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Blue Yonder Luminate Planning

by Blue Yonder

AI Application
Low Confidence

Blue Yonder Luminate Planning is Blue Yonder's AI-native supply chain planning solution, part of its end-to-end supply chain management platform running on a common data cloud. It is designed to help supply chain planners proactively manage risks and opportunities, improve demand forecasting and decision-making, and build resilience across supply chain planning functions. Intended users are supply chain, planning, demand, and S&OP professionals across industries including retail, consumer goods, high tech, industrial manufacturing, automotive, life sciences, and wholesale/distribution. Evidenced use cases include demand planning, demand sensing, forecasting, sales and operations planning (S&OP), scenario analysis, and real-time supply chain pivoting, complemented by Blue Yonder's broader AI and ML capabilities delivering over 20 billion predictions per day on the Blue Yonder Platform (vendor-reported). Since 2025 the planning suite is complemented by generative and agentic AI (for example the Inventory Ops Agent and Blue Yonder Orchestrator) that can diagnose exceptions and recommend or execute plan changes, partly through natural-language interaction. Risk rationale: Rated limited. Luminate Planning forecasts demand and optimises supply plans for businesses; it mainly processes product, sales, inventory and supply data rather than personal data, and planning and forecasting of goods is not an EU AI Act Annex III high-risk use. It is rated limited rather than low because the newer generative AI agents interact with users in natural language and can generate plan changes, which brings Article 50 style transparency duties and a need for human oversight of automated actions, and because the vendor suffered a material ransomware incident in November 2024 that disrupted hosted customer operations. The rating would rise if the system were used to schedule, allocate or evaluate workers (Annex III employment use, for example together with Blue Yonder Workforce Management), if agents were allowed to execute changes in critical supply (for example medicines or essential food distribution) without human approval, or if personal or consumer-level data became a core input.

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Transparency Score

Weighted across four pillars · updated October 12, 2026

Overall grade
58% weighted
ABCDF
Model
—
Not yet assessed

Capabilities

Demand Forecasting
Demand Planning
Demand Sensing
Sales And Operations Planning
Supply Chain Planning
Scenario Analysis
Inventory Optimization

Vendor Information

Complete information about the vendor/provider of this AI application

Blue YonderView all products →
Blue Yonder, Inc.(Trading as: Blue Yonder)
Contact Information
blueyonder.com
privacy@blueyonder.com
+1-833-532-4764
Registered Address
c/o The Corporation Trust Company, Corporation Trust Center, 1209 Orange St, Wilmington, DE, 19801, US

Infrastructure

Platforms hosting this application — each inherits its own transparency grade.

Microsoft Azure
Ltd. (Microsoft Azure)
F
Snowflake
Snowflake Computing, Inc.
F
View full infrastructure →

EU AI Act Provider Information

Verification Status:
Partially Verified
(Last verified: October 12, 2026)
Blue Yonder, Inc.(Trading as: Blue Yonder)
c/o The Corporation Trust Company, Corporation Trust Center, 1209 Orange St, Wilmington, DE, 19801, US
privacy@blueyonder.com+1-833-532-4764
Compliance Documents
CE Marking: Not Applicable
Available in EU Member States
🇩🇪DE🇫🇷FR🇮🇹IT🇪🇸ES🇳🇱NL🇨🇿CZ🇩🇰DK🇫🇮FI🇸🇪SE🇵🇱PL
Vendor-reported: continuous monitoring of security controls, risk-based vulnerability management, incident notification to customers without undue delay, regular recovery testing, and Responsible AI commitments to ongoing bias monitoring, quality controls and governance across the AI lifecycle. No public AI incident register, model performance reporting or release-level model change log was found. Release announcements are published (for example 2026.2 release).
No public documentation of forecast accuracy limits, model cards, or known failure modes was found. General limits: forecast quality depends on customer data quality and history; agentic recommendations can propagate errors into operations if executed without review; the November 2024 ransomware incident showed that outages of the hosted service can halt dependent warehouse and scheduling operations. LLM providers behind generative features are undisclosed.

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Supply Chain Network

Visual representation of the vendor's digital supply chain relationships

Compliance & Risk

Get insights into risk by running assessments on this AI application.

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Added: October 12, 2026
Updated: October 12, 2026

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