12 posts tagged with “industry-trends”

A comprehensive summary of the key logistics technology trends shaping 2026 — from agentic AI and autonomous trucking to warehouse robotics and predictive intelligence. Updated as new insights emerge.

How Model Context Protocol (MCP) is transforming logistics operations - adoption trends, use cases, and what carriers need to know about this emerging AI standard.

The supply chain visibility software market is projected to reach $3.5 billion in 2026. Learn what's driving explosive growth and how shippers can leverage real-time tracking, IoT, and AI-powered analytics.

Digital twin technology is transforming supply chain planning. Learn how companies like PepsiCo use virtual simulation to cut costs and boost resilience.

AI and automation are helping fleets tackle the 174,000 driver shortage with smarter dispatch, predictive maintenance, and autonomous middle-mile routes.

Micro-fulfillment centers enable 30-minute delivery with 41.20% market growth. AI automation and urban logistics are reshaping last-mile delivery.

Reverse logistics market projected to reach $1.17 trillion by 2032. Leading companies transform returns from cost centers to strategic assets.

While the promise of coast-to-coast driverless semi-trucks still faces regulatory and technological hurdles, a quieter revolution is already happening on America's roads. Middle-mile autonomous trucking—the segment connecting distribution centers to retail stores—has emerged as the commercial proving ground for self-driving freight, and 2026 is the year it goes mainstream.

With Prologis predicting double-digit transport tariff increases in 2026, discover how TMS optimization and AI-powered route planning can help logistics teams control costs and maintain margins.

The freight forwarding industry has witnessed decades of incremental automation—from spreadsheets to TMS platforms, from manual rate lookups to digital rate management. But 2026 marks a fundamental shift: the emergence of agentic AI that doesn't just follow rules but makes autonomous decisions, learns from outcomes, and continuously optimizes freight quote generation without human intervention.