Can Uber Freight Simplify Logistics Procurement with AI?

Uber Freight is making freight procurement faster, clearer and more reliable for logistics professionals.

Its latest updates bring AI tools, financial visibility and smarter scheduling into the process, giving procurement teams the control they need to make confident decisions in a complex supply chain landscape.

The company updates its transportation management system (TMS) to improve how shippers manage freight contracts, accounts and carrier performance. These changes are helping logistics teams cut errors, improve payment cycles and respond to change more effectively.

"From procurement to payment, shippers face constant complexity across the freight lifecycle," explains Steve Barber, Vice President of Product at Uber Freight.

"Through continued investment in platform innovation, Uber Freight delivers the tools, automations, and integrations that simplify the work and unlock meaningful outcomes such as faster decisions, smarter cost control and more resilient supply chains.”

Bringing clarity to freight finances

Uber Freight's procurement overhaul starts with TMS Financials, its modernised freight finance tool. This lets shippers take control of their entire order-to-cash cycle in one place, eliminating the need for fragmented systems and manual handovers.

Instead of managing invoices and contracts across separate platforms, procurement teams now access a single view of their accounts receivable (AR) and accounts payable (AP). This gives them a clearer picture of how much is owed to them, how much they owe and where gaps may exist.

By giving users better insight into their freight spend and vendor relationships, the platform reduces the chances of disputes and shortens resolution times by up to 20%. Carriers benefit from more efficient payment cycles and shippers face fewer delays caused by missing or incorrect data.

Operators can now manage the full procurement journey, from selecting a carrier through to final invoicing, without jumping between tools or chasing down figures.

Automating tasks to reduce errors

AI features sit at the centre of Uber Freight’s TMS update. These capabilities are not just cosmetic – they help logistics teams handle critical tasks faster and with fewer mistakes.

Using AI, the platform automates repetitive processes like scheduling, ETA tracking and error correction. Agentic AI, describing autonomous systems capable of acting on information without human input, plays a key role here.

Automated scheduling alone cuts appointment times by 38% and reduces costly reschedules by 33%. Overdue shipment statuses drop by 15 percent, with delay durations cut by nearly 80% thanks to more accurate tracking of carrier arrival and departure times. The system even detects and fixes PRO number errors – codes used for tracking freight – helping prevent delays and incorrect delivery updates.

These enhancements give teams more time to focus on broader freight strategies and customer priorities, while avoiding the manual work that often leads to mistakes and added costs.

The AI tools also provide proactive recommendations for procurement decisions, giving teams the insight they need to plan ahead and reduce risk in volatile freight markets.

Smarter decisions through real-time comparison

Uber Freight Exchange, the platform’s contract freight procurement hub, gives logistics professionals a new way to test strategies before committing to them. Instead of spending weeks building manual spreadsheets, users can run side-by-side comparisons in real time.

Scenario analysis tools help teams evaluate different pricing options, carrier services and performance metrics, allowing for stronger network design and cost control. This means more accurate forecasting and better alignment with wider business goals.

By creating a closed loop between procurement planning, bidding and execution, Uber Freight reduces the need for third-party intervention. This makes it easier for shippers to manage procurement on their own terms, with a clear link between planning and action.

The ultimate goal is to create a unified freight logistics system – one that connects automation, intelligence and human decision-making. With this model, Uber Freight aims to give users a complete view of the freight lifecycle, from carrier selection to final payment.

The platform’s ecosystem approach is designed to help procurement teams meet fluctuating supply chain demands while building more resilient freight networks.

By allowing teams to respond faster and plan smarter, Uber Freight is helping shippers stay ahead in a complex and competitive logistics environment.