> SYSTEM: ONLINE // IZZET CAN OZBAS (İZZET CAN ÖZBAŞ)

COGNITIVE LOGISTICS
FOR READINESS.

> OUTPUT: Auditable Readiness Decisions

Turning support data into auditable readiness decisions.

Uncertainty-aware planning for sustainment systems that operate in the real world, not just in ideal models.

TAIL RISK QUANTIFIED
AUDIT TRAIL DEFINED
SCENARIO DYNAMIC

Core Architecture

> THE_DECISION_LAYER

Bridging the "Missing Middle"

RAW DATA UNCERTAINTY MODEL DECISION

Compliance produces data. Readiness needs decisions. Most organizations are data-rich but decision-poor. The objective: Bridging the gap between raw support data and operational reality.

DATA BRIDGE UNCERTAINTY-AWARE AUDITABLE

System Capabilities

Smart Triage Architecture

A holistic decision support framework utilizing MRO analytics to maximize Operational Availability (Ao) under constraints.

OPTIMIZATION UNCERTAINTY-AWARE READINESS DECISIONS
Demand Forecasting

Forecasting demand in defense logistics. Deploying a multi-architecture strategy to detect sparse patterns where standard averages fail.

SPARSE DEMAND UNCERTAINTY-AWARE AUDITABLE

Latest Intelligence

VIEW ARCHIVE →
The Hidden Bill of AOG : Why Integrated Logistics Support is a Decision System LATEST LOG

When parts exist but aircraft sit on the ground, the problem is rarely logistics. It is the decision layer. Here is how Integrated Logistics Support (ILS) connects data to actual readiness.

ILS IPS AOG