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ERP ⇄ AI

Manhattan Associates WMS to Openai integration — real-time data sync

Keep Manhattan Associates WMS and Openai 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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Why teams connect Manhattan Associates WMS and Openai

Ground Openai on the customers, suppliers, items, and transactions that live in Manhattan Associates WMS, and write the classifications, scores, and extracted fields Openai produces back onto those records in real time.

Openai is a read-only source: Stacksync reads its data in real time and delivers it into Manhattan Associates WMS, so Manhattan Associates WMS always reflects the current state of 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. Manhattan Associates 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 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 Manhattan Associates WMS where the business is run.

Stacksync connects Files, Batch jobs, Vector stores, Usage & Costs in Openai with Distribution Orders, Purchase Orders & ASNs, Inventory, Items in Manhattan Associates WMS and keeps the two sides in sync in real time. Distribution Orders, Purchase Orders & ASNs, Inventory, Items from Manhattan Associates WMS replicate into Openai continuously, so retrieval, classification, and reasoning run against current ERP records instead of last night's extract, and the fields Openai generates sync back onto the matching record in Manhattan Associates 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. 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, hyperparameters, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.
  • 02 Subscribe to batch.completed and fine_tuning.job.succeeded webhooks so a downstream pipeline step fires the moment an offline-inference or training job finishes.
  • 03 Mirror inventory positions across the distribution network into a central warehouse for network-level visibility.
  • 04 Reconcile ASNs and receipts with procurement systems to close POs automatically.

Common sync patterns

ERP records as live context

Customers, suppliers, items, and transactions from Manhattan Associates WMS replicate into 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 Openai sync onto the matching record in Manhattan Associates 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 Manhattan Associates WMS, the copy held in Openai updates within seconds, so the model side never reasons over stale ERP data.

What you can sync between Manhattan Associates WMS and Openai

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.

Manhattan Associates WMS objects Openai objects How this pairing syncs
Inventory On-hand, allocated, and available positions read out across the DC network. Fine-tuning jobs Training jobs with status, base model, hyperparameters, trained-model name, and result files; status received by webhook or polled from queued through succeeded or failed. Inventory is specific to Manhattan Associates WMS and Fine-tuning jobs to Openai — each maps to any object or custom field on the other side.
Items Item master and packaging data kept consistent with the ERP catalog. Files Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back as business records in sync. Items is specific to Manhattan Associates WMS and Files to Openai — each maps to any object or custom field on the other side.
Shipments & LPNs Ship confirmations, cartons, and tracking pushed back to order sources. Batch jobs Asynchronous bulk-inference jobs within a 24-hour window, with status and output/error file IDs; completion detected by the batch.completed webhook or by polling. Shipments & LPNs is specific to Manhattan Associates WMS and Batch jobs to Openai — each maps to any object or custom field on the other side.
Receipts Receiving transactions reconciled against POs in the ERP. Vector stores File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets. Receipts is specific to Manhattan Associates WMS and Vector stores to Openai — each maps to any object or custom field on the other side.
Locations & Zones Facility topology referenced when interpreting inventory positions. Usage & Costs Per-model and per-project token, request, and dollar figures from the Administration Usage and Costs endpoints, read for FinOps chargeback and spend reporting. Locations & Zones is specific to Manhattan Associates WMS and Usage & Costs to Openai — each maps to any object or custom field on the other side.
Returns Return receipts synced so upstream systems reflect disposition and restock. Projects & Members Organization projects, their members, and service accounts from the Administration API; read as an access-and-ownership inventory. Returns is specific to Manhattan Associates WMS and Projects & Members to Openai — each maps to any object or custom field on the other side.

How changes propagate between Manhattan Associates WMS and Openai

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.

Manhattan Associates WMS Openai Interval-based propagation

DetectionStacksync polls Manhattan Associates WMS for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified timestamps.

DeliveryOpenai does not accept inbound record writes, so this direction carries requests rather than records: Openai's output flows back as field updates on the originating Manhattan Associates WMS records.

Openai Manhattan Associates WMS Sub-second propagation

DetectionOpenai notifies Stacksync of record changes through webhook events. Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed,.

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

Rate-limit considerations

  • Openai: Rate limits are set per organization and per project as RPM/RPD and TPM/TPD and rise across five spend-based usage tiers; responses carry x-ratelimit-remaining headers and return HTTP 429 on breach.
What ships with Manhattan Associates WMS ⇄ Openai

Connect Manhattan Associates WMS and Openai for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Manhattan Associates WMS–Openai connection.

Real-time

Real-time sync

Changes in Manhattan Associates WMS or Openai instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Manhattan Associates WMS or Openai 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 Manhattan Associates WMS or Openai record.

Observability

Monitoring

Track your Manhattan Associates WMS ⇄ Openai sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Manhattan Associates WMS and Openai.

How the Manhattan Associates WMS and Openai connectors work

Manhattan Associates WMS

Integration surface
REST API on Manhattan Active WM; database tables and message-based interfaces on legacy on-premises versions
Authentication
OAuth 2.0 on Manhattan Active; database credentials on legacy deployments
Change detection
Polling on modified timestamps; Manhattan Active also supports event/message-driven integration patterns
Capabilities
read · write

Openai

Integration surface
REST API: data-plane inference and authoring (api.openai.com/v1) plus the Administration API (/v1/organization/*) for usage, costs, projects, and audit logs
Authentication
Bearer API key scoped to a project or user (sk-...) in the Authorization header, with optional OpenAI-Organization and OpenAI-Project headers; the Administration API requires an Admin key (sk-admin-...)
Change detection
Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed, and eval.run events; objects without a webhook are read by list plus GET-by-ID. No row-level CDC feed.
Capabilities
read · webhooks
Rate limits
Rate limits are set per organization and per project as RPM/RPD and TPM/TPD and rise across five spend-based usage tiers; responses carry x-ratelimit-remaining headers and return HTTP 429 on breach.
How it works

How to connect Manhattan Associates WMS to Openai — 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 Manhattan Associates WMS and Openai 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
    Manhattan Associates WMS connected
    Openai connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Manhattan Associates WMS and Openai 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 · Manhattan Associates WMS ⇄ Openai
    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
    Manhattan Associates WMS Openai
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Manhattan Associates WMS and Openai 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.

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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 380 integrations available for Manhattan Associates WMS and Openai.

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