Logility Acquires Halo BI to Enhance Aidriven Supply Chain Solutions

Logility Acquires Halo BI to Enhance Aidriven Supply Chain Solutions

Logility's acquisition of Halo Business Intelligence aims to integrate AI technology into supply chain management, breaking traditional experience-based decision-making and enabling data-driven intelligent operations. By leveraging data integration, visualization, machine learning, and AI, the acquisition enhances supply chain visibility, accelerates decision-making, and enables predictive and prescriptive analytics. This empowers businesses to gain a competitive edge in the dynamic market landscape.

01/20/2026 Logistics
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Aipowered Supply Chains Transform ERP Systems in Business

Aipowered Supply Chains Transform ERP Systems in Business

ERP is deeply integrating with Supply Chain Management (SCM), leveraging AI technology to enable data-driven decision-making and personalized experiences. Companies need to choose between ERP-embedded SCM and specialized SCM solutions, while also focusing on user experience to build an intelligent and efficient supply chain. This integration aims to optimize processes, improve visibility, and enhance responsiveness to market demands through the power of AI-driven insights and automation.

Aidriven Warehousing Boosts Supply Chain Efficiency

Aidriven Warehousing Boosts Supply Chain Efficiency

Artificial intelligence (AI) is profoundly transforming warehouse management, shifting from traditional experience-driven approaches to data-driven strategies. AI optimizes inventory through intelligent forecasting, enhances operational efficiency through automation, improves layout with smart monitoring, and enables continuous improvement through data-driven decision-making. This helps businesses overcome efficiency bottlenecks, reduce cost pressures, and reshape supply chain effectiveness. The future of smart warehousing will be more intelligent, flexible, collaborative, and green.

01/29/2026 Warehousing
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Fictiv Analyzes Supply Chain Resilience Amid Tariff Challenges

Fictiv Analyzes Supply Chain Resilience Amid Tariff Challenges

The logistics industry faces tariffs, AI challenges, and market volatility in 2025. Fictiv's analysis suggests that companies should diversify sourcing, optimize supply chains, improve transparency, and proactively address AI and workforce challenges. To navigate uncertainty, businesses need to strengthen risk management, monitor policy trends, and adapt flexibly to seize development opportunities. Diversification, optimization, and transparency are key to building resilience and mitigating disruptions in the face of global economic shifts and technological advancements.

Microsoft Bing Adds Chatgpt to Boost Crossborder Ecommerce

Microsoft Bing Adds Chatgpt to Boost Crossborder Ecommerce

Microsoft Bing's integration of ChatGPT marks a new era of AI-powered cross-border e-commerce. ChatGPT's application in this field can significantly improve efficiency and reduce costs. Microsoft's support will accelerate the popularization of AI. However, businesses need to address the challenges that come with it to seize opportunities and achieve sustainable development. The integration promises enhanced customer service, personalized product recommendations, and streamlined logistics, ultimately transforming the global e-commerce landscape.

UNFI Symbotic Automate Fresh Food Distribution

UNFI Symbotic Automate Fresh Food Distribution

UNFI will deploy Symbotic's AI automation technology over the next five years to improve order accuracy, storage, and efficiency, accelerating its intelligent supply chain transformation. This deployment aims to streamline operations, reduce costs, and enhance responsiveness to customer demand within the food distribution network. The integration of AI will optimize various aspects of the supply chain, from warehousing and inventory management to order fulfillment and delivery, ultimately leading to a more agile and resilient system.

01/16/2026 Logistics
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OAG Forecasts Aidriven Personalization As Travels Future

OAG Forecasts Aidriven Personalization As Travels Future

OAG predicts that travel technology in the next 20 years will become smarter, more personalized, and data-driven, with deep integration of AI. However, core needs such as safety and comfort will remain unchanged. This evolution will leverage data to enhance every aspect of the traveler experience, from booking to arrival. The future of travel hinges on effectively utilizing AI and data while maintaining the fundamental priorities of security and a comfortable journey.

Logistics Firms Adapt to Aidriven Personalization Trends

Logistics Firms Adapt to Aidriven Personalization Trends

At the SMC3 conference, Tomorrow CEO Mike Walsh emphasized the need for logistics companies to focus on the AI-driven wave of personalization. He highlighted the importance of understanding evolving consumer behavior and leveraging AI to optimize decision-making. Drawing inspiration from Amazon, Walsh urged businesses to embrace digital transformation, strengthen data analytics capabilities, and foster a culture of innovation. By doing so, logistics companies can position themselves for success in the future competitive landscape.

Chinas Lithography Breakthrough Boosts Chip Selfsufficiency Efforts

Chinas Lithography Breakthrough Boosts Chip Selfsufficiency Efforts

China has made initial progress in the independent research and development of lithography machines, potentially breaking ASML's technological monopoly. Despite facing technical challenges, China is determined to promote domestic chip production to ensure national security and industrial competitiveness. While the United States leads in the field of AI, independent control of chips is crucial for China. The two countries will engage in a long-term competition in the chip and AI sectors.

CH Robinson Launches Aidriven Supply Chain for Logistics

CH Robinson Launches Aidriven Supply Chain for Logistics

C.H. Robinson introduces Agentic Supply Chain, an AI-powered intelligent ecosystem designed to optimize logistics operations through thinking, learning, and adaptation. This system enhances decision-making efficiency, improves prediction accuracy, and proactively addresses potential risks, helping businesses build more resilient supply chains. By leveraging AI, Agentic Supply Chain aims to provide greater visibility, control, and agility in managing complex supply chain networks, ultimately driving improved performance and reduced costs for its users.

01/28/2026 Logistics
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