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Dmslog.AI

The startup offers AI-driven solutions that optimize port terminal operations by enhancing container, vehicle, and bulk cargo management. Their technology minimizes congestion and emissions, leading to improved efficiency and sustainability in logistics.

Marseille, FranceFounded 202013700+ followers
Updated 4 months ago

Funding

$660K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Port terminals face challenges in optimizing operations, leading to congestion, increased emissions, and inefficiencies in container, vehicle, and cargo management. Traditional methods often lack the real-time insights needed to proactively address bottlenecks and improve overall terminal performance.

Solution

DMSLOG.Ai offers AI-powered solutions that transform container terminals into smart ports by leveraging machine learning and digital twin technology. The platform analyzes terminal data to provide predictions and optimize operations, decongest gates, and decarbonize port activities. DMSLOG.Ai's plug-and-play AI products, including a Vehicle Booking System, Resource Planner, and Stacking/Transshipment Strategy tools, integrate with existing TOS, GOS, TMS, and ERP systems. The company also provides IT, consulting, and project management services to support the deployment and integration of its AI solutions.

Target Audience

DMSLOG.Ai primarily targets container terminals, shipowners, transporters, freight forwarders, and other logistics customers seeking to optimize their operations, reduce congestion, and decrease their carbon footprint.

Features

  • Vehicle Booking System: Reduces traffic congestion at terminal gates by up to 60% using AI-driven appointment scheduling.
  • Resource Planner: Optimizes the allocation of machines and dockers, reducing excess recruitment by up to 15%.
  • Stacking Import Strategy: Minimizes unproductive container moves by up to 45% through AI-optimized stacking strategies.
  • Transshipment Strategy: Reduces unproductive moves during transshipment operations by up to 15%.
  • Carbon Footprint Monitor: Calculates and monitors terminal CO2 emissions to support decarbonization efforts.
  • Data Services: Includes AI readiness audits, data architecture conception, data warehouse realization, and API creation.
  • Cybersecurity: Offers cybersecurity and cyberdefense solutions to protect sensitive terminal operating system (TOS) and gate operating system (GOS) information.
  • API Binding: TOS/GOS API binding to send and inject direct instructions to your softwares
This profile is AI-generated and may contain inaccuracies.