Logistics · Machine learning · Computer vision

Intelligence for
the road ahead.

Exploring smarter routes for heavy vehicles — and a new way to turn everyday road journeys into useful infrastructure insights.

Explore the vision See our roadmap
Idea stageFrom a logistics challenge to a software concept.
HEAVY VEHICLE ROUTINGCONCEPT / 01
Height restriction A route that fits the loadVehicle-aware planning ORIGINDESTINATION
Illustrative concept only · No live routing service is available yet.
Built around the realities of heavy transport.SMART ROUTINGROAD INTELLIGENCECONNECTED DEVICES
01 / Our focus

Two connected ideas.
One road ahead.

We are at the beginning: defining the problems, exploring the technology, and planning a first prototype. These are our intended directions.

FIRST PROTOTYPE DIRECTIONPLANNED

Smarter routing for bigger loads.

We aim to explore route planning for trucks and lowbed trailers, considering vehicle and load characteristics rather than distance alone.

LOAD PROFILE VEHICLE + LOAD + ROUTE / CONCEPT
Heavy vehiclesLowbed trailersRoute constraints
LONGER-TERM DIRECTIONPLANNED

See the road. Surface the problem.

Our longer-term idea is a vehicle-mounted IoT device that uses real-time computer vision to detect road defects and send useful reports to the relevant municipalities.

Road defect / concept CAPTURE → DETECT → REPORT / CONCEPT
Computer visionIoTMunicipal road reports
02 / The roadmap

Starting small.
Building with purpose.

Our next step is to turn the routing idea into a focused prototype. The road-vision device is a later ambition, not an existing product.

01

Define the first use case.

Clarify the heavy-vehicle routing problem, the constraints that matter, and the scope of an initial prototype.

Current stage: idea
02

Build a routing prototype.

Use Claude to support software development, technical design, and prototyping as we explore the first implementation.

Next / planned
03

Explore road intelligence.

Investigate a connected device and computer-vision workflow for detecting road defects and preparing municipal reports.

Longer term / planned
03 / About BLOEAS

A software vision with
roots in logistics.

BLOEAS is a new software initiative planned within the existing family business, Erdoğan Kardeşler Nakliyat. Led by Doğukan Erdoğan, it brings together an interest in logistics software, machine learning, and computer vision.

We are currently at the idea stage, with no working product available yet. Our focus is on shaping a practical first prototype and learning through development.

Founder / DeveloperDoğukan Erdoğan
Based inTürkiye
FocusLogistics software, machine learning & computer vision
StageIdea & prototype planning

Let’s talk about the road ahead.

Interested in the idea, a logistics challenge, or a potential technical collaboration? Get in touch.

[email protected] ↗