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o9 Solutions Integration Guide
Integrate o9 Digital Brain with enterprise systems through tenant-specific APIs, approved data interfaces, scheduled workflows, and controlled batch exchanges.
o9 Solutions integration options at a glance
o9 Solutions deployments can exchange planning and supply-chain data through tenant-specific APIs, scheduled processes, batch interfaces, and approved file exchanges, although the exact endpoints, authentication scheme, formats, and job behavior must be confirmed with the o9 administrator. Public GraphQL and SOAP documentation was not verified, and general-purpose webhooks or callbacks should not be assumed. Martini can consume documented o9 REST endpoints, orchestrate scheduled or batch workflows, map Products, Locations, Demand, Supply, and related planning data, and expose a controlled REST API for upstream systems. Secure environment configuration, validation, retries, reconciliation, and operational monitoring can be applied around the confirmed o9 interface.
| Integration point | Supported by o9 Solutions? | Common use cases | How Martini supports it |
|---|---|---|---|
| REST APIs | Not confirmed | Tenant-specific APIs may exchange Products, Locations, Customers, Suppliers, Demand, Supply, inventory, orders, forecasts, and planning outputs. Endpoints, methods, pagination, filtering, and limits require confirmation. | Martini can consume documented o9 REST APIs from workflows, transform payloads, apply validation and business rules, and expose a controlled API boundary for upstream systems. |
| Bulk, asynchronous, and batch data exchange | Not confirmed | Large planning-data loads and planning-cycle exchanges may use batch or asynchronous operations. Job formats, throughput, and completion behavior must be verified for the deployment. | Martini can schedule batch workflows, divide data into controlled batches, track job identifiers where provided, poll documented status operations, and reconcile results. |
| File import/export | Not confirmed | Planning data loads and extracts may use SFTP, object storage, managed file exchange, CSV, JSON, XML, or another approved format. The actual protocol and format are tenant-specific. | Martini can orchestrate approved file exchanges, parse and transform supported formats, validate records, and route files or rejected rows through workflows. |
| Webhooks and outbound callbacks | Not confirmed | No public official documentation confirmed general-purpose o9 webhooks or callbacks. Event-driven processing should be used only when the deployed environment documents supported notifications. | If documented callbacks exist, Martini can receive them through an API or workflow trigger, retrieve current data, and process the notification idempotently. Otherwise, scheduled synchronization is the safer pattern. |
| Authentication | Not confirmed | Authentication may be tenant-specific and could involve OAuth 2.0, tokens, API keys, scopes, or platform permissions, but these options were not publicly verified for o9. | Martini can store confirmed credentials, endpoints, tokens, and scopes in secure environment configuration rather than embedding secrets in workflows. |
| GraphQL APIs | Not confirmed | No official public o9 GraphQL API documentation was verified, so GraphQL should not be assumed for an o9 integration. | Martini can consume GraphQL APIs generally, but an o9 GraphQL workflow should be designed only after the target deployment provides documented endpoints. |
| SOAP APIs | Not confirmed | No official public o9 SOAP API documentation was verified. SOAP should be considered only if the implementation documentation confirms a SOAP service. | Martini can consume SOAP services generally, but SOAP-specific o9 mappings and workflows require a confirmed endpoint and contract. |
| Database and analytics access | Not confirmed | Direct access to o9-managed application data should not be assumed. Approved exports, APIs, or documented analytics interfaces are preferred. | Martini can connect to approved databases or analytics endpoints when explicitly provided, while keeping the integration on supported interfaces rather than bypassing the o9 application model. |
How o9 Solutions exposes data and business events
o9 Solutions REST APIs
o9 deployments may expose tenant-specific REST resources for planning and supply-chain data, but a public official API reference was not verified. The target implementation must confirm resources, methods, authentication, pagination, filtering, and response behavior.
Martini implementation pattern
Martini implementation pattern: Martini consumes the documented o9 REST interface from a workflow, retrieves or submits Products, Locations, Demand, Supply, or other confirmed objects, maps the payload to a canonical model, validates business rules, and writes the result to the target system. Endpoint and credential details remain environment-specific.
Implementation sequence
o9 Solutions batch exchange
Large planning-data exchanges may use scheduled, bulk, or asynchronous processes, but o9-specific job APIs, formats, and completion semantics require confirmation. Batch behavior should not be inferred from general planning-platform practice.
Martini implementation pattern
Martini implementation pattern: a scheduler starts a workflow that prepares controlled batches, invokes the documented o9 load or extract operation, records any job identifier, monitors documented completion status, and distributes or reconciles the result. Failed batches are isolated for retry or remediation.
Implementation sequence
o9 Solutions file exchange
File-based planning imports and extracts may be part of an o9 implementation, but the supported transfer protocol and formats were not publicly verified. Confirm whether the tenant uses SFTP, object storage, managed exchange, CSV, JSON, XML, or another mechanism.
Martini implementation pattern
Martini implementation pattern: Martini retrieves or receives an approved file, parses it using the confirmed format, validates the tenant-specific model, transforms it into the required o9 or downstream structure, and records file and run metadata for audit and replay.
Implementation sequence
o9 Solutions callbacks and notifications
No public official documentation confirmed general-purpose o9 webhooks or outbound callbacks. Event-driven integration is therefore conditional on the deployed environment providing documented notifications or an approved intermediary service.
Martini implementation pattern
Martini implementation pattern: when a documented callback exists, Martini receives the notification, authenticates and deduplicates it, retrieves the current o9 resource if necessary, and invokes downstream processing. If callbacks are unavailable, a scheduled watermark-based workflow provides the integration trigger.
Implementation sequence
Common o9 Solutions integration patterns
Pattern 1: Synchronize ERP master data with o9 Solutions
When to use this pattern
Use this pattern when Products, Locations, Suppliers, and Customers must be kept aligned between an ERP platform and o9 planning models. It is suitable for scheduled loads or documented event-triggered exchanges where stable identifiers and effective dates are available.
Integration direction
Example Mapping
| o9 Solutions Field | Canonical Field | Target Field |
|---|---|---|
| Product external identifier | productId | Product / Item identifier |
| Plant or warehouse code | locationId | Location identifier |
| Supplier number | supplierId | Supplier identifier |
| Base unit of measure | quantityUnit | Product or Supply unit |
Martini implementation pattern
A Martini workflow retrieves changed ERP master data, validates required identifiers and relationships, normalizes units and dates, and submits only confirmed o9 resources or files. It stores a watermark and run identifier, rejects invalid rows separately, and uses documented upsert or idempotency behavior when available.
Martini capabilities used
- workflows
- API consumption
- scheduling
- data mapping
- validation
- business rules
- error handling
Pattern 2: Exchange demand and forecasts
When to use this pattern
Use this pattern to move sales history, orders, customer demand, and forecasts into o9 and distribute approved forecast or planning outputs to downstream systems. Time buckets, calendars, scenarios, units, and product-location combinations need explicit treatment.
Integration direction
Example Mapping
| o9 Solutions Field | Canonical Field | Target Field |
|---|---|---|
| Opportunity or order quantity | demandQuantity | Demand quantity |
| Product identifier | productId | Demand Product / Item |
| Customer or account identifier | customerId | Demand Customer |
| Forecast period | planningPeriod | Demand time bucket |
Martini implementation pattern
Martini orchestrates incremental or batch extraction, converts commercial signals into the o9 demand model, validates calendar and scenario values, and submits the confirmed interface payload. Approved outputs can be transformed for Snowflake or another target, with reconciliation for late-arriving and rejected demand.
Martini capabilities used
- workflow orchestration
- scheduled synchronization
- data mapping
- JSON handling
- business rules
- reconciliation
- retry handling
Pattern 3: Synchronize supply, inventory, and orders
When to use this pattern
Use this pattern when execution systems and o9 must exchange inventory positions, purchase orders, production orders, shipments, or approved supply plans. It is useful for bidirectional synchronization with strict status and duplicate controls.
Integration direction
Example Mapping
| o9 Solutions Field | Canonical Field | Target Field |
|---|---|---|
| Execution order identifier | orderId | Supply or order identifier |
| Execution status | orderStatus | Supply status |
| Available quantity | availableQuantity | Supply quantity |
| Expected date | plannedDate | Supply date |
Martini implementation pattern
A Martini workflow retrieves execution updates, normalizes statuses and quantities, validates order-line identifiers, and submits confirmed o9 updates. Reverse flows distribute approved plans to execution systems. Stable keys, replay protection, controlled concurrency, and separate transport-versus-record error handling prevent duplicate or partial updates.
Martini capabilities used
- API consumption
- workflow orchestration
- data transformation
- idempotency rules
- conditional routing
- error handling
- monitoring
Pattern 4: Orchestrate a planning cycle
When to use this pattern
Use this pattern when a planning cycle requires ordered master-data loads, demand and supply exchanges, long-running operations, and downstream publication. It is appropriate for scheduled, batch-oriented processes where completion and reconciliation must be visible.
Integration direction
Example Mapping
| o9 Solutions Field | Canonical Field | Target Field |
|---|---|---|
| Planning run identifier | planningRunId | o9 job or scenario identifier |
| Source extract timestamp | extractWatermark | Incremental extraction checkpoint |
| Accepted record count | acceptedCount | Reconciliation total |
| Planning output measure | planningMeasure | Analytics measure |
Martini implementation pattern
A scheduler starts a Martini orchestration workflow that validates prerequisites, loads dependent datasets in sequence, invokes confirmed o9 operations, tracks asynchronous job status where documented, and publishes completed outputs. The workflow supports reruns, backoff, alerts, and source-to-target count reconciliation.
Martini capabilities used
- scheduling
- workflow orchestration
- conditional routing
- asynchronous execution
- data mapping
- reconciliation
- monitoring and troubleshooting
Applications commonly integrated with o9 Solutions
o9 Solutions commonly participates in enterprise planning landscapes that include ERP, execution, commercial, and analytical platforms. The following are conservative architecture patterns rather than claims of universal native support; each interface should be confirmed against the o9 tenant and the adjacent application.
| Application | Scenario | Direction | Martini Pattern |
|---|---|---|---|
| SAP S/4HANA | Exchange products, locations, suppliers, inventory, orders, production data, and planning outputs. | SAP S/4HANA → Martini → o9 Solutions | Use scheduled or event-triggered workflows to retrieve S/4HANA data, validate identifiers and units, map it to the confirmed o9 model, and reconcile accepted and rejected records. Reverse flows can distribute approved planning outputs back to S/4HANA. |
| Oracle Fusion Cloud ERP | Synchronize ERP master data, purchasing, inventory, orders, and supply-plan outputs. | Oracle Fusion Cloud ERP → Martini → o9 Solutions | Orchestrate bidirectional API or approved file exchanges, apply tenant-specific mappings and business rules, and retain run identifiers and reconciliation totals for batch planning loads. |
| Microsoft Dynamics 365 | Exchange demand, inventory, customers, products, orders, and supply information with planning processes. | Microsoft Dynamics 365 → Martini → o9 Solutions | Use Martini workflows to retrieve incremental or scheduled data, normalize calendars and quantities, submit validated payloads through documented o9 interfaces, and route failures for remediation. |
| Salesforce | Provide customer, account, opportunity, or sales-pipeline signals to demand-planning processes. | Salesforce → Martini → o9 Solutions | Retrieve approved commercial data, transform it into demand or customer dimensions defined by the o9 tenant, validate required combinations, and publish selected planning outputs back through documented interfaces where required. |
| Blue Yonder | Coordinate planning or execution data where organizations operate both platforms in different supply-chain domains. | Blue Yonder → Martini → o9 Solutions | Implement a bidirectional data contract with canonical product, location, demand, and supply mappings, controlled batch execution, duplicate prevention, and reconciliation between planning platforms. |
| Kinaxis RapidResponse | Exchange planning, supply, inventory, or scenario data in organizations with multiple planning platforms. | Kinaxis RapidResponse → Martini → o9 Solutions | Use Martini as the orchestration boundary for confirmed APIs or files, normalize scenario and time-bucket identifiers, sequence dependent loads, and monitor asynchronous completion where supported. |
| Snowflake | Land planning and operational data for reporting, forecasting analysis, and data science. | o9 Solutions → Martini → Snowflake | Extract data using documented o9 APIs or approved exports, transform it into analytical schemas, load it into Snowflake through the approved interface, and reconcile counts, measures, and extraction watermarks. |
| Manhattan Active | Exchange warehouse, inventory, fulfillment, and supply-chain execution information with planning processes. | Manhattan Active → Martini → o9 Solutions | Coordinate execution updates and planning outputs through confirmed interfaces, normalize statuses and quantities, apply idempotency keys, and isolate rejected records from transport failures. |
How to build a o9 Solutions integration in Martini
Objective
Confirm the o9 tenant interface, endpoint, authentication scheme, scopes, permissions, formats, and operational limits before building mappings.
Instructions in Martini
- Obtain the customer-specific o9 API catalog or approved file-interface specification
- Store endpoints, credentials, tokens, and scopes in secured environment configuration
- Use separate credentials and configuration for development, test, and production
- Validate least-privilege access with the o9 deployment administrator
Objective
Select a trigger that matches the confirmed o9 mechanism and the business freshness requirement.
Instructions in Martini
- Use a scheduler for planned batch or watermark-based synchronization
- Use a documented callback only when the o9 deployment confirms event delivery
- Define dependencies for planning-cycle loads and long-running jobs
- Record the intended run frequency, batch size, and rerun policy
Objective
Acquire the source data using the documented o9 API, approved file exchange, or adjacent application interface.
Instructions in Martini
- Retrieve or receive the current resource, extract, or file
- Implement the tenant's confirmed pagination, filtering, continuation, or extraction-window model
- Persist watermarks, file metadata, job identifiers, and request identifiers
- Avoid assuming direct database access to o9-managed application data
Objective
Coordinate dependent calls, batches, asynchronous operations, and downstream processing in a maintainable Martini workflow.
Instructions in Martini
- Sequence master data before dependent demand or supply loads
- Divide large exchanges into controlled batches
- Poll only documented job-status operations
- Route transport failures separately from rejected business records
Objective
Transform tenant-specific o9 data into canonical and target schemas while enforcing planning-specific data quality rules.
Instructions in Martini
- Map actual tenant object names and fields after model confirmation
- Normalize identifiers, calendars, dates, time zones, units, quantities, and scenarios
- Validate required Product / Item, Location, Customer, Supplier, Demand, and Supply relationships
- Apply stable external keys and documented upsert or idempotency behavior
Objective
Submit validated data to o9 or distribute approved planning outputs to ERP, execution, commercial, or analytical systems.
Instructions in Martini
- Call the documented o9 operation or write through the approved file interface
- Publish only completed and reconciled planning outputs
- Capture response payloads, o9 job identifiers, and target acknowledgements
- Prevent duplicate writes during replay or workflow restart
Common o9 Solutions data objects used in integrations
| Object | Typical Use | Common target systems | Martini handling |
|---|---|---|---|
| Product / Item | Products, materials, SKUs, or finished goods used in planning. | SAP S/4HANA, Oracle Fusion Cloud ERP, Microsoft Dynamics 365, Snowflake | Confirm the tenant's object name, identifiers, hierarchies, units, and attributes; validate and map them through a Martini workflow. |
| Location | Plants, distribution centers, warehouses, stores, and other supply-chain nodes. | SAP S/4HANA, Manhattan Active, Blue Yonder, Snowflake | Normalize location identifiers, effective dates, calendars, and relationships before loading or extracting data. |
| Customer | Customers, accounts, channels, or demand destinations used in commercial and demand planning. | Salesforce, SAP S/4HANA, Microsoft Dynamics 365, Snowflake | Map tenant-specific customer dimensions and external keys, validate required combinations, and prevent duplicate creation on replay. |
| Supplier | Suppliers and sourcing relationships supporting supply planning. | SAP S/4HANA, Oracle Fusion Cloud ERP, Kinaxis RapidResponse | Apply supplier and sourcing business rules, normalize identifiers and dates, and route rejected relationships for remediation. |
| Demand | Forecasts, orders, consumption, and other demand signals. | Salesforce, SAP S/4HANA, Blue Yonder, Snowflake | Transform time buckets, scenarios, quantities, units, and product-location combinations, then reconcile loaded and rejected demand. |
| Supply | Planned supply, purchase orders, production orders, shipments, or available inventory. | SAP S/4HANA, Manhattan Active, Oracle Fusion Cloud ERP, Snowflake | Normalize statuses, quantities, dates, and order-line identifiers; use idempotency and controlled retries for plan exchanges. |
Authentication and security considerations
Tenant-specific authentication
o9 authentication details are environment- and customer-specific. OAuth 2.0, tokens, API keys, scopes, and other mechanisms should not be assumed until confirmed by the o9 administrator or implementation documentation.
Secure configuration
Martini should store confirmed endpoints, credentials, tokens, and scopes in secured environment configuration rather than embedding secrets in workflows or mappings.
Least privilege
- Use environment-specific credentials for development, test, and production.
- Apply the least-privilege o9 roles and permissions required by each workflow.
- Use HTTPS and retain request, job, and run identifiers for controlled auditability.
Operational considerations for o9 Solutions integrations
Throughput and extraction
Confirm tenant-specific rate limits, concurrency, payload sizes, pagination, extraction windows, and batch-volume guidance. Use controlled concurrency and backoff instead of assuming unlimited capacity.
Planning data integrity
- Use stable identifiers and idempotency controls for Products, Locations, Demand, Supply, and orders.
- Normalize fiscal calendars, time zones, effective dates, units, quantities, and scenario identifiers.
- Track watermarks, job identifiers, request identifiers, accepted counts, and rejected records.
Asynchronous processing
Confirm whether large loads return a job identifier, how completion is checked, how failures are retrieved, and whether reruns are safe. Keep mappings versioned to manage tenant-specific model and schema changes.
Testing and monitoring
Test with representative tenant data and failure cases before production. Monitor workflow logs, retries, reconciliation totals, schema changes, and operational alerts.
Why use Martini instead of scripts or point-to-point integrations?
Orchestration beyond scripts
o9 integrations often span ERP, execution, commercial, and analytical systems. Martini provides workflows that coordinate API calls, files, schedules, batches, validation, business rules, and downstream writes in one maintainable integration boundary.
Controlled change
Mappings, transformations, credentials, and tenant-specific configuration can be managed separately from workflow logic. This reduces the risk of embedding environment details in scripts and makes model changes easier to test and deploy.
Operational reliability
- Apply retries, backoff, idempotency, conditional routing, and reconciliation.
- Track watermarks, job identifiers, request identifiers, and rejected records.
- Expose a controlled Martini API when upstream systems need a stable integration boundary.
Frequently asked questions
o9 Solutions can be integrated through the interfaces enabled by the customer-specific deployment, which may include tenant-specific REST APIs, scheduled or batch exchanges, approved file interfaces, and conditional callbacks. The exact resources, authentication, formats, pagination, job behavior, and limits must be confirmed with the o9 administrator because a public API reference was not verified.
Yes. Martini can integrate with o9 Solutions by consuming documented o9 APIs or approved file and integration endpoints, orchestrating scheduled or batch workflows, mapping planning data, applying validation and business rules, and distributing results to enterprise systems. The implementation depends on the interfaces exposed by the target o9 tenant.
No. A dedicated o9 Solutions connector is not required. Martini can use o9's confirmed native APIs, approved files, authentication methods, callbacks, or other documented endpoints. No native Martini o9 connector is documented in the supplied sources.
Lonti does not charge an additional per-connector or per-vendor fee to integrate o9 Solutions. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from o9, cloud infrastructure, or other third-party systems depending on subscription, usage, and deployment model.
Use the current interfaces documented for the target tenant, with REST APIs or approved batch and file exchanges as the likely primary candidates. GraphQL and SOAP were not publicly verified, and direct database access should not be assumed. Martini can consume the confirmed interface and expose a controlled REST API where an integration boundary is needed.
General-purpose o9 webhooks or outbound callbacks were not publicly confirmed. Use them only if the deployed environment documents supported event types and delivery behavior. Otherwise, Martini can use scheduled, watermark-based, or batch synchronization workflows.
Martini can retrieve or receive Products, Locations, Customers, Suppliers, Demand, and Supply data, transform calendars, units, quantities, identifiers, and scenarios, and submit or distribute validated results. Large exchanges can be divided into controlled batches, with watermarks, job identifiers, reconciliation totals, and replay protection.
A Martini workflow can separate transport failures from rejected business records, apply controlled backoff and retries for transient failures, persist request and run identifiers, and route invalid records for remediation. Stable external identifiers, documented upsert or idempotency behavior, watermarks, and reconciliation help prevent duplicates during replay.
Related Martini documentation
APIs
Operations
Plan an o9 Solutions integration with Martini
Use Martini to design a controlled integration around your o9 tenant’s confirmed APIs, batch processes, files, authentication model, and planning data structures.