FUTURE OUTLOOK
Smarter, faster, still human
AI’s presence in transportation management is still emerging, but its potential impact is undeniable.
When asked where they expect AI to have the greatest effect over the next three to five years, both shippers and carriers pointed to the same destination: optimization.
When asked which areas of transportation management AI is likely to influence most over the next three to five years, 86% of shippers highlighted transportation planning and optimization, making it the leading area of expected impact. Fifty-nine percent (59%) of carriers pointed to pricing and lane optimization as the main area AI will affect.
The future of transportation will hinge on systems that continuously learn, predict and adapt in real time.
SHIPPERS
believe that in 3-5 years AI will impact transportation planning and optimization
CARRIERS & LSPs
believe that in 3-5 years AI will impact pricing and lane optimization
SHIPPERS
believe that in 3-5 years AI will impact transportation planning and optimization
CARRIERS & LSPs
believe that in 3-5 years AI will impact pricing and lane optimization
We also asked executives where they see AI having the biggest impact in transportation management moving forward.
As the comments above show, they offered a strikingly aligned view: AI will change how transportation decisions are made, how networks operate and how fast companies can adapt to change. Though their words differ—granular visibility, predictive analytics, decision-making, data insight—their vision is shared.
AI will shift transportation management from reactive firefighting to predictive precision. And rather than replacing human work, AI will amplify it, turning planners into orchestrators who guide machine-driven decisions across multiple workflows.
From static plans to continuous adaptation
SHIPPERS
Which AI capabilities would bring the most value to your transportation planning?
Real-time scenario simulation
Forecast-based planning aligned with demand variability
For shippers, the clearest opportunities lie in planning and procurement. Overall, as highlighted earlier, 86% expect AI to have a significant impact on transportation planning and optimization.
Separately, 55% identified real-time scenario simulation and 50% cited forecast-based planning as the most valuable AI-driven capabilities. Instead of static plans created at the start of a week or day, AI will enable continuous planning—systems that automatically adjust routes, modes and schedules as conditions evolve.
SHIPPERS
Which AI capabilities would bring the most value to your freight procurement?
In freight procurement, shippers identified carrier performance scoring, predictive rate trends and dynamic market benchmarking as top priorities.
These reflect a move toward data-driven freight procurement, where AI helps anticipate market swings, negotiate smarter and strengthen carrier relationships.
Predictive rate trends
Carrier performance scoring
Dynamic market benchmarking
For carriers and LSPs, the most valuable capabilities are those that drive efficiency. The top priorities identified include real-time rerouting (54%) and predictive route and load planning (53%). Real-time rerouting enables immediate adaptation to unexpected issues like traffic or delays, ensuring agile decision-making mid-trip.
Predictive route and load planning uses advanced analytics and machine learning to construct the most efficient routes and maximize cargo capacity before a journey begins. Together, these tools help LSPs make substantially better use of their existing fleets, significantly cutting down on costly empty miles and improving overall resource utilization and service reliability.
CARRIERS & LSPs
Which AI capabilities would improve route planning and fleet optimization?
Real-time rerouting based on conditions
Predictive route and load planning
The message is clear
Shippers and carriers alike see AI as a real-time decision-making engine, one that replaces static, manual processes with intelligent, adaptive execution across the network.
Assisting, not replacing
Despite all the buzz about autonomy, most transportation professionals envision a human-centered evolution, not a robotic revolution. Two-thirds of shippers and more than half of carriers see AI’s primary role as automating repetitive tasks, freeing people to focus on higher-value work.
What roles do you think AI should play in TMS in the future?
AI adoption succeeds when managers encourage and enable, not coerce. “There’s a tight space between mandating AI use and empowering employees to become creative with the tool,” said Patrick Weikle, Director, Partner Technology Strategist at Microsoft at the Transporeon Summit. Other speakers at the event also noted that AI often lifts the middle of the performance curve, turning average performers into strong ones by handling menial tasks and improving access to insights.
Only a small minority of the executives we surveyed, however, are comfortable with full automation. The majority prefer human-in-the-loop AI, where systems handle routine tasks and exceptions but humans make the final call. When it comes to user experience, most favor dashboards, embedded recommendations and proactive alerts—that is, enhancements that fit naturally into how they already work.

70% Dashboards with visual insights and alerts

56% Embedded AI suggestions within daily workflows

46% AI suggestions embedded in driver/dispatcher workflows
CARRIERS & LSPs

63% Dashboards with visual insights and alerts

43% Automated alerts or nudges from AI

39% Embedded AI suggestions within daily workflows