Technology
AI in Logistics: What Actually Worked in 2025 and What Will Scale in 2026
AI drew enormous attention in 2025 across supply chain operations. The most successful teams focused on smaller, well-defined operational bottlenecks where AI could reduce ambiguity, surface risks sooner, and compress decision cycles. TMS platforms used AI to evaluate alternates during routing failures, while WMS platforms used AI to sequence tasks based on congestion and labor availability.
According to McKinsey, companies using artificial intelligence in logistics are seeing 5-20% cuts in operational costs. Global investment in Digital Transformation will reach $3.4 trillion in 2026, with Supply Chain modernization among the top priorities.