Operational Excellence (OPEX) Insight – Thursday - March 05, 2026: Volatile Supply Chains: Global Logistics Accelerates AI and Robotics Adoption.
Góc Nhìn Vận Hành Xuất Sắc – Thứ Năm, Ngày 05/03/2026: Chuỗi Cung Ứng Biến Động: Logistics Toàn Cầu Tăng Tốc Ứng Dụng AI và Robot
Welcome To Operational Excellence (OPEX) Insight Article For The Paid Subscriber-Only Edition.
This is the bilingual post in English and Vietnamese. Vietnamese is below.
Đây là bài viết song ngữ Anh-Việt. Tiếng Việt ở bên dưới.
English
PART 1 – OFFICIAL INFORMATION
In the context of global supply chains continuing to experience strong volatility due to economic factors, geopolitical developments, and changing market demand, several recent industry reports indicate that companies in the fields of logistics and industrial operations are adjusting their supply planning strategies. Analyses from specialized sources in global supply chain and logistics research show that the current level of market volatility is significantly higher than in the period before the pandemic.
Consumer demand has become more difficult to predict, while inventory adjustments following periods of excessive stockpiling, combined with fluctuations in transportation costs and fuel costs, have reduced the effectiveness of traditional planning models. In this environment, supply planning is no longer simply about optimizing inventory levels or reducing operational costs, but has become a strategic capability aimed at ensuring the ability to respond quickly to market changes.
Industry reports indicate that companies are seeking to balance two critical objectives: improving demand responsiveness and controlling operational costs. In the past, many organizations optimized their supply chains based on economies of scale and low cost structures. However, as volatility becomes a persistent condition, a purely cost optimization model can reduce operational flexibility and increase overall risk exposure.
One prominent trend is the increasing adoption of warehouse automation and artificial intelligence–based planning systems. Many logistics companies are experimenting with or expanding the use of robots in operations such as sorting, picking, packing, and inventory management in order to improve accuracy and reduce reliance on manual labor. At the same time, advanced data analytics systems are being integrated into planning processes to improve forecast accuracy and optimize distribution networks.
According to industry experts, instead of building fixed plans for an entire quarter or year, companies are shifting toward a flexible planning model, where plans are adjusted frequently based on updated data. This approach enables organizations to respond more quickly to demand fluctuations, transportation disruptions, or cost changes.
In addition, the trend of integrating activities from procurement, production, inventory, and transportation into a unified system is gaining greater attention. End-to-end supply chain management is becoming an essential requirement to ensure information transparency and the ability to adjust rapidly when operational risks occur.
Industry analyses indicate that the logistics sector is entering an important phase of structural transformation. In an environment where volatility has become the new normal, companies are compelled to strengthen automation capabilities, apply data-driven technologies, and enhance operational adaptability in order to maintain efficiency and long-term competitive strength.
