System 01 — intelligence
Stop buying inventoryon a guess.
The Demand & Inventory OS forecasts every SKU daily, sets reorder points with supplier variance built in, and issues POs through a named human approval gate. Days-of-cover accuracy: 96.1%, trailing 90 days.
- AQ-FILTER-2042DRunning
- AQ-HEATER-50W19DReorder
- AQ-PUMP-30058DRunning
Demonstration panel: portfolio days of cover 42, down 6 days versus last week. Three SKUs shown; one at 19 days triggers a reorder.
What it replaces
The spreadsheet was the system.
Most brands run inventory on a weekly export, a gut feeling, and a supplier WhatsApp thread. It works until the one week it doesn't.
The stockout is discovered at zero. Air freight rescues revenue and donates the margin. Every rescue is remembered as a save; none of them prevents the next one.
The reorder point triggers at ≤21 days of cover. A named human approves; the PO issues automatically; the scorecard records forecast vs. actual.
The mechanism
Drawn, because it's real.
The forecast is rebuilt daily, per SKU — not quarterly, per category.
Supplier variance is a model input, not a surprise. A supplier that slips 12 days on average widens your buffer automatically.
The road not taken is drawn. When the system holds, the hold is logged with a reason.
Automation with judgment
What the machine runs. What it never will.
- Forecast refresh DAILY, PER SKU
- Reorder-point math 96 SKUS
- PO issuance after approval 38 POS/WK
- Aging-stock alerts ≤15 MIN
- 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
Typical results — 2025 cohort, installed ≥2 quarters
Measured on 3 numbers.
Stockout days per quarter, median client: 31 before install, 11 in the first quarter installed, 5 in the second quarter.
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.
Find out what your days-of-cover accuracy is.
Most operators guess 90%. The audit measures it — median first answer: 71%.