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Thursday, 15/1/2026 | 20:01 GMT+7

Why 3PLs are building smart networks before 2026

A sluggish transportation market is forcing third-party logistics companies to pivot, embracing technology, data, and automation as core competitive advantages.

As the logistics industry nears 2026, the transportation market faces a rare period of stagnation. Low demand and persistent profit margin pressure reveal previously overlooked weaknesses. The imperative for third-party logistics (3PL) companies is not to offer cheaper shipping rates, but to build smarter, more flexible, and highly automated networks.

Unable to compete on price

Transportation rates have already bottomed out, with little room for further reduction next year. Driver wages continue to outpace inflation, while escalating insurance costs from cargo theft and fraud have eroded most remaining profit margins.

This situation places 3PLs at a crossroads. Price competition alone is no longer viable. The successful companies in 2026 will be those prioritizing strategic performance, enhancing efficiency, and increasing resilience and adaptability.

Building smarter shipments and networks

The 3PLs achieving breakthroughs in 2026 will be those building data-driven networks that eliminate waste. Network optimization, previously a much-discussed but inconsistently implemented concept, is now an essential capability.

Modern supply chains are increasingly fragmented. Manufacturers rely more on outsourced partners, often distant from their headquarters or distribution centers. This geographical separation can significantly increase inbound transportation costs. In a competitive environment, understanding the cost impact and service levels when designing a distribution network is crucial.

Capable 3PLs offer network analysis services, mapping all nodes—from suppliers and factories to distribution centers and final delivery points—to identify inefficiencies. This enables businesses to make decisions on relocation, consolidation, or collaboration with a 3 to 5-year outlook.

3PLs that combine human experience with AI and machinery will overcome industry challenges. Photo: CreativeSeven

Another challenge is minimum order quantity (MOQ). While encouraging large orders may increase immediate shipping costs, it reduces overall costs to customers in the long term. Parallel to this is transportation optimization: consolidating small shipments into efficient vehicle loads, coordinating transport methods, and managing cargo flow to reduce empty mileage. Businesses failing to effectively manage inefficient less-than-truckload (LTL) shipments risk falling behind.

Real-time visibility technology forms the foundation for these efforts. The integration of electronic logging devices (ELDs) and global positioning systems (GPS) now extends beyond simple location tracking. It enables detection of route deviations, prediction of delays, and immediate alerts for theft risks or compliance issues. This is no longer a competitive advantage but a minimum requirement for a modern, secure network.

Optimizing workforce planning

Despite automation's growth, labor remains a key, volatile cost center. Driver wages are rising, and competition for warehouse and operational labor remains fierce.

To address this, 3PLs invest in advanced forecasting and workforce planning tools. These tools balance resources with demand fluctuations, particularly in industries with intense peak seasons, such as retail, where up to 60% of annual output can occur in three months. By "flattening" peaks and valleys, businesses avoid surplus costs from overstaffing and productivity drops from understaffing.

Internally, many 3PLs automate non-revenue-generating administrative tasks, from order entry to scheduling. Manual tasks like driver check-ins or route confirmations are being replaced by artificial intelligence (AI) processes, enabling teams to focus on higher-value activities such as customer service—a true differentiator for modern 3PLs.

Reducing labor dependence through automation and robotics

Automated lifting systems, AI-supported conveyor belts, and container unloading robots demonstrate clear return on investment, often recouping costs within 2 to 3 years. For centers processing tens of thousands of packages daily, automation is not just an efficient choice but the only scalable solution, as manual labor can no longer keep pace.

Beyond warehouses, AI platforms are reshaping back-office operations, continuously optimizing shipments and adjusting schedules without human intervention. The goal is not to replace humans but to reallocate them to higher-value tasks, simultaneously reducing the risk of labor shortages.

Seizing the period of stability

Forecasts suggest 2026 may bring relative stability, though not a strong recovery. This "rare lull" offers businesses an opportunity to prepare for the next cycle. Investing in technology and reviewing processes during this period allows for testing, integration, and refinement before market volatility returns.

Forward-thinking 3PLs must leverage this time to modernize systems, select automation partners, and develop scenarios to address tariff or fraud risks. In the technology race, delay means falling behind.

The 2026 outlook indicates a fundamental shift in how 3PLs compete. Leaders will not be the lowest-priced providers, but businesses with smart, connected systems, optimized networks, and increasing automation. As supply chains grow more complex, 3PLs that combine human experience with artificial intelligence and machinery will shape the industry's next chapter.

Hai My (According to Food Logistics)

By VnExpress: https://vnexpress.net/ly-do-3pl-xay-dung-mang-luoi-thong-minh-truoc-2026-5002920.html
Tags: third-party logistics companies logistics supply chain

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