GOODQUESTION
giving them agility and visibility across the supply chain. But, 3PLs will need to move fast; AI-enabled data integrations also make it easier for customers to switch providers. –Bart Bullard VP of Information Technology, Source Logistics INVENTORY MANAGEMENT. AI will create the ability to automatically see stock levels and initiate stock replenishment based on demand. This will help product availability and minimize manual inventory tracking. –Nick Shorthose Vendor Manager, Communisis DECISION INTELLIGENCE. Historically, logistics operations have been data rich but insight poor. AI will have a profound impact on our ability not only to quickly analyze and resolve situations by contextualizing data from disparate sources to drive intelligent decision-making, but to improve outcomes for the long term.
Risk mitigation
The List Goes On and On
Inventory management
Demand planning
AI is optimizing entire supply chains through improved data analysis and efficiencies to match supply with demand. Manufacturing, distribution, inventory management, demand planning, and marketing functions will all be impacted. –Barry Bradley Head of Supply Chain, Crisp
Supply chain simulation
Optimization
Data analysis
With a large dataset, AI will significantly impact all aspects of supply chain and logistics. With significantly rising inventory carrying costs driven by real estate, insurance, and employee costs, organizations need to use AI to optimize demand planning. –Tom Kieley CEO, SourceDay Where we see the biggest benefits right now are in risk analysis, supply chain simulation and optimization, and automating engagement across stakeholders. However, AI can and will drive much deeper transformation in our industry. –Neil Wheeldon Chief Digital & Innovation Officer, PSA BDP
–Ilya Preston CEO, PAXAFE
initiatives. The ideal scenario is that AI becomes a productivity multiplier across the entire industry. –Maneet Singh Chief Information Officer, Odyssey Logistics PICKING OPERATIONS. With 60-70% of labor costs tied to picking, AI’s ability to optimize routes, reduce errors, and predict demand offers massive efficiency gains. –Erhan Musaoglu CEO & Founder, Logiwa EXCEPTION MANAGEMENT. For example, when extreme weather like a hurricane or a black swan event like the Baltimore bridge collapse disrupts port operations, AI can help supply chain teams predict how the disruption would impact ETAs and proactively mitigate the effects by rerouting containers. –Chelsea Quint Product Marketing Manager, project44 DECISION SUPPORT. By integrating AI with human analysts and data analytics, companies can
enhance decision-making regarding asset acquisition and management, allowing for smarter capital expenditures. –Brian Antonellis CTP, SVP Fleet Operations, Fleet Advantage SUPPLY CHAIN EFFICIENCY. When items can be tracked through the supply chain, AI can predict demand, flag potential shortages, and automate replenishment cycles, helping to streamline operations. –Jeff Dossett Chief Revenue Officer, Impinj
CUSTOMER SERVICE. AI-powered chatbots/platforms will boost customer service by streamlining inquiries, tracking, and issue resolution, improving overall experiences and reducing costs. –Ari Widlansky PROCESS EFFICIENCY AND INFORMATION SHARING in the near term since AI enables intuitive onboarding and guiding users through tasks. In the long term, AI has the potential to revolutionize U.S. Managing Director and Chief Operating Officer, Esker supply chain logistics by synthesizing intelligence across risk mitigation and route optimization. –Doug DeLuca Product Marketing Manager, SAP Business Network PRODUCTIVITY. AI’s greatest impact won’t be on one thing like route optimization or inventory management. Rather, it will help connect all these functions, breaking down silos and refocusing workers on more strategic
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November 2024 • Inbound Logistics 11
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