Shipping disruptions have become a major challenge for e-commerce retailers, with supply chain bottlenecks, unpredictable demand surges, and logistical delays threatening customer satisfaction. In an industry where speed and reliability are key, businesses must find innovative ways to minimize these disruptions and maintain smooth operations. AI is boosting logistics by helping retailers forecast demand, optimize transportation routes, and mitigate potential delays before they escalate. From AI-driven supplier negotiations to real-time tracking and predictive analytics, leading retailers are already harnessing technology to stay ahead. As e-commerce continues to evolve, leveraging AI-powered logistics solutions is no longer just a competitive advantage—it’s becoming a necessity for survival in an increasingly digital and fast-paced marketplace.
Data and AI as a Game-Changer in Logistics Optimization
Major retailers are already using AI-driven technology to maintain a competitive edge. Walmart, for instance, employs Pactum, an AI-powered system that automates supplier negotiations, streamlining operations and minimizing delays. Similarly, companies like FourKites offer advanced logistics software with on-the-spot tracking tracking and predictive analytics, enabling businesses to anticipate and mitigate shipping disruptions. For e-commerce retailers, integrating these solutions leads to greater visibility, fewer unexpected setbacks, and more reliable fulfillment processes.
“Data is the new backbone of trade, shaping the way businesses anticipate demand, manage risks, and streamline operations. AI enables us to not only forecast market trends with greater accuracy but also detect and prevent fraudulent activities before they impact the supply chain, safeguarding the integrity of products by ensuring their quality and quantity remain uncompromised. In logistics, real-time optimization powered by AI helps reduce delays, cut costs, and improve overall efficiency, ensuring that goods reach their destinations faster and more reliably. At BGN, we view technology as a powerful tool that enhances—rather than replaces—human expertise, allowing professionals to focus on strategic decision-making and ethical considerations. By integrating AI with deep industry knowledge, we create smarter, more resilient supply chains that adapt to disruptions and drive sustainable growth in global trade,” says Rüya Bayegan, the Group CEO of BGN and one of the leaders in the global energy and commodity trading sectors.
Real-Time Tracking: A Competitive Advantage for E-Commerce Retailers
As customer expectations for fast and reliable deliveries continue to rise, transparency has become a key differentiator for e-commerce businesses. When shipping disruptions occur, companies that proactively update customers with real-time tracking details can enhance trust, reduce uncertainty, and improve overall satisfaction. By leveraging AI and other technologies, retailers can turn potential setbacks into positive customer experiences through clear communication and strategic problem-solving.
“Real-time tracking and route optimization represent critical touchpoints in the end-to-end customer journey. Through a data flywheel, each delivery provides insights that improve future routing decisions and tracking accuracy. The result is a system that continuously evolves to provide more precise delivery windows, more efficient routes, and more meaningful tracking information – all of which significantly enhance customer satisfaction,” says Peter Sarlin, CEO and cofounder of Silo AI.
E-commerce companies can use real-time monitoring technology to provide live updates on order status, estimated delivery times, and potential delays, ensuring customers remain informed and reassured throughout the process. By leveraging AI-driven logistics platforms, businesses gain oversight and optimize shipments dynamically, helping companies minimize disruptions and enhance fulfillment efficiency.
“Real-time tracking technology plays a key role in improving customer experience during periods of expected shipping delays. It provides transparency on the status and location of an order, keeping customers informed as the situation develops and reducing any potential anxiety about whether their order will be delivered. AI-driven tracking systems can also suggest alternative shipping routes or fulfillment centers, minimizing delays. By integrating real-time tracking with global production networks, businesses can reduce transit times and improve reliability, even in the face of supply chain disruptions,” says Henrik Müller-Hansen, CEO and Founder of Gelato, a global print-on-demand platform.
Automation and Robotics: Strengthening Inventory Management
Efficient inventory management plays a vital role in maintaining smooth global shipping operations, particularly during supply chain disruptions. Utilizing real-time tracking and predictive analytics enables businesses to balance stock levels, preventing shortages due to delayed shipments while avoiding surplus inventory. Automation tools further enhance warehouse productivity by optimizing order processing, improving accuracy, and accelerating fulfillment—key factors in mitigating delays and backlogs.
“By incorporating a local production and distribution model, retailers can bypass many traditional shipping challenges, ensuring products reach customers more efficiently despite global supply chain fluctuations. Inventory management solutions like GelatoConnect help streamline these processes by offering real-time insights, automated decision-making and flexible fulfillment options. By integrating such software, production businesses can anticipate potential shortages, adjust procurement strategies proactively and maintain operational resilience in an increasingly unpredictable shipping landscape,” adds Müller-Hansen.
In addition to optimizing inventory and fulfillment, ensuring seamless communication with customers is equally critical in mitigating disruptions. Optimized inventory and fulfillment processes not only minimize delays but also provide accurate shipping updates, reinforcing customer trust.
While Müller-Hansen emphasizes the role of local production and inventory management in mitigating supply chain disruptions, Nir Zigdon, a global e-commerce transformation expert, underscores the value of transparency in building customer trust. By integrating AI-driven solutions that optimize inventory and enhance tracking capabilities, retailers can not only improve operational efficiency but also provide a seamless, reliable experience for their customers—even in the face of unpredictable shipping challenges.
“A fundamental rule in customer service is “Push, don’t Pull”—meaning businesses should proactively update customers about issues before they ask. Brands that embrace this approach build trust while also reducing the strain on customer support teams. We see this principle with food delivery services like Uber Eats and Wolt, where customers can track their couriers in real-time. Similarly, major e-commerce players integrate real-time tracking to inform customers about their package status”, says Zigdon.
Today, this level of transparency is mainly limited to platforms that own their last-mile fleet, such as Amazon. However, some logistics providers now offer API-based solutions, allowing retailers to share real-time tracking data with their customers, even when using third-party carriers. “The result is fewer complaints, greater transparency, and improved customer satisfaction—even in cases of delays,” adds Zigdon.
AI in E-Commerce Logistics
As global supply chains become more complex, AI-driven simulations are playing a critical role in predicting and mitigating disruptions before they occur. By analyzing vast datasets, AI can model potential risks and optimize logistics strategies in real time.
According to Sarlin, AI in e-ommerce goes beyond simple automation to creating end-to-end solutions. “For shipping disruption prediction, this could mean developing systems that can analyze multiple data sources simultaneously – from weather patterns to port conditions to historical performance. By creating digital representations of the entire supply chain network, AI can simulate potential disruptions and their cascading effects before they occur, allowing retailers to implement proactive mitigation strategies”.
For instance, Amazon leverages artificial intelligence for dynamic route planning, allowing delivery paths to be adjusted in real time based on traffic congestion, weather conditions, and other factors. This optimization helps reduce delivery times and lower fuel costs. Similarly, DHL employs AI to enhance last-mile delivery by using real-time traffic and weather data to adapt routes on the fly. This improves operational efficiency and ensures a smoother, more reliable experience for customers.
“Shortages or mismanagement of inventory can cause delays in the fulfillment of orders. Amazon has also built up its robotic inventory management systems which include AI-enabled robots that can identify, sort and inspect the quality of the product before it is packed thus decreasing the time of processing and increasing the accuracy. On the other hand, FedEx has made investments in AI robotics companies like Nimble in order to strengthen its supply chain, applying automation in order to work faster and avoid delays,” says Dinesh Besiahgari, a FrontEnd Engineer II at Amazon Web Services (AWS).
Besiaghari adds that providing customers with real-time tracking details enhances trust and transparency. Services like AfterShip offer automated shipment tracking, supporting over 1,100 carriers, including UPS, FedEx, and DHL. This allows clients to monitor shipments across multiple carriers and receive notifications at various stages of the delivery process.
As e-commerce continues to evolve, leveraging AI-driven logistics solutions is no longer optional—it’s essential for maintaining efficiency, transparency, and customer satisfaction. From predictive analytics and real-time tracking to automation and AI-powered decision-making, technology is reshaping how retailers navigate shipping disruptions. By integrating these innovations, businesses can build more resilient supply chains, reduce operational bottlenecks, and enhance the overall customer experience. In an increasingly digital marketplace, those who embrace AI-driven logistics will not only stay competitive but also set new industry standards for speed, reliability, and efficiency.