Alef

The Autonomous
Operating System
for Consumer Brands.

  1. One live model of every channel, SKU and signal.

  2. Futures simulated and scored before they happen.

  3. Execute across systems and physical operations.

  4. Every result tunes the next decision.

01 / The living twin

The whole business, in one living model.

Branches Suppliers Production Distribution Customers
Kitchen
Batch06:00
Output96%
Dispatch22 branches
Branch object Khalda
StatusLive
Demand+18.4%
Stock cover4.2 days
Waste4.8%
Next order06:00
Weather31° clear
App orders+6%
Truck 04
RouteDC → Khalda
ETA22 min
22 branches · 214 SKUs · 41 suppliers · updated 2s ago
02 / Decide

Tomorrow, simulated before it happens.

Khalda · stockout in 19h
1 anomaly detected · simulating responses
02 / Decide

Tomorrow, simulated before it happens.

Scenario A Hold plan
Availability82%
Waste3.1%
Scenario B Rebalance + batch
Availability96%
Waste4.8%
Scenario C Overproduce
Availability97%
Waste9.2%
Khalda · stockout in 19h
3 futures simulated · scoring availability against waste
02 / Decide

Tomorrow, simulated before it happens.

Scenario A Hold plan
Availability82%
Waste3.1%
Selected
Scenario B Rebalance + batch
Availability96%
Waste4.8%
Scenario C Overproduce
Availability97%
Waste9.2%
+1 batch · 06:00
340 units
Khalda · restock lands 09:00
Alef decision
Redirect 340 units DC → Khalda · dispatch 05:30
Add kitchen batch 06:00 · +180 units
4 actions → agents
Decision locked · 96% availability projected · waste held at 4.8%
03 / Act

The decision executes itself.

Khalda · +340 units inbound
Batch running · 82%
PO #4821 · picked ✓
En route · 22 min
Execution log Live
05:30 Allocation
340 units reserved · in ERP
06:00 Kitchen
Batch started · 180 units · in kitchen screens
06:18 Logistics 18%
Truck en route · ETA 22 min · in fleet app
--:-- Retail Queued · POS
Agents executing across POS, ERP and fleet · 3 of 4 done
04 / Learn

It gets better every week.

Waste 20% → 5%
Waste12 weeks

20% → 5%

Ordering matched to real demand, branch by branch.

Stockouts −70%
Stockouts12 weeks

70%

Shelves hold what customers actually came for.

Learning curve 12 weeks

The gap between forecast and reality is waste and stockouts.

Forecast error12 weeks

12% → 3%

The gap between plan and reality is what costs money.

Returning 58% → 74%
Returning customers12 weeks

58% → 74%

In stock, on time — so they come back next week.

Every curve is the same loop, compounding weekly