Manhattan Associates announced findings from its collaboration with international research firm Vanson Bourne, surveying 1,450 senior decision-makers in various sectors. The research indicates that 61% of organizations anticipate fully autonomous Agentic AI in transportation management within five years, yet only 37% currently integrate AI and machine learning in their TMS. Integration difficulties, skill shortages, and data quality issues are cited as significant hurdles.
The study emphasizes that the value of visibility extends beyond data access to actionable operational improvements, with 60% of organizations linking enhanced visibility to greater customer satisfaction and 50% to reduced transportation costs. Sustainability compliance is also a priority, with 69% facing pressure and 62% implementing Corporate Sustainability Reporting Directive (CSRD) reporting, highlighting the need for modern TMS solutions to measure progress and ensure compliance.
This research report positions Manhattan Associates as a thought leader in the evolving landscape of transportation management and AI adoption. By identifying key trends and challenges, particularly around Agentic AI and sustainability, Manhattan reinforces its relevance and expertise, potentially driving demand for its advanced TMS solutions and strengthening its market position.
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