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Your Planners Override

60–95% of System Forecasts.

Nobody measures whether that helps or hurts.

The result: millions in working capital trapped by decisions that feel productive but are economically destructive. 

This 14-day diagnostic quantifies exactly how much.

Book Your 30-Min Scoping Call

The Override Problem Nobody Measures

60-95%

of system forecasts are manually overridden before execution.

~50%

of those overrides make the forecast worse.

Nearly 0%

of enterprises measure the financial impact of those overrides.

Override behavior is visible in every planning system. The financial damage is not.

What Trapped Working Capital Looks Like

Monthly Shipments
x Accuracy Improvement
= Inventory Release Range

In live enterprise deployments, scoring and governing override decisions has delivered 3–9% measurable accuracy improvement. Your number is in that range. The audit finds it in 14 days.

Monthly Shipments
x Accuracy Improvement
= Inventory Release

In live enterprise deployments, scoring and governing override decisions has delivered 3–9% measurable accuracy improvement. Your number is in that range. The audit finds it in 14 days.

Monthly Shipments

Accuracy Improvement

Working Capital Released

$250M / month 

3%

~$7.5M

$250M / month

6%

~$15M

$250M / month

9%

~$22.5M

What Trapped Working Capital Looks Like

What we find every time in live enterprise deployments with planning organizations like yours:

~50% of overrides degrade forecast accuracy – meaning planners actively made the plan worse, at scale, without knowing it.

3–9% measurable forecast accuracy improvement when override decisions were scored for value impact and governed with decision accountability.

Direct dollar figure quantifying working capital trapped by value-destroying overrides – by SKU, by planner, by time horizon.

How It Works

14 Days. 3 Phases. 1 Number.

Days 1–5: Decision Map

We ingest your planning data and capture every override – who changed what, when, and what happened after.

Days 6–10: Value Scoring

Every override is scored against the untouched baseline. Each decision is classified as value-add, neutral, or value-destroy.

Day 14: Executive Readout

A CFO-grade report showing total trapped working capital, the override patterns driving it, and a governance blueprint for which decisions to keep human, which to automate, and which to eliminate.

Guarantee

Full Refund

If We Find Nothing.

If the 14-day diagnostic identifies no measurable value leakage, you pay zero. This has never happened. The data always shows the problem.

30-Minute Executive Working Capital Review

A focused scoping call to determine whether your planning data can reveal trapped working capital – and estimate the range before we start. 

We'll cover:

• Data availability and format

• SKU-location scope for the diagnostic

• Estimated working capital release range

Full refund guarantee

14-day turnaround

No platform to buy

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SKU Count Range
<1,000
1,000 - 5,000
5,000 - 10,000
10,000+

What Trapped Working Capital Looks Like

Monthly Shipments
x Accuracy Improvement
= Inventory Release Range

For example, if you ship:

$250M per month

And plannning accuracy improves by:

3%

Inventory release range:

~$7M

At 9% that's

~$22M

In live enterprise deployments, scoring and governing override decisions has delivered 3–9% measurable accuracy improvement. Your number is in that range. The audit finds it in 14 days.

In live enterprise deployments:

60-95%

of system forecasts are manually overridden.

The process exists to apply judgment. But judgment applied without measurement is just opinion with a budget.

~50%

of those adjustments destroy value. 

They add bias, increase error, and inflate inventory, without improving service levels. The root cause isn't the planning system. It's unmeasured decision quality.

0%

of enterprises measure the financial impact. 

Every cycle that passes without scoring compounds the leakage. More planners don't fix this. Better tools don't fix this. Governance fixes this.

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