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AI in Logistics
The role of AI in global logistics and supply chains
From warehouse automation to last-mile delivery optimization and predictive forecasting, discover how AI is reshaping the future of logistics.
What is Artificial Intelligence in logistics?
Artificial Intelligence in logistics refers to the use of machine learning, predictive analytics, and automation technologies to improve how goods are stored, moved, tracked, and delivered.
From forecasting demand to optimizing delivery routes and managing warehouse operations, AI enables logistics companies to make smarter, data-driven decisions in real time.
AI is transforming warehouse operations by automating tasks like pick-and-pack, restocking, and inventory tracking. Technologies such as collaborative robots (cobots), computer vision, and IoT sensors enable logistics teams to scale faster, reduce errors, and cut costs.
Machine learning models improve fulfilment accuracy and speed by adapting to real-time data, while predictive maintenance minimizes downtime by anticipating equipment issues. This automation adds flexibility and resilience to fulfilment workflows—especially during high-volume periods.
AI enhances last-mile delivery by optimizing routes, forecasting delays, and dynamically adjusting to real-time conditions like traffic or weather. Predictive analytics helps reduce failed deliveries, improve ETAs, and lower fuel consumption by identifying the most efficient paths.
Machine learning algorithms continuously refine delivery sequences and can reroute orders on the fly to meet customer expectations. This leads to faster deliveries, higher success rates, and lower operational costs.
AI enables logistics teams to forecast demand, manage inventory levels, and anticipate supply chain disruptions with greater accuracy. Predictive analytics highlights trends and future risks, while prescriptive analytics suggests concrete actions to optimize operations.
This data-driven approach improves stock availability, reduces waste, and supports better carrier selection and capacity planning. With AI, decision-making becomes faster, more informed, and adaptable to shifting conditions across the logistics chain.
AI & Logistics: trends, data, and use cases for 2026
This ebook explores real-world use cases, emerging trends, and data-driven innovations—from cost optimization and predictive analysis to smart transport. A must-read for logistics professionals aiming to drive efficiency, sustainability, and competitive advantage in 2026 and beyond.
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AI Insights
NewShaping shipping with zero-click automation and AI-powered insights
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Analyze Carrier performances and choose the best option
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Speed up fulfillment operations using custom rules
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Connect your WMS to streamline fulfillment, enhance data accuracy, and enable intelligent automation.
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Unify orders with the same recipient before shipping to reduce expenses & environmental footprint
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Get complete visibility on shipping cost centres by automatically analyzing carrier invoices
