Snapshot
Continue to About ↓- What it does
- Daybreak provides "AI labor" for enterprise supply chain planning: agents named Sol and Dawn that prepare planning data, own routine demand-planning decisions under customer-set policies, and route exceptions above thresholds to human planners.
More detail
- It then scores every agent decision and human override against realized outcomes, so planning judgment and its financial impact are tracked cycle over cycle.
- Best for
- Large manufacturers and distributors with high volumes of demand-planning overrides, ERP and planning data, and enterprise operations teams that want routine decisions automated under policy while exceptions stay with planners.
- Pricing
- No public price, plan tiers, unit of sale or currency are published
More detail
- pricing is quoted by sales, typically starting with a 10-business-day review of the customer's own override log.
- A software fee is undisclosed and must not be treated as free, and any usage-linked unit (such as decisions or agents)
- Main limitation
- Small businesses or teams wanting self-serve signup, published pricing, developer APIs/SDKs, or guaranteed regional data residency outside the US
More detail
- the service is enterprise-sales-led and hosted in the US.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Daybreak provides "AI labor" for enterprise supply chain planning: agents named Sol and Dawn that prepare planning data, own routine demand-planning decisions under customer-set policies, and route exceptions above thresholds to human planners.
- It then scores every agent decision and human override against realized outcomes, so planning judgment and its financial impact are tracked cycle over cycle.
What it helps with
- Planning overrides are not measured, so their costs surface as write-downs, expedites, stockouts and trapped working cap
- Demand-planning capacity is capped by planner headcount for routine SKU and location decisions.
- Planner judgment and reasoning are lost between planning cycles instead of compounding.
- High-impact forecast changes escape review because thresholds and financial impact are not surfaced consistently.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Sol operator agent | Yes | Validates source data, structures planning inputs and flags integrity issues before decisions are made. |
| Dawn planning agent | Yes | Generates demand plans with reasoning, alternatives and guardrails, and runs routine calls under policy. |
| Threshold exception routing | Yes | Decisions above a stability threshold, such as the 20% example, route to planners with stated financial impact. |
| Decision Quality Score | Yes | Scores each decision against an unmodified baseline and tracks it by category and cycle. |
| Override Value Score | Yes | Measures whether a human override improved or worsened the forecast versus the agent baseline. |
| Compounding cycle memory | Yes | Accepted context and policy adjustments carry forward into the next planning cycle. |
| Developer API or SDK | No | No public developer API, SDK or documentation site is published, per an independent directory. |
| Public pricing | No | No pricing page or plan table; commercial terms are quoted via a sales call. |
| Regional data residency choice | No | Service is hosted in the US and no region option is published. |
| SOC 2 Type II | Limited | Attestation is claimed in a directory listing rather than documented on the official site. |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- daybreak.ai
Technical profile details
Record ID
3bd53c0a-5efe-4dc0-b4c6-97d2b9840b90Canonical URLhttps://profiles.scribble.network/listing/daybreak-3bd53c0a