USPS Discontinues LTL Freight Service After Failed Experiment

USPS Discontinues LTL Freight Service After Failed Experiment

The United States Postal Service (USPS) once attempted to enter the less-than-truckload (LTL) freight market but failed due to financial pressures, operational challenges, and intense competition. This case highlights the importance of industry convergence, technological innovation, and customer experience in the logistics sector. It provides valuable insights for logistics companies seeking sustainable growth and success, demonstrating the complexities and risks associated with expanding into new and competitive areas.

01/21/2026 Logistics
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Amazon Updates Star Ratings Sellers Adjust to New Rules

Amazon Updates Star Ratings Sellers Adjust to New Rules

Amazon's new policy focusing solely on star ratings is coming into effect, posing challenges for sellers including difficulty in appealing and increased malicious competition. This article analyzes the impact of the new policy on sellers and proposes strategies such as improving customer service, monitoring rating data, and analyzing competitor information. Furthermore, it recommends using tools like ECPP ERP to help sellers maintain competitiveness and stabilize sales under the new regulations.

01/21/2026 Logistics Industry Insights
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US Freight Market Faces Challenges As Cass Index Declines

US Freight Market Faces Challenges As Cass Index Declines

The Cass Freight Index reveals declines in North American freight volume and expenditures year-over-year and month-over-month in November, indicating challenges to economic recovery. The report analyzes key factors impacting the freight market, including macroeconomics, inventory levels, retail activity, and energy prices, and provides an outlook on future opportunities and challenges. It recommends that freight companies optimize operations, diversify services, and strengthen customer relationships to navigate market fluctuations.

01/21/2026 Logistics Industry Insights
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DHL Adopts Generative AI to Boost Supply Chain Customization

DHL Adopts Generative AI to Boost Supply Chain Customization

DHL Supply Chain is collaborating with Boston Consulting Group to deploy generative AI applications aimed at enhancing data management and analytics, optimizing customer insights, and accelerating solution customization. Managing GenAI applications through a 'product funnel approach,' DHL Supply Chain focuses on business development and solution design, with the goal of creating greater value for both customers and employees. This initiative signals the growing importance of GenAI in the logistics sector.

01/28/2026 Logistics
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Fedex Deploys AI Robots to Boost Logistics Efficiency

Fedex Deploys AI Robots to Boost Logistics Efficiency

FedEx is testing AI-powered robotic loading technology to enhance ground transportation efficiency. Dexterity AI's DexR robot autonomously loads trailers, utilizing a dual-arm design and AI software for efficient package handling. Despite economic challenges, FedEx is actively exploring automation to meet growing customer demands and market competition. This initiative reflects FedEx's commitment to innovation and its proactive approach to optimizing its logistics operations in a rapidly evolving industry.

01/28/2026 Logistics
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Coop Automates Food Supply Chain for Faster Fresh Delivery

Coop Automates Food Supply Chain for Faster Fresh Delivery

Coop Group's distribution center optimizes the entire process from receiving and storage to picking and shipping through automation. By employing precise temperature control, diverse picking systems, and intelligent shipping buffers, Coop Group enhances efficiency, reduces costs, and improves customer experience. This serves as a valuable reference for the future development of the food supply chain, demonstrating how automation can streamline operations and improve overall performance in a demanding industry.

01/29/2026 Warehousing
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Retailers Shift to Datadriven Forecasting for Inventory Precision

Retailers Shift to Datadriven Forecasting for Inventory Precision

The retail industry struggles with inventory prediction, leading to stockouts, overstocking, and inefficient supply chains. Data-driven forecasting is crucial for improvement. Automation technologies, like robots, can efficiently collect data and enhance prediction accuracy. By analyzing sales, customer behavior, and market trends, retailers can optimize inventory levels, improve product placement, and adjust pricing. This results in more accurate forecasts, streamlined operations, and personalized services, ultimately positioning them for future success.

01/29/2026 Logistics Industry Insights
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Amazon Expands Tea Selection Amid US Wellness Trend

Amazon Expands Tea Selection Amid US Wellness Trend

Amazon selects premium teas from around the world, offering a variety of choices including green tea, black tea, white tea, and oolong tea, catering to diverse taste preferences. These teas are rich in antioxidants, promoting health and well-being. For Amazon tea sellers, it's crucial to focus on product quality, packaging, pricing, logistics, and customer feedback to enhance competitiveness. Amazon Tea: Embrace a light and healthy lifestyle, American style.

01/26/2026 Logistics Encyclopedia
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Factories Boost Exports with Short Video Strategies

Factories Boost Exports with Short Video Strategies

This article addresses the challenges faced by foreign trade factories in short video marketing. It proposes four key strategies: focusing on completion rate by optimizing "hook" design; utilizing four video types including production line footage, product testing, application scenarios, and customer testimonials; and providing case analysis and refined operational recommendations. The aim is to help foreign trade businesses accurately attract traffic and drive significant order growth, potentially unlocking millions in orders.

01/26/2026 Logistics Industry Insights
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Big Data Transforms Global Supply Chains for Resilience

Big Data Transforms Global Supply Chains for Resilience

In the face of a complex and volatile global supply chain environment, Big Data empowers businesses to enhance operational efficiency and market competitiveness by reshaping supply chain resilience and efficiency through six key dimensions: accurate forecasting, intelligent inventory management, efficient logistics, proactive risk management, transparent supplier management, and personalized customer experience. These applications leverage data-driven insights to optimize processes, mitigate disruptions, and create a more agile and responsive supply chain.

01/29/2026 Logistics Industry Insights
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