems. | 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. | Inventory is specific to Infor WMS and Index statistics to Pinecone — each maps to any object or custom field on the other side. | |
| Receipts / ASNs Advance shipment notices and receipt confirmations sync with procurement systems. | 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. | Receipts / ASNs is specific to Infor WMS and Indexes to Pinecone — each maps to any object or custom field on the other side. |
How changes propagate between Infor WMS 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 WMS Pinecone Sub-second propagation
DetectionInfor WMS notifies Stacksync of record changes through webhook events. ION event publishing 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 WMS 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 WMS through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Infor WMS: 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 WMS ⇄ Pinecone
Connect Infor WMS and Pinecone for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor WMS–Pinecone connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor WMS 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 WMS or Pinecone record.
Observability
Monitoring
Track your Infor WMS ⇄ 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 WMS and Pinecone.
How the Infor WMS and Pinecone connectors work
Infor WMS
- Integration surface
- REST API via the Infor OS / ION API gateway (cloud deployments run inside Infor CloudSuite)
- Authentication
- OAuth 2.0 via Infor OS
- Change detection
- ION event publishing 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 WMS 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.
- 01
Connect your apps
Authenticate Infor WMS 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.
Infor WMS
connected
Pinecone
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor WMS 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.
objects · Infor WMS ⇄ PineconeCustomers 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.
Infor WMS PineconeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor WMS and Pinecone integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Infor WMS and Pinecone: authenticate both systems, choose the objects to sync (such as Infor WMS's Locations and Shipments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Pinecone: Hard request limits: an upsert is capped at 2 MB or 1000 records, filterable metadata at 40 KB per record, dense vectors at up to 20,000 dimensions, and query top_k at up to 10,000 with a 4 MB result cap. Infor WMS: Cloud deployments of Infor WMS are delivered as part of Infor CloudSuite, so integration typically goes through the shared Infor OS / ION layer rather than a standalone product API. Stacksync's field mapping accounts for these differences between Infor WMS and Pinecone 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 Infor WMS and Pinecone records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Infor WMS and Pinecone connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor WMS–Pinecone integration in-house.
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Yes — Stacksync ships production-grade connectors for both Infor WMS and Pinecone. 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 Infor WMS: ION event publishing or scheduled polling of API endpoints. On Pinecone: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
Every pair below is a real-time, two-way sync. Search all 365 integrations available for Infor WMS and Pinecone.
Popular · 5 of 365
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Infor WMS ⇄ Azure OpenAI -
Infor WMS ⇄ Autopilot -
Infor WMS ⇄ Openai -
Pinecone ⇄ Cin7 - Pinecone ⇄ DEAR Inventory
No integrations match .
