o9 Solutions Supply Chain Planning API

o9 Solutions REST API for AI-powered integrated business planning (IBP) and digital supply chain platform. Enables AI agents to manage demand forecasting and statistical model result retrieval for commercial planning, handle supply planning and production schedule data access for manufacturing operations, access inventory optimization and safety stock recommendation data, retrieve S&OP (Sales and Operations Planning) scenario and consensus data for executive alignment, manage demand sensing and short-term forecast data for operational planning, handle capacity planning and constraint management data for production optimization, access financial integration data for P&L-linked supply chain planning, retrieve new product introduction and lifecycle planning data, manage promotion and event demand signal integration, and integrate supply chain planning data with SAP S/4HANA, Oracle, and enterprise ERP systems.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools o9-solutions supply-chain demand-planning ibp s&op supply-planning digital-supply-chain
⚙ Agent Friendliness
56
/ 100
Can an agent use this?
🔒 Security
79
/ 100
Is it safe for agents?
⚡ Reliability
67
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
18
Documentation
70
Error Messages
65
Auth Simplicity
75
Rate Limits
62

🔒 Security

TLS Enforcement
95
Auth Strength
78
Scope Granularity
72
Dep. Hygiene
70
Secret Handling
78

Supply chain IBP. SOC2, ISO27001, GDPR. OAuth2. US/EU. Planning and forecast data.

⚡ Reliability

Uptime/SLA
72
Version Stability
68
Breaking Changes
62
Error Recovery
65
AF Security Reliability

Best When

An enterprise using o9 Solutions wants AI agents to automate demand forecast retrieval, supply plan access, inventory optimization, S&OP scenario management, and ERP integration.

Avoid When

OPERATIONAL RISK: Supply chain planning decisions affect production, procurement, and inventory levels — automated plan execution without human review can cause overproduction, stockouts, or procurement commits. Demand forecast automation without exception management misses market signal changes. AI planning recommendations require supply chain professional review before execution.

Use Cases

  • Retrieving demand forecasts from supply chain automation agents
  • Accessing inventory optimization recommendations from replenishment agents
  • Managing S&OP scenarios from executive planning agents
  • Integrating supply plan data with ERP from production agents

Not For

  • Simple inventory tracking without AI-powered planning and forecasting
  • Real-time execution without integrated planning and optimization focus
  • SMB supply chain without enterprise IBP complexity and multi-constraint planning

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: oauth
OAuth: Yes Scopes: Yes

o9 Solutions uses OAuth 2.0 authentication. Per-tenant and per-application API credentials. Developer portal at developer.o9solutions.com. No native webhooks — event-driven integration via ERP connectors. REST API with JSON responses. Graph-based planning data model. AI-powered planning algorithms. Integration with SAP, Oracle, and other ERPs. Strong in CPG, retail, and hi-tech verticals.

Pricing

Model: enterprise
Free tier: No
Requires CC: No

Dallas, Texas. Founded 2009. Private ($1B+ funding, valuation $2.7B). Supply chain planning and IBP market. 100+ enterprise customers including Google, Nike, and Pfizer. o9 Digital Brain AI platform. Known for connected planning across demand, supply, and financials. Competes with Kinaxis and SAP IBP for enterprise supply chain planning.

Agent Metadata

Pagination
offset
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • OPERATIONAL RISK: Supply chain planning recommendations require human review before execution; automated plan implementation without review causes procurement and production errors
  • Graph-based data model — o9 uses a graph-based planning data model; standard CRUD patterns don't apply; understand planning node and edge relationships before querying
  • ERP integration dependency — o9 planning data flows from ERP (SAP, Oracle); API access is to planning results; underlying data quality depends on ERP integration quality
  • Planning cycle latency — supply plans update on planning cycle (daily, weekly); real-time planning data access is limited to published plan versions
  • Exception management — AI planning generates exceptions for human review; build exception surfacing into planning automation rather than auto-executing all recommendations
  • Customer documentation — developer.o9solutions.com requires customer account; limited public API documentation available

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Scores are editorial opinions as of 2026-03-06.

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