Uber Freight Names Amir Pelleg Chief Product Officer to Advance AI Logistics Strategy

Uber Freight has appointed logistics technology executive Amir Pelleg as Chief Product Officer, adding a veteran product leader as the company expands its artificial intelligence capabilities across transportation management, according to a report by FreightWaves. 

The appointment comes as enterprise logistics providers increasingly use AI to improve visibility across fragmented supply chains, automate operational decisions, and help shippers respond more quickly to disruptions.

Uber Freight said Pelleg's experience leading product, engineering, and operations teams will support its efforts to simplify transportation management through technology.

Before joining Uber Freight, Pelleg held executive leadership roles at Amazon, Convoy, and Dandy, bringing more than 25 years of experience building technology products. The company said the appointment reflects continued investment in technology that enables customers to make faster decisions while reducing supply chain complexity.

According to a blog post announcing his appointment, Pelleg said transportation and logistics are entering a period where AI can address longstanding operational challenges by connecting information spread across disconnected systems.

AI Focus Shifts to Connected Transportation Data

Rather than positioning AI as another layer of automation, Pelleg identified fragmented transportation data as one of the industry's biggest challenges. He said logistics organizations often manage information across separate systems and organizational silos, limiting their ability to gain a complete view of operations.

"The opportunity isn't simply more technology but in the ability to turn fragmented data into a single, proactive network view," Pelleg said in the company blog.

He also said product development should begin with customer problems instead of emerging technology, adding that the best products address operational bottlenecks and unnecessary complexity before introducing new capabilities.

The comments align with a broader trend across enterprise logistics, where AI deployments increasingly focus on improving planning, shipment visibility, predictive decision-making, and operational resilience rather than replacing existing workflows.

Uber Freight has gradually expanded beyond its origins as a digital freight marketplace into a broader transportation management platform serving enterprise customers. The company combines transportation management software with brokerage services, a strategy that has evolved since its acquisition of Transplace in 2021.

As enterprise AI adoption expands across industries, organizations are increasingly focusing on using AI to improve operational decision-making with business data rather than deploying standalone generative AI applications. 

Product Leadership Becomes Central to Enterprise AI Execution

Pelleg said Uber Freight's combination of transportation management capabilities, brokerage services, engineering expertise, and operational knowledge positions the company to help customers manage freight networks more proactively.

His appointment also reflects a broader pattern in enterprise software, where companies are strengthening product leadership as AI capabilities become embedded into core business platforms. Rather than treating AI as a standalone product, organizations are increasingly integrating it into existing operational workflows and customer-facing software.

The logistics sector has become an active area for enterprise AI investment as transportation providers seek to improve forecasting, optimize freight movements, and reduce manual decision-making across increasingly complex supply chains.

That trend has also been reflected across enterprise software, where AI platforms are increasingly designed to unify operational data before generating recommendations, an approach that continues to shape enterprise AI deployments across industries. 

Uber Freight has not announced any new AI products alongside Pelleg's appointment, but his comments suggest the company's product strategy will continue focusing on helping customers transform fragmented transportation data into operational intelligence that supports faster and more confident decision-making.