conclusion
Outlook & Recommendations
Looking ahead three to five years, respondents generally expect automation and AI to have a positive impact on transportation planning, although organizations are at very different stages of adoption.
Some respondents acknowledged they are still early in the journey. One said, “We have very little knowledge of AI, so we need to explore it further, but we expect it will be helpful.” Another admitted, “We have no ideas at the moment.”
Most respondents, however, expect AI to automate routine planning activities while improving planning intelligence and decision-making.
Looking ahead three to five years, respondents generally expect automation and AI to have a positive impact on transportation planning, although organizations are at very different stages of adoption.
Some respondents acknowledged they are still early in the journey. One said, “We have very little knowledge of AI, so we need to explore it further, but we expect it will be helpful.” Another admitted, “We have no ideas at the moment.”
Most respondents, however, expect AI to automate routine planning activities while improving planning intelligence and decision-making.
Respondents pointed to use cases such as load optimization, real-time alerts, forecasting and integrating planning data across systems. One respondent also envisioned AI supporting “combining deliveries into the most optimal transport plan, taking into account loading and unloading schedules.”
Perhaps the strongest theme was that AI will augment planners rather than replace them. As one respondent explained, AI will improve “speed, visibility and decision quality rather than fully replacing human planners,” while another envisioned a future that is “more automated, exception-based, with humans in the loop for decision-making.”
One respondent summarized this evolution well: “Standard allocation processes and common exceptions should be handled by trained AI agents. Planners should focus on refining the rules and managing truly exceptional shipments. In this way, logistics planners become more strategic and less execution-focused.”
Taken together, the responses suggest that AI’s greatest value will come from automating routine work and helping planners make faster, better-informed decisions as conditions change.
Recommended actions
Identify where manual planning consumes the most time
Look for activities that rely on spreadsheets, duplicate data entry, or manual exception handling, then prioritize those areas for automation.
Identify where manual planning consumes the most time
Look for activities that rely on spreadsheets, duplicate data entry, or manual exception handling, then prioritize those areas for automation.
Evaluate your planning capabilities, not just your TMS
Determine whether your planning environment provides the scenario planning, decision support, integration, and flexibility needed to manage today’s operational complexity.
Connect planning with execution
Ensure planners have timely, accurate data from transportation, warehouse, order management, visibility, and other operational systems so they can respond more effectively as conditions change.
Design planning processes for continuous adaptation
Equip planners with the tools and information they need to monitor changing conditions, evaluate alternatives, and adjust plans when necessary.
Use AI to augment planners
Prioritize AI applications that improve decision-making, such as load optimization, forecasting, exception management, freight booking, and scenario evaluation.
Evaluate your planning capabilities, not just your TMS
Determine whether your planning environment provides the scenario planning, decision support, integration, and flexibility needed to manage today’s operational complexity.
Connect planning with execution
Ensure planners have timely, accurate data from transportation, warehouse, order management, visibility, and other operational systems so they can respond more effectively as conditions change.
Design planning processes for continuous adaptation
Equip planners with the tools and information they need to monitor changing conditions, evaluate alternatives, and adjust plans when necessary.
Use AI to augment planners
Prioritize AI applications that improve decision-making, such as load optimization, forecasting, exception management, freight booking, and scenario evaluation.
Get in touch
Contact us today and discover how Transporeon can transform your logistics strategy and deliver measurable results.
