RESEARCH / AI IN LOGISTICS
AI in Logistics: What the Research Shows
Where AI Is Already Producing Measurable Results
AI in logistics is moving beyond experimentation. McKinsey reports that early adopters of AI-enabled supply-chain management have achieved 15% lower logistics costs, 35% lower inventory levels, and 65% higher service levelscompared with slower-moving competitors.
MIT Sloan also reports that U.S. trucks travel roughly 30% of their miles empty, while machine-learning routing used by Uber Freight has reduced empty miles to approximately 10–15%.
DHL has documented similar operational gains: its AI transportation-routing technology has delivered 4–6% cost savingsand has the potential to reduce daily dispatching time by 80%.
Sources: McKinsey & Company research · MIT Sloan research · DHL AI supply-chain research
AI IN LOGISTICS: BY THE NUMBERS
What AI Research Shows in Logistics and Freight
AI is already producing measurable results in logistics, freight, routing, sorting, and supply chain operations. The figures below come from McKinsey, MIT Sloan, and DHL.
15%
Lower Logistics Costs
McKinsey reports that early adopters that successfully implemented AI-enabled supply chain management improved logistics costs by 15%, inventory levels by 35%, and service levels by 65% compared with slower-moving competitors.
30% → 10% to 15%
Empty Truck Miles
MIT Sloan reports that trucks in the United States operate about 30% empty on average. Uber Freight has used machine learning and algorithmic vehicle routing to reduce empty miles to approximately 10% to 15%.
1,000+
Parcels Sorted Per Hour
DHL reports that its AI-powered DHLBots can sort more than 1,000 small parcels per hour with 99% accuracy. DHL states that AI-powered sorting robots can increase sorting capacity by about 40% or more.
41%
Higher Sorting Efficiency
DHL Express reported that an AI-powered Dorabot deployed at its Gangbuk Service Center in South Korea increased sorting efficiency by 41%. The system can process more than 1,000 small parcels per hour and was expected to sort with 99% accuracy.
80%
Higher Labor Efficiency in a DHL Sorting Application
DHL eCommerce Solutions reported that its Sort-to-Bag robotic sorting system in Atlanta produced an 80% increase in labor efficiency. The system can process more than 1,000 parcels per hour and distribute them across 80 final-mile ZIP code destinations.
73%
Expect Greater Reliance on AI
In DHL Supply Chain’s 2025 Insight 2030 survey, 73% of participants said they expect their supply chains to become more reliant on artificial intelligence over the next five years. Another 68% expected greater reliance on robotics.
The survey included 350 North American supply chain executives and C-level business leaders.
What These Numbers Mean for Logistics Companies
These studies do not mean every logistics company will achieve the same results. They show that AI can create measurable value when applied to the right operational problem. Common opportunities include freight routing, dispatch optimization, demand forecasting, document processing, warehouse sorting, customer communication, inventory planning, and repetitive administrative workflows.
Triaium evaluates the business case before recommending technology. The goal is to identify where AI can reduce cost, improve efficiency, or increase service performance, and where the investment is unlikely to produce enough return.
WHERE TO LOOK /
Where AI Can Create Value in Logistics and Freight
Routing & Dispatch Optimization
AI can analyze routes, delivery constraints, traffic patterns, capacity, and historical performance to support more efficient dispatch and transportation planning.
Freight & Load Planning
Machine learning can help identify better load combinations, capacity utilization opportunities, and patterns that contribute to empty miles or inefficient movements.
Demand Forecasting
AI forecasting can analyze historical demand, seasonality, customer behavior, and operational data to help logistics teams anticipate volume and allocate resources.
Documents & Back-Office Work
AI can assist with bills of lading, invoices, proof-of-delivery documents, data entry, document classification, and other repetitive administrative workflows.
Warehouse Operations
AI and automation can support sorting, inventory planning, picking workflows, labor allocation, and other high-volume warehouse processes.
Customer Service & Shipment Updates
AI can help teams handle repetitive shipment questions, retrieve order information, summarize issues, and assist employees with customer communications.
WHAT COULD AI DO FOR YOUR OPERATION?
Find the AI Opportunities Worth Pursuing
The results above show what AI can accomplish in logistics and freight, but they do not mean every technology or use case will make sense for your operation.
Triaium’s researchers evaluate your workflows, operating costs, bottlenecks, and existing technology to identify where AI could create measurable value. We examine opportunities across routing, dispatch, freight operations, document processing, customer service, forecasting, warehouse operations, and administrative work.
We then evaluate the potential savings, implementation requirements, risks, and expected return before recommending an investment. If the numbers do not justify AI, we tell you that too.