GOODQUESTION Readers Weigh In
What Logistics Function Will AI Have the Most Profound Impact On?
RISK MANAGEMENT because artificial intelligence (AI) enables predictive analytics. Reactive plans and over-engineered remediation will turn into proactive strategies that catch breakage and capacity constraints in supply chains before they emerge. –Mike Van Horn AVP, AT&T Connected Solutions, AT&T SUPPLIER AND CARRIER COLLABORATION. AI agents will transform collaboration through automation and real-time recommendations. They can make faster and more accurate decisions than humans in many cases and are always on. –Sriram Nagaswamy Executive Vice President, Technology, FourKites TASK OPTIMIZATION is an area where we will see significant changes. Whether an operations manager distributes work for the next 24 hours or a transportation planner determines routes, AI applications will have a tremendous impact on leveling up the multi-variable calculation element of task management far beyond that which a human alone can execute. –Jordan Lawrence VP Commercial Strategy, AutoScheduler.AI TRANSPORTATION MANAGEMENT SYSTEMS. AI will be used in freight management to advance TMS software functions. This will allow processes to improve and help with decision-making, providing true operational benefits. –Rick LaGore Co-founder and CEO, InTek Freight & Logistics
AI-driven route optimization will redefine delivery efficiency. By analyzing traffic patterns and environmental factors, AI will minimize travel time and costs, enhancing the reliability and sustainability of last-mile logistics. –Dennis Moon COO, Roadie Route Optimization
AI has the potential to not only lower cost (both fuel and labor), but also improve delivery speed, increase volume, and lower CO2 impact. It also offers the opportunity to respond in real time, whether that’s weather- dependent or a larger-scale crisis. –Raj Ramanan CEO, Jitsu
Pure-play AI is helping with better predictions. In the longer term, pure-play AI will start to replace algorithmic code. ChatGPT is not suited for supply chain functions that require sequential activities. –Tom Moore Founder & CEO, ProvisionAi Demand Forecasting
AI enhances demand forecasting by processing vast data sets, identifying patterns, and integrating external factors like climate and social trends. It simplifies complex forecasting as SKUs and market channels expand. –Mike Gross Chief Technology Officer, TrueCommerce
DISTRIBUTION CENTER MANAGEMENT. Continuously analyzing growing warehouse data sets will enable predictive AI to develop and deliver key recommendations to management during daily operations. Allocating staff and workload in real time to maximize service and efficiency will soon be more effectively performed by predictive AI engines. –Sandy Stephens
RATE MANAGEMENT, especially quoting. By utilizing AI-driven quoting, transportation teams can improve data quality, manage rates proactively as markets change, and mitigate risks more efficiently across all lanes. –Edmund Zagorin Founder & Chief Strategy Officer, Arkestro DATA INTEGRATIONS. AI will speed up data integrations between customers and their 3PL partners,
Chief Strategy Officer, HyTek Intralogistics LLC
10 Inbound Logistics • November 2024
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