White Papers Logistics Megatrends 2026

Definitions of Key Concepts

Logistics Digital & AI Concepts

System of Record (SoR)

A highly reliable single source of data used for supply chain decision-making. It integrates and verifies fragmented data from shipping lines, ports, warehouses, and carriers to establish unified operational standards. It is regarded as a core infrastructure that determines the accuracy of AI-based forecasting and automated operations.

Predictive Visibility

A next-generation supply chain visibility system that goes beyond simple shipment tracking to include ETA prediction, risk detection, and alternative scenario recommendations. Through AI and machine learning-based analysis, it helps identify potential disruptions such as port congestion, port skips, and severe weather conditions in advance, enabling proactive response strategies.

Agentic AI

An autonomous AI system capable of independently reasoning, making decisions, and executing actions. Beyond repetitive automation tasks, it can handle complex supply chain decisions such as inventory planning, transportation rerouting, and supply chain risk management.

Orchestrator Agent

A higher-level AI manager that coordinates and orchestrates multiple AI agents. In the event of supply chain disruptions, it connects various functional AI agents—such as inventory, sourcing, and transportation agents—to derive optimized response scenarios.

Supply Chain & Operational Strategy Concepts

Supply Chain Resilience

The capability to quickly recover and maintain operations during crises. As geopolitical conflicts, natural disasters, and cyberattacks increase, companies are prioritizing supply chain stability and flexibility over simple cost efficiency.

Digital Twin

A technology that replicates real-world logistics environments in virtual space for simulation purposes. It enables companies to analyze warehouse operations, transportation routes, and inventory flows in real time while testing scenarios such as tariff changes or cargo volume increases in advance.

Omnichannel

A retail strategy that integrates online, offline, and mobile channels into a unified customer experience. Consumers can access consistent inventory information and purchasing experiences across all channels, while companies improve responsiveness through integrated logistics operations.

D2C (Direct-to-Consumer)

A business model in which manufacturers sell directly to consumers without intermediaries. This allows brands to directly secure consumer data, while fast delivery and customer experience management become key competitive advantages.

Logistics Automation & ESG Concepts

AMR (Autonomous Mobile Robot)

A self-driving logistics robot capable of determining optimal routes in real time. Compared to traditional AGVs, AMRs offer greater flexibility and are increasingly used to automate picking and transportation tasks in warehouses, addressing labor shortages and improving operational efficiency.

AS/RS (Automated Storage and Retrieval System)

An automated warehouse system designed for storage, retrieval, and inventory handling. It maximizes space utilization and improves operational accuracy, making it a key infrastructure component for smart warehouses and large-scale logistics centers.

EU ETS (European Union Emissions Trading System)

The European Union’s carbon emissions trading scheme, which directly impacts maritime and air logistics costs. Companies are now required to manage carbon emission data more precisely while establishing low-carbon logistics strategies and introducing sustainable fuels.

True Cost

An integrated cost concept that includes not only transportation expenses but also carbon taxes, cyber risks, and supply chain disruption costs. It serves as a strategic decision-making framework that considers both hidden risks and opportunity costs across the entire supply chain.

Global Logistics Megatrends 2026: Key Questions

• Q1.

  Why is supply chain resilience becoming more important?

  As geopolitical conflicts, climate change, protectionism, and cyberattacks simultaneously intensify, traditional cost-efficiency-focused supply chains are revealing structural limitations. Companies are increasingly prioritizing supply chain stability and crisis response capabilities over simple cost reduction, redesigning supply chains around resilience through strategies such as production diversification and multi-routing.

• Q2.

  Why is AI-based logistics operation expanding?

  AI significantly improves supply chain efficiency and responsiveness by performing ETA prediction, inventory optimization, route planning, and risk detection in real time. In particular, agentic AI systems are evolving beyond simple task automation to independently assess situations and recommend alternative scenarios, positioning themselves as next-generation logistics technologies.

• Q3.

  How is digital twin technology being used in the logistics industry?

  Digital twin technology creates virtual replicas of real-world supply chains and logistics environments, enabling companies to simulate various scenarios in advance. Businesses use it to verify variables such as tariff changes, cargo volume increases, natural disasters, and port congestion, allowing faster optimization of operational strategies and inventory placement.

• Q4.

  Why are manufacturers strengthening omnichannel and D2C strategies?

  As demand for direct consumer engagement increases, manufacturers are strengthening D2C strategies and consumer-centric logistics systems without relying solely on distributors. This has accelerated investments in integrated inventory management, fast delivery, micro-fulfillment operations, and reverse logistics capabilities to enhance customer experience.

• Q5.

  Why is warehouse automation spreading rapidly?

  Severe labor shortages and stricter workplace safety regulations across the logistics industry are making warehouse automation an essential infrastructure rather than an optional investment. Technologies such as AMRs, AS/RS, and digital picking systems improve operational efficiency and accuracy while enhancing worker safety and operational stability.

• Q6.

  How are carbon regulations and the True Cost concept affecting the logistics industry?

  As global carbon regulations such as the EU ETS continue to strengthen, companies are shifting from focusing solely on transportation cost reduction to considering the overall cost structure of supply chains. The spread of the True Cost concept—which includes carbon taxes, supply chain disruption risks, cyberattacks, rising insurance costs, and opportunity costs—is driving companies to establish more strategic and long-term supply chain management systems.