AI in Logistics Falls Short of Industry Expectations

AI in Logistics Falls Short of Industry Expectations

This article explores the current application of artificial intelligence in the logistics industry and the challenges it faces. While AI promises to achieve more efficient supply chain connections, actual applications remain largely localized, making overall transformation a daunting task. Logistics companies must focus on infrastructure development and collaboration with partners while actively pursuing AI, especially considering varying levels of digital maturity and real-world constraints.

Jiuzhou Logistics Eases Hiring Struggles in Chinas Logistics Sector

Jiuzhou Logistics Eases Hiring Struggles in Chinas Logistics Sector

Jiuzhou Logistics Network is dedicated to solving recruitment challenges in the logistics industry, offering a convenient one-click platform for posting job openings and connecting companies with job seekers. The article analyzes various logistics positions published on the platform, revealing industry talent demand trends and providing job seekers with efficient job search advice. It also looks forward to the future development direction of the platform, aiming to become a leading resource for logistics recruitment and career advancement.

08/21/2025 Logistics
Read More
Smart Logistics Parks The Future Blueprint for Logistics Development

Smart Logistics Parks The Future Blueprint for Logistics Development

Smart parks enable comprehensive digital transformation of logistics through the integration of modern information technologies, serving as a crucial way to enhance the core competitiveness of the logistics industry. Strong government support and the application of technology facilitate the intelligent upgrading of these parks, allowing them to achieve efficiency and sustainable development in market competition. In the future, smart parks will continue to promote innovation and efficiency improvements within the logistics sector.

DIY Business Intelligence Tools Cut Costs for Facebook Google Ads

DIY Business Intelligence Tools Cut Costs for Facebook Google Ads

This paper proposes a low-cost approach to building a self-built BI system for integrating Facebook and Google advertising data. By leveraging Deferred Deeplink and S2S integration technologies, advertising campaign information is obtained and combined with a self-built BI system for data analysis, enabling ad performance tracking and optimization. The paper also discusses data attribution and duplicate installations, proposing corresponding solutions to address these challenges. This approach offers a cost-effective way to gain insights from advertising data and improve campaign effectiveness.