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A forklift moves a bright orange shipping container in a port yard, surrounded by colorful stacks of containers under a blue sky with clouds.

Reform Launches AI-Driven Freight Automation Platform

Reform, founded by aerospace engineer Omar, simplifies freight automation with AI tools real teams can trust—no code required.

Reform, a freight automation startup founded by aerospace and computer science professional Omar, is introducing a practical approach to streamlining logistics operations. Designed to replace inefficient legacy systems, Reform enables teams to automate routine tasks and manage data workflows without coding experience.

Addressing Freight Industry Challenges

Legacy systems in logistics often create inefficiencies through fragmented tools, manual data entry, and limited visibility. Reform’s platform consolidates these functions into a single, team-managed solution. The goal is to reduce errors, increase speed, and give operators greater control over day-to-day processes.

Key Features

  • Natural Language Automation: Teams can describe tasks in plain language to set up workflows.
  • Human-in-the-Loop Oversight: Staff review and approve AI-generated outputs, maintaining quality control.
  • Pilot-Based Implementation: Reform begins with a small-scale rollout, allowing teams to assess impact before full adoption.
  • No-Code Interface: Designed to be accessible for non-technical users.

Global Adoption

Reform is currently operating across North America, Latin America, and Europe. Its model is designed to be flexible across regions, with the core aim of reducing operational friction while improving accuracy and responsiveness in freight handling.

Industry Outlook

As logistics providers increasingly seek to modernize operations, platforms like Reform demonstrate a shift toward user-friendly automation tools that prioritize transparency, data integrity, and usability.

Reform positions itself as part of a broader movement to equip freight professionals with technology that supports scalable, day-to-day improvements.


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