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🛒 E-commerce & Pricing

Build a Delivery Promise From Handling, Transit and Risk

Add operational and risk days before advertising an arrival promise.

days
days
days
days

Conservative promise window

Inputs modeled

4

10% more first input

Processing

Browser only

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How the calculation works

Observed inputsYour own periodTransparent formulaEditable assumptionsDecision outputConservative promise windowCompare like-for-like periods before acting on the result.

How to Use This Tool

Add operational and risk days before advertising an arrival promise. Quoting carrier transit alone silently drops warehouse handling, weekends and normal variance.

Why Delivery Promise needs more than a raw total

A visible risk buffer makes the service promise adjustable rather than burying optimism in one average. For this page, the useful comparison is conservative promise window, not whichever input happens to be largest. The Delivery Promise result answers the decision in the heading and should not be reused as a score for a different workflow.

Entered Handling timeSame input plus 10%compare
Delivery Promise changes handling time alone for the secondary result, leaving every other entered value fixed.

The exact Delivery Promise formula

Promise days equal handling plus carrier transit plus non-working days plus risk buffer. The visible fields are Handling time, Carrier transit, Non-working days crossed and Risk buffer. For Delivery Promise, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed conservative promise window may be arithmetically valid but operationally meaningless.

Interpreting conservative promise window

Set customer messaging from a reliable percentile and monitor actual on-time delivery against the promise. The ten-percent comparison is deliberately narrow: it tests the influence of handling time and is neither a forecast nor a confidence interval. Preserve the values used, their dates and the resulting decision so a later reviewer can reproduce why Delivery Promise supported the choice.

What this Delivery Promise model leaves out

Calendar dates, holidays, customs and zone-specific cutoff times require separate scheduling logic. That is where Delivery Promise stops being trustworthy. If an excluded factor could reverse conservative promise window, extend the model explicitly or use the authoritative account system instead of hiding the factor inside an unexplained adjustment.

Evidence and independent verification

The reference reviewed for Delivery Promise is FTC — Mail, Internet, or Telephone Order Rule. FTC — Mail, Internet, or Telephone Order Rule supports the named definition or rule but does not supply private values for conservative promise window. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.

Private, reproducible calculation

Delivery Promise runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Delivery Promise inputs away from the site's calculation server, while leaving the user responsible for detecting stale data or a changed platform rule. When an assumption changes, reopen FTC — Mail, Internet, or Telephone Order Rule and rerun the saved Delivery Promise scenario.

Sources & assumptions

Tool Spec v2 · verified 2026-08-20. Platform rules and fees can change; the editable inputs remain authoritative for your account.

Official references

Model assumptions

  • Every input covers the same reporting period or cohort.
  • Calendar dates, holidays, customs and zone-specific cutoff times require separate scheduling logic.
  • The calculator uses only the visible fields and does not fetch account data.
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Frequently Asked Questions

What exactly does Delivery Promise return?
Delivery Promise returns conservative promise window from the displayed formula: Promise days equal handling plus carrier transit plus non-working days plus risk buffer. No hidden account field participates in this result.
Which input should I verify first for Delivery Promise?
Start Delivery Promise with Handling time. Quoting carrier transit alone silently drops warehouse handling, weekends and normal variance. Confirm the remaining Delivery Promise fields use the same scope and reporting window.
What does the Handling time sensitivity result mean?
It raises handling time by ten percent while holding the other fields fixed. Set customer messaging from a reliable percentile and monitor actual on-time delivery against the promise. It is not a probability or forecast.
When should I reject the Delivery Promise result?
Reject or extend the model when this limitation matters: Calendar dates, holidays, customs and zone-specific cutoff times require separate scheduling logic.
Which evidence was reviewed for Delivery Promise?
Delivery Promise cites FTC — Mail, Internet, or Telephone Order Rule for the current definition; use your own source system for the account-specific values behind conservative promise window.
Where does Delivery Promise process my inputs?
The calculation for conservative promise window runs in browser JavaScript and requests no account credential or calculation API.

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