Inbound Logistics | January 2026

ON THE DASHBOARD

Autonomous decision engines. AI-driven applications for automated decision-making. Integrated visibility platforms that connect TMS, WMS, and ERP systems across the supply chain. FRANK GRANIERI , Chief Commercial O€cer, A. Duie Pyle

Agentic procurement AI that autonomously drives sourcing, negotiation, and risk actions while keeping humans in the loop for oversight and strategic decisions. Predictive digital twins that simulate supply scenarios in real time. And adaptive workflow platforms that learn from user behavior and streamline complex processes without sacrificing human expertise. ERIN MCFARLANE , VP for Operations, Fairmarkit

Machine learning, generative AI, agentic AI JENNIFER CHEW , VP, Solutions and Consulting, Bristlecone

’ Chatbots for package status updates and quick solutions ’ Extreme weather predictions that communicate weather-related delays ’ Semi-autonomous delivery vehicles

Modeling/simulation software and technologies will be needed to identify and mitigate risks and potential disruptions, determine flow of goods, and maximize flexibility and performance within supply chains. AI and machine learning will be heavily utilized within supply chains in the coming months and years. The variability in demand signals, shifting customer/consumer behaviors, and use of AI in performing human tasks will provide endless opportunities for application. Automation and collaborative technologies will mitigate labor and skill shortages while improving e ciency, space utilization, and cost performance. J.C. RENSHAW , Head of Supply Chain Consulting – North America, Savills Data platform and AI tools to support custom supply chain management tech such as Databricks , Snowflake, and Azure Fabric ( Microsoft Azure & CDW ). BRIAN PACULA , Partner, Supply Chain, West Monroe

JAMI CARUSO , VP, Customer Operations & Home Delivery, uShip

1. AI-supported warehouse orchestration systems (WOS) 2. Forecasting and planning agentic AI integrated into purchasing processes 3. Company-owned, flexible, AI-driven transportation and fulfillment management

NATE ROSIER , SVP, Supply Chain Consulting, enVista

’ Dynamic contracting engines that adjust rates and terms in real time ’ Predictive network twins that reroute freight before disruptions occurs ’ Edge AI visibility systems embedded directly in shipments, turning every parcel into a live data point MATT HUCKEBA , Chief Strategy O€cer, Evans Transportation

1. AI supply chain copilots that sit on top of TMS/WMS data and drive decision support. 2. End-to-end visibility and risk control towers that integrate physical flows, financial exposure, and insurance.

MICHELE MCGINNIS , CEO, Mikargo247

January 2026 • Inbound Logistics 91

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