VesselBot-Enabling Sustainable Supply Chains Tech Stack

AI-powered emissions measurement and optimization for multimodal logistics

Software Development Marousi, Attiki 11–50 employees Founded 2015 Privately Held

VesselBot operates a data-heavy logistics platform built on Python, Celery, RabbitMQ, and Airflow—a classical async task-processing stack suited to real-time emissions calculation across shipping networks. The company is actively modernizing its codebase and deploying on-premise agent infrastructure, while hiring leans heavily toward senior data and engineering roles, indicating a shift from manual analytics toward embedded AI optimization across supply chains.

Tech Stack 10 technologies

Core StackPython Celery RabbitMQ Redis Apache Airflow Django Flask FastAPI Docker Git

What VesselBot-Enabling Sustainable Supply Chains Is Building

◆Challenges

Modernizing legacy systems
Complex multimodal supply chain environments
On-premise reliability and security
Improving system scalability
Complex multimodal supply chain integration
Data cleaning and collection

▲Active Projects

Logistics data platform
Intelligent on-premise agents for logistics and sustainability
Scalable data pipelines for logistics and sustainability
Real-time monitoring apis for intelligent agents
Modernizing legacy codebase
Reusable framework for agent deployment

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Sales

Data

Engineering

Seniority

Senior

Junior

Company intelligence

Find more companies like VesselBot-Enabling Sustainable Supply Chains by tech stack, pain points and active projects

Get started free

About VesselBot-Enabling Sustainable Supply Chains

VesselBot provides emissions measurement and logistics optimization software for shippers and freight forwarders. The platform calculates transportation carbon footprint across multimodal networks (trucks, ships, rail) and surfaces cost and emissions reduction opportunities for procurement, planning, and network design. Founded in 2015 and based in Greece, the company operates at 11–50 employees with customers spanning Fortune 500 enterprises. The product integrates geospatial and weather data to improve accuracy of scope 3 emissions reporting and operational performance.

HeadquartersMarousi, Attiki

Company Size11–50 employees

Founded2015

Hiring MarketsGreece

Frequently Asked Questions

What tech stack does VesselBot use?

Python, Celery, RabbitMQ, Redis, Apache Airflow, Django, Flask, FastAPI, and Docker. The stack reflects a distributed async task-processing architecture for real-time logistics data handling.

What is VesselBot working on?

A logistics data platform with on-premise intelligent agents, scalable data pipelines for emissions and sustainability metrics, real-time monitoring APIs, and a reusable framework for agent deployment. Modernization of legacy systems is underway.