Logility Supply Chain Planning API

Logility Voyager Solutions REST API for supply chain planning, demand management, and inventory optimization. Enables AI agents to manage demand planning and statistical forecasting for supply chain demand automation, handle sales and operations planning (S&OP) workflow for executive supply chain alignment, access inventory optimization and safety stock calculation for multi-echelon inventory management, retrieve supply chain analytics and KPI dashboards for performance monitoring, manage replenishment planning and purchase order generation for procurement automation, handle supplier collaboration and order management for supply network coordination, access manufacturing planning and production scheduling for capacity alignment, retrieve transportation and logistics optimization for distribution network efficiency, manage scenario planning and supply chain risk simulation for resilience, and integrate Logility with SAP, Oracle, JDA, and ERP systems for unified supply chain data.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools logility supply-chain-planning demand-planning inventory-optimization s-and-op supply-chain-analytics
⚙ Agent Friendliness
49
/ 100
Can an agent use this?
🔒 Security
70
/ 100
Is it safe for agents?
⚡ Reliability
62
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
15
Documentation
62
Error Messages
60
Auth Simplicity
65
Rate Limits
55

🔒 Security

TLS Enforcement
90
Auth Strength
68
Scope Granularity
62
Dep. Hygiene
65
Secret Handling
65

Supply chain planning. SOC2, ISO27001. OAuth2. US/EU. Supply chain and inventory data.

⚡ Reliability

Uptime/SLA
65
Version Stability
65
Breaking Changes
60
Error Recovery
58
AF Security Reliability

Best When

A manufacturer, distributor, or retailer using Logility Voyager wants AI agents to automate demand forecasting, S&OP workflow, inventory optimization, and replenishment planning.

Avoid When

DEMAND FORECAST ACCURACY RISK: Automated replenishment based on inaccurate demand forecasts creates excess inventory or stockouts; statistical forecast models require sufficient historical data and outlier cleaning before automation. S&OP executive alignment — automated S&OP consensus can bypass human judgment on strategic supply chain decisions; executive review gates must be preserved in automated S&OP workflows. New product introduction — automated demand planning for new products without demand history creates unreliable forecasts; NPI requires human-assisted analogous product or market research baseline.

Use Cases

  • Automating demand forecasts from supply chain planning agents
  • Running S&OP processes from executive planning agents
  • Optimizing safety stock from inventory agents
  • Generating replenishment orders from procurement agents

Not For

  • Small businesses without multi-echelon supply chain complexity
  • Organizations without dedicated supply chain planning teams
  • Simple inventory management without demand variability

Interface

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

Authentication

Methods: oauth
OAuth: Yes Scopes: No

Logility uses OAuth 2.0. REST API with JSON. Atlanta, Georgia HQ. Founded 1978 (merged with American Software). Public via American Software (AMSWA NASDAQ). Acquired Halo Business Intelligence (2013), Demand Solutions (2019). 1,200+ supply chain customers. Voyager Solutions is the flagship suite. Competes with Kinaxis, o9 Solutions, and Blue Yonder for supply chain planning.

Pricing

Model: enterprise
Free tier: No
Requires CC: No

Atlanta, Georgia. AMSWA NASDAQ subsidiary. Founded 1978. 1,200+ customers. Supply chain planning specialist. Voyager Solutions flagship product. Competes with Kinaxis and Blue Yonder.

Agent Metadata

Pagination
offset
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • DEMAND FORECAST ACCURACY: Automated replenishment based on poor demand forecasts creates stockouts or excess inventory; statistical models require sufficient history (24+ months) and outlier treatment before full automation
  • S&OP human override requirement — automated S&OP consensus workflows must preserve executive override gates; supply chain decisions with major financial impact require human review before execution
  • New product introduction — NPI demand planning without historical data requires analogous product mapping or market research baseline; fully automated NPI forecasting creates unreliable replenishment plans
  • No webhooks — planning run completion and replenishment recommendations require polling; no native push notification for planning event completion
  • ERP integration sync timing — Logility integrates with SAP/Oracle via batch sync; real-time inventory position updates are not available between sync intervals
  • American Software acquisition complexity — Logility operates under AMSWA umbrella with Demand Solutions and Halo BI; verify which product API applies to your planning use case

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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