01 // Operations Dashboard
LIVE INTERACTIVE FORECASTING SANDBOX — RECORD TRANSACTIONS TO RECALCULATE 30-DAY VELOCITY
TOTAL PRODUCTS
0
ACTIVE CATALOG
TOTAL PHYSICAL UNITS
0
IN WAREHOUSE
CRITICAL (< 7 DAYS LEFT)
0
30D VELOCITY ALERT
30D OUTGOING VOLUME
0
UNITS DISPATCHED
ESTIMATED DAYS OF STOCK REMAINING (BY PRODUCT)
RED = < 7 DAYS ALERT THRESHOLDRECENT LEDGER TRANSACTIONS
| Timestamp | SKU | Product | Type | Qty | Note |
|---|
ACTIVE INVENTORY CATALOG
| SKU | Product Name | Category | Current Stock | Min Threshold | 30d Consumed | Status |
|---|
RECORD STOCK TRANSACTION
HOW TRANSACTIONS AFFECT FORECASTS
Every STOCK OUT transaction both reduces physical stock and increases the product's 30-day outgoing consumption total (consumed_30d).
Prediction Engine Formula (
app/prediction_engine.py):1.
avg_daily = total_out_last_30_days / 302.
days_remaining = current_quantity / avg_daily3.
if days_remaining < 7: trigger LOW_STOCK AlertTry recording a STOCK OUT of 45 units on Laptop Pro x1 or Wireless Mouse and watch it immediately drop below 7 days and trigger an alert!
30-DAY ROLLING STOCKOUT FORECAST ENGINE
Uses the last 30 days of
Uses the last 30 days of
OUT transactions to compute average daily burn rate (consumed_30d / 30) and project exact depletion dates.
RESTOCK PRIORITIZATION LEDGER (SORTED BY URGENCY)
| SKU | Product | Current Stock | 30d Outgoing | Avg Daily Burn | Est. Days Remaining | Projected Stockout | Forecast Status |
|---|
ACTIVE LOW-STOCK & STOCKOUT ALERTS (< 7 DAYS REMAINING)
| Severity | SKU | Product | Alert Message | Quick Action |
|---|