Uber Freight has launched the logistics industry's first large-scale AI logistics network, powered by a proprietary logistics-specific large language model
Uber Freight is transforming how shippers of all sizes manage transportation by making AI central to decision-making, execution speed and operational performance.
The industry's first scaled AI logistics network will be powered by the company's proprietary logistics-specific large language model (LLM) and embedded directly into its transportation management system (TMS) and logistics platform.
"This is the inflection point we've been building toward," says Lior Ron, Founder and CEO of Uber Freight.
"With the launch of our AI logistics network and reimagined TMS, we're not just automating tasks—we're enabling a new level of agility, foresight, and competitive advantage for our customers."
The year of advanced AI integration
This year has already been a significant one for Uber Freight. By the end of 2025, it hopes to further enhance its TMS through the integration of Insight AI and its agent ecosystem.
The TMS is set to evolve beyond a system of record to become a real-time logistics command centre that proactively guides users of all sizes with intelligence and automated repetitive tasks.
It will also bring to market more than 30 AI agents as part of its logistics platform's latest advancements, automating execution across the shipment lifecycle, while Insights AI delivers always-on recommendations to help shippers using the TMS to proactively navigate disruption, reduce cost and improve service across their networks.
Uber Freight's logistics infrastructure has seen more than US$1.6bn in freight move through it, with five enterprises enjoying early access to test and validate the technology.
Trained on real logistics data from nearly US$20bn in freight under management – including 30% of the Fortune 500 – Uber Freight's LLM unlocks deep operational context and delivers not just answers, but actionable recommendations grounded in real-world complexity.
Colgate-Palmolive reimagines operations
A flagship partner in Uber Freight's Design Partners Programme, Colgate-Palmolive – a global leader in consumer packaged goods – has been using Insights AI in partnership with Uber Freight's transportation management teams for the past year.
The result has been transformative improvements in logistics intelligence and operational decision-making.
Tatiana Martinez, Vice President, North America Customer Service & Logistics, North America at Colgate-Palmolive, says: "Colgate-Palmolive is a caring, innovative growth company that is reimagining a healthier future for all. We advance our purpose by selling our essential health and hygiene products in more than 200 countries and territories, with a global supply chain to support this reach.
"With the scale and complexity of our operations, the collaboration with Uber Freight on Insights AI has helped empower our team to access timely information, analyse our network, and make strategic decisions that drive faster growth.
"Insights AI has helped us plan with greater confidence and respond more effectively to disruptions, all in service of our ongoing commitment to customer centricity and operational efficiency."
Through the use of Insights in Colgate-Palmolive's day-to-day efforts, the company's logistics team now receives recommendations that optimise cost, mitigate disruption and streamline decision-making at a global scale—demonstrating how AI can deliver immediate value to the most complex supply chains.
From insight to action: AI agents automate execution
These AI automations are helping logistics teams to focus on the more strategic priorities such as exception management, cost control and network optimisation, as the Insights AI equips shippers with proactive intelligence, Uber Freight's 30+ AI agents automate critical tasks across the end-to-end shipment lifecycle. These agents now manage procurement, execution, tracking, payments and analytics.
Raj Subbiah, Chief Product Officer of Uber Freight, adds: "Logistics is one of the most complex, data-rich industries on Earth and it demands AI that's purpose-built to understand it.
"We built a domain-specific model that thinks like a logistics expert. That foundation enables us to proactively and continuously optimise our customers' networks."
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