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Back from Manifest 2025 – Unpacking the Future of Supply Chain & Logistics

OTHER
20.2.2025
4
min
Manifest 2025
Contributors
Anthony Montalvo
Anthony Montalvo
Account Manager

Billed as the industry's premier event in 2025, Manifest promised to “bring together the most comprehensive ecosystem of those innovating and transforming end-to-end supply chain and logistics.” After three days in the Nevada desert, I can confidently say the show delivered. With over 7,000 attendees, including 1,500 representing the founder and investor community, Manifest served as a dynamic platform for sharing ideas, showcasing cutting-edge technologies, and addressing critical industry challenges.

The supply chain and logistics landscape is undergoing a radical transformation fueled by rapid technological advancements. From artificial intelligence and automation to blockchain and the Internet of Things (IoT), these innovations offer a promising future for optimization, efficiency, and growth. My key takeaways from Manifest highlight these opportunities, while also acknowledging the significant challenges businesses must overcome to thrive in this evolving environment.  Undoubtedly, the most significant impact stems from the sheer volume of data being generated and the application of AI to interpret and even act upon it.

Enhanced Visibility and Traceability

Technologies like IoT sensors, GPS tracking, and blockchain provide real-time visibility into every stage of the supply chain. This granular tracking and monitoring empowers companies to optimize inventory levels, mitigate bottlenecks, proactively respond to disruptions, and verify product authenticity.  Reduced risk through enhanced visibility allows businesses to identify potential problems before they escalate. Simultaneously, improved customer satisfaction results from ensuring the right products are available and deliverable on demand. This translates into agility—a crucial competitive advantage in today's dynamic market.

Looking ahead, leveraging data from visibility and traceability systems enables businesses to anticipate needs, refine strategies, and optimize their entire supply chain. This also significantly impacts sustainability by allowing companies to monitor their operations' environmental, social, and economic impact. For example, businesses can track the carbon footprint of their products throughout the supply chain and identify areas for improvement.

Automation and Machine Learning

In the warehouse, technologies like Automated Guided Vehicles (AGVs) and robotic picking systems enable round-the-clock operation with minimal human intervention, significantly boosting throughput. On the road, AI-powered route optimization and advanced demand forecasting improve inventory management, reduce labor costs, and ensure timely deliveries. Predictive analytics help businesses anticipate potential disruptions, allowing for proactive risk management and enhanced supply chain resilience. This optimization improves profitability and fosters more responsive and agile operations. Furthermore, these technologies support sustainable and ethical practices within supply chains, such as traceability and fair labor practices.

 

Agentic AI

Specialized AI Agents are set to revolutionize supply chain and logistics by autonomously making decisions, adapting in real-time, and solving complex problems across dynamic environments. Replacing or complementing humans with AI brings numerous advantages, especially when handling repetitive and time-consuming tasks faster and more accurately. And, of course, AI agents can work around the clock without fatigue, ensuring continuous operation and quicker response times.

While the potential is undeniable, and we are relentlessly heading in that direction, we cannot overlook concerns around job displacement, upskilling needs, and the potential loss of human expertise in decision-making. While AI can process data and recognize patterns, human intuition and creativity remain invaluable, particularly in complex problem-solving scenarios. The most effective approach likely involves complementing human capabilities with AI, where AI handles routine tasks and provides insights, freeing humans to focus on strategic decisions and innovation.

 

Potential Pitfalls

The supply chain and logistics industry has much to gain from emerging technologies, but significant risks must be considered.

The most obvious is cybersecurity risk. As supply chains become increasingly interconnected and reliant on digital technologies, their cyberattack vulnerability increases. Data breaches, ransomware attacks, and other cyber threats can disrupt operations, compromise sensitive information, and damage brand reputation. Robust cybersecurity measures are essential to mitigate these risks. This includes not only technical solutions but also comprehensive training and awareness programs.

A less obvious but much more significant risk (due to its potential to undermine investments in technology and impact the bottom line) has to do with data management and integration. The proliferation of data from various sources presents a significant challenge. As customers and suppliers become more interconnected, the risk is multiplied (with the added complexity of incompatible legacy systems that many businesses still rely on). Collecting, cleaning, and integrating this data into a unified platform is essential for leveraging its full potential and is all too often an afterthought. A clear data strategy is essential.

Closely related to this last point is the cost of deploying new technologies. Businesses must carefully evaluate the costs and benefits of different technologies before making investment decisions, including weighing the pros and cons of existing solutions versus building tailor-made systems. Often, using pre-built components or adopting a phased approach can be a sensible approach to avoid breaking the bank.

Finally, we should not forget the talent gap. Implementing and managing these advanced technologies requires a skilled workforce. There is a growing talent gap across most industries, with many fearing their jobs may be lost to AI, while at the same time there is a shortage of professionals with expertise in areas like data analytics, AI, and cybersecurity.  Businesses need to invest in training and development programs to upskill their existing workforce while at the same time developing strong relationships with technology partners that can help implement, support, and update new technologies.

 

In Conclusion

The technological revolution in supply chain and logistics presents a wealth of opportunities for businesses to optimize their operations, enhance customer experiences, and achieve sustainable growth. However, it will take careful planning, strategic investment, strong partnerships, and a proactive approach to address the challenges properly along the way. 

Big Data, AI, and Intelligent Agents are invaluable tools that we must learn to work with at the peril of falling behind. Still, they are not automatic, plug-and-play solutions that will guarantee us success. Careful planning, a culture of learning, and lots of common sense are no less important. Can’t wait to see what the world looks like when Manifest 2026 rolls around!

Want to stay ahead in the evolving supply chain landscape? Let's explore how emerging technologies can drive efficiency and resilience in your operations. Contact us to discuss tailored strategies for your business! 🚀