Supply Chain Planning

You think you have a planning function. You have a triage function with a planning budget.

Your team reviews a fraction of the portfolio. The rest ships on whatever the system produced. Nobody grades the result. You're paying planning rates for triage work.

See Your Override P&L Talk to Our CEO

$0 of last cycle's validated decisions carried forward The compounding gap

~5% of SKUs get real planner attention every cycle Capacity math

14,800 decisions made on autopilot with no governance Out of 15,000 SKUs

The labor market will not rescue you. Linear headcount will never match geometric decision growth. How decisions get made has to change.

Override Rate

34%

Governed

72%

Value Add

+7.2%

In production with

What changes when you start measuring the decisions, not just the math.

Our AI agents are not a feature upgrade. They're a new category of labor, and three things change immediately.

Daybreak didn't just improve the math. We changed who owns the decision, how it's measured, and whether the system learns from it. Agents own baseline decisions under explicit human governance, while your team governs the exceptions that matter. The result is planning productivity across the full portfolio: the 14,800 SKUs nobody touches now get governed decisions with the same rigor as your top 200.

Accountability

Every override has a paper trail. You know which interventions create value and which destroy it. Every override is scored against outcomes. In scoped deployments, forecast accuracy improves 7-9% vs. statistical baselines because the system stops repeating the decisions that don't work.

Autonomy

The ones that work are retained. Agents handle the volume. Your team handles the judgment. In measured deployments, 70%+ of the portfolio runs under governance without human intervention. Coverage expands without adding headcount.

Financial Impact

Judgment compounds instead of resetting every cycle. Working capital, margin, and service levels improve against your own pre-deployment baselines. Not a projection. Measured results in governed enterprise deployments. Numbers your board can read without modification.

5-15% Forecast accuracy improvement over customer baselines Every scoped deployment

70%+ Portfolio governed without human intervention Measured deployments

$7M+ Monthly working capital recovered Against pre-deployment baselines

If you can't score a planning override against its outcome, you're paying for judgment you can't measure.

Before you change anything, see what your planning decisions are actually costing.

These aren't products. They're diagnostic engagements that answer a question your leadership team is already asking, using your data, in days.

Override P&L

$35K · 10 business days

What are my planning overrides actually costing?

Every override from the last 6-12 months, broken into value-created and value-destroyed. Formatted as a financial statement.

Deliverable: Override P&L Statement, Decision Pattern Analysis, CFO Action Brief

$20K credits toward Capital Allocation Audit or Proof-of-Value

Capacity Investment Model

$25K · 7 business days

What are the economics of hiring vs. automating planning capacity?

Side-by-side economics of both paths, using your numbers. If hiring wins, we say so.

Deliverable: Side-by-Side Model, Sensitivity Analysis, Board-Ready Memo

$15K credits toward Proof-of-Value

Judgment Continuity Audit

$40K · 12 business days

What happens when my best planner leaves?

A dollar number on planning judgment risk that isn't on your risk register.

Deliverable: Judgment Concentration Map, Financial Exposure Model, Continuity Plan

$25K credits toward Capital Allocation Audit or Proof-of-Value

Or skip straight to a conversation.

Talk to our CEO

You are making four decisions this quarter. Each one is harder without measurement.

You have headcount requests on your desk

Every new region and product line generates a planning headcount request. Before you approve, see the side-by-side economics of hiring vs. governed decision ownership. The Capacity Investment Model answers this in 7 business days.

Your risk register has a gap

Key person risk in planning is on every CFO's radar but nobody quantifies it. What happens to forecast accuracy and inventory economics when your two most experienced planners leave? The Judgment Continuity Audit puts a dollar number on it.

Your board wants AI governance, not AI promises

95% of AI pilots deliver zero measurable return. Your board has seen the headlines. They want audit trails, bounded scope, and measurable proof. Daybreak's governance architecture was designed for this conversation.

Your planning costs are invisible at the decision level

You know your total planning spend. You cannot audit it at the decision level. Half your overrides may be destroying value. The Override P&L shows you which ones in 10 business days.

How Dawn Works

Baseline decisions owned. Exceptions supervised. Every override measured against outcomes.

Dawn Owns the Baseline -
Exceptions Surface +
Planners Govern Exceptions +
Judgment Compounds +

Dawn makes governed decisions across thousands of SKUs each cycle, each with full decision provenance. The cost per decision falls as coverage expands.

When risk thresholds are crossed or governance boundaries are reached, items surface for planner judgment, protecting margin where governed autonomy reaches its scope limit.

Planners focus where their judgment has the highest override value-add, on the critical exceptions, not on every SKU.

When actuals arrive, every decision is measured against results. Override effectiveness becomes visible, and value leakage from poor interventions becomes quantifiable on the P&L.

Dawn Owns the Baseline

Dawn makes governed decisions across thousands of SKUs each cycle, each with full decision provenance. The cost per decision falls as coverage expands.

Exceptions Surface

When risk thresholds are crossed or governance boundaries are reached, items surface for planner judgment, protecting margin where governed autonomy reaches its scope limit.

Planners Govern Exceptions

Planners focus where their judgment has the highest override value-add, on the critical exceptions, not on every SKU.

Judgment Compounds

When actuals arrive, every decision is measured against results. Override effectiveness becomes visible, and value leakage from poor interventions becomes quantifiable on the P&L.

You think you have a planning function. You have a triage function with a planning budget.

What changes when you start measuring the decisions, not just the math.

Before you change anything, see what your planning decisions are actually costing.

You are making four decisions this quarter. Each one is harder without measurement.

How Dawn Works

How Dawn Works

Dawn Owns the Baseline

Exceptions Surface

Planners Govern Exceptions

Judgment Compounds

AI is not a feature upgrade. It is a new category of labor.

Ready to see your numbers?