SYSTEM 01Demand & Inventory OSHERO METRIC — DAYS-OF-COVER ACCURACYSYSTEM 02Advertising IntelligenceHERO METRIC — TACOS VS TARGETSYSTEM 03Listing & ConversionHERO METRIC — CVR DELTASYSTEM 04Profit & Pricing EngineHERO METRIC — CONTRIBUTION MARGIN Δ
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System 01 — intelligence

FBA Amazon Inventory Forecasting

East Star's Demand & Inventory OS forecasts demand by SKU, sets reorder points, and plans POs around supplier lead times to avoid stockouts, excess inventory, and costly last-minute reorders.
Days-of-cover accuracy: 96.1%, Trailing: 90 days.

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Demand & inventory — live view
Days of cover — portfolio42 −6 days vs last week
  • AQ-FILTER-2042DRunning
  • AQ-HEATER-50W19DReorder
  • AQ-PUMP-30058DRunning
AS OF 06 JUL 2026 09:14:07 UTC · SOURCE: SP-APINEUTRAL FLASH = VALUE CHANGED

What it replaces

Gut-Reactive Inventory Planning

When Amazon inventory planning relies on spreadsheets and occasional checks, demand can change before the next reorder. This can lead to excess stock or costly shortages.

WEEKLY EXPORTSUPPLIER WHATSAPPGUT FEELSPREADSHEETSTOCKOUTDISCOVERED AT ZEROAIR FREIGHTRESCUE AT 4× COSTMARGIN HITABSORBED, UNMEASUREDTHE LOOP REPEATS QUARTERLY
Before — Reactive Inventory Pipeline

Stock problems often surface when it's too late. Expedited shipping eats into margins, while the same forecasting gaps leave the business exposed to another stockout.

After — Amazon Replenishment Planning

Use Amazon demand forecasting, supplier lead times, and reorder points to flag stock risks earlier. A team member reviews the recommendation before an order is placed.

Amazon Safety Stock Planning

How East Star Plans Inventory

SALES VELOCITYLEAD-TIMEVARIANCEFORECASTDAILY · PER SKUREORDER POINTRULE: ≤21D COVERCOVER ≤ 21D?HOLDRECHECK TOMORROWNYHUMAN APPROVALOWNER: FORECASTINGLEADPO ISSUEDAUTOMATED · 38/WKSCORECARDFORECAST VS ACTUAL · PUBLISHED
01

Demand is forecast for each SKU daily, keeping replenishment plans aligned with sales trends and changing demand.

02

Amazon supplier lead time planning and delivery delays are factored into reorder calculations, helping flag stock risks before they become stockouts.

03

Every hold or change is logged with a reason, creating a clear record of inventory decisions and forecast accuracy.

Amazon Inventory Forecasting

What The Machine Runs.
What It Never Will.

Automated
  • Forecast refresh DAILY, PER SKU
  • Reorder-point math 96 SKUS
  • PO issuance after approval 38 POS/WK
  • Aging-stock alerts ≤15 MIN
Human-decided
  • Approval of every PO NAMED OWNER
  • Supplier changes and cash trade-offs
  • New-launch forecasts FIRST 90 DAYS MANUAL
  • Override of any rule, any time LOGGED
Automation coverage — this system
0%

Typical results — 2026 cohort, installed ≥2 quarters

Measured On Real Numbers.

Days-of-cover accuracy0%Trailing 90d · portfolio
Stockout days−0%First 2 quarters · median
Capital parked in overstock−0%Vs onboarding baseline
POs issued without drafting0/wkCurrent run rate
Stockout days per quarter — median client
31
11
5
Before installQ1 installedQ2 installed
Source: client scorecards · N=27 · 2025 cohort
Constraint

New launches run manual for the first 90 days. No sales history means no forecast worth automating — we say so up front, and the scorecard shows the difference.

OPS / FULFILLMENT / 04
Related case — FBA · US · 8-fig

+31% contribution margin in 2 quarters

The demand system replaced reactive reordering; the margin came from air freight that never got booked.

Read the system

Know How Accurate Your Inventory Forecasts Are

A systems audit can compare past forecasts with actual demand to show where your inventory planning is accurate and where it needs improvement.

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