About
Daybreak is an enterprise-grade, AI-first supply chain planning platform formerly known as Noodle.ai. Designed for supply chain practitioners, Daybreak tackles the core failures of traditional Advanced Planning Systems (APS) and ERP tools by replacing outdated, rules-based algorithms with domain-specific AI models that account for real-world uncertainty and probability distributions. The platform is built around three core pillars: (1) the Prediction Platform, a data-centric, model-agnostic engine that generates highly accurate supply chain forecasts without requiring data scientists or coding; (2) the Decision System, which integrates AI predictions with human judgment to drive faster, higher-quality decisions enterprise-wide; and (3) Luma, a framework of AI agents with specialized tools, knowledge bases, and problem-solving architectures that automates routine supply chain tasks while keeping humans in control. Daybreak addresses a critical industry gap — despite $26B in planned AI investments by 2025, only 13% of AI projects reach production. Its domain-specific approach bridges the gap between AI capability and business adoption, eliminating reliance on manual data science experiments and reducing the common fallback to Excel-based planning. The result is improved forecast accuracy, reduced waste, faster decision cycles, and greater supply chain resilience. Daybreak is ideal for mid-to-large enterprises in manufacturing, retail, logistics, and distribution seeking to modernize supply chain planning with trustworthy, actionable AI.
Key Features
- AI Prediction Platform: A domain-specific, model-agnostic prediction engine that generates accurate supply chain forecasts using probability distributions — no coding or data science skills needed.
- AI-Enabled Decision System: Combines computational AI predictions with human judgment to accelerate and improve the quality and confidence of supply chain planning decisions at the enterprise level.
- Luma AI Assistant: A framework of AI agents with specialized tools and knowledge bases that automates routine supply chain planning tasks while keeping humans in control of critical decisions.
- No-Code AI for Business Users: Built so supply chain practitioners can leverage powerful AI without advanced degrees, data scientists, or manual coding experiments.
- Real-World Uncertainty Modeling: Replaces legacy rules-based APS algorithms with probabilistic AI models that reflect real-world supply chain variability and reduce operational chaos.
Use Cases
- A manufacturing company replaces its legacy APS system with Daybreak to generate probabilistic demand forecasts, reducing inventory overstock and stockouts.
- A retail enterprise uses the Decision System to align procurement, logistics, and sales teams around AI-generated supply plans, cutting planning cycle times significantly.
- A consumer goods company deploys Luma to automate routine replenishment and exception-handling tasks, freeing planners to focus on strategic decisions.
- A supply chain team with no in-house data scientists uses Daybreak's no-code Prediction Platform to build and run custom AI forecasting models tailored to their product lines.
- An operations executive uses Daybreak to consolidate fragmented Excel-based planning processes into a unified, AI-driven system with audit trails and continuous improvement feedback loops.
Pros
- Business-User Friendly: Practitioners can run AI-powered supply chain planning without needing data science expertise, dramatically lowering the barrier to AI adoption.
- Comprehensive Three-Layer Platform: Covers prediction, decision-making, and automation in one integrated suite, reducing the need for multiple disconnected tools.
- Domain-Specific AI: Purpose-built for supply chain use cases, offering superior accuracy compared to generic AI models applied to planning problems.
- Human-in-the-Loop Design: Maintains human oversight and control over AI-driven recommendations, enabling trust and gradual adoption in regulated enterprise environments.
Cons
- Enterprise-Only Pricing: Daybreak targets large enterprises and does not offer self-serve or SMB-friendly pricing tiers, making it inaccessible for smaller organizations.
- Limited Public Transparency: Pricing, integration details, and technical specs are not publicly disclosed, requiring a sales conversation before evaluating fit.
- Complex Implementation: As an enterprise platform replacing legacy APS and ERP planning layers, onboarding and deployment may require significant time and change management.
Frequently Asked Questions
What is Daybreak and what was it previously called?
Daybreak is an AI-first supply chain planning platform, formerly known as Noodle.ai. It was rebranded to Daybreak to reflect its mission of delivering precision and clarity to enterprise supply chain operations.
Do I need data scientists or coding skills to use Daybreak?
No. Daybreak is purpose-built for supply chain business practitioners. Its prediction platform has data science engineered in, allowing users to generate accurate AI predictions without writing code or consulting data scientists.
What is Luma?
Luma is Daybreak's AI assistant framework — a set of AI agents equipped with specialized tools, knowledge bases, and problem-solving architectures. Luma automates routine supply chain tasks while keeping humans in control of high-stakes decisions.
How does Daybreak differ from traditional APS or ERP planning tools?
Traditional APS software uses outdated, rules-based algorithms that rely on single-value forecasts and ignore real-world uncertainty. Daybreak replaces these with probabilistic AI models that generate more accurate plans and integrate seamlessly with human decision-making.
What industries is Daybreak best suited for?
Daybreak is designed for mid-to-large enterprises in industries with complex supply chains, including manufacturing, retail, consumer goods, logistics, and distribution.
