Articles
Artificial Intelligence
Deploying Physical AI for Smarter, Safer Inbound Logistics
Physical AI will transform many aspects of the supply chain. Starting with a small, focused inbound logistics use case now can make your warehouse operations more efficient, accurate, and safe, as well as help your organization build the skills needed to extend Physical AI into other areas of your business.
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Enabling Smarter Government Logistics
If I have learned one thing in my decades of navigating defense logistics, it’s that we can’t afford to solve tomorrow’s readiness problems with yesterday’s systems. Artificial intelligence (AI) is the first new technology with the viability to change how we forecast demand, manage obsolescence, and optimize supply chains. But the path to realizing its potential is met with structural, cultural, and bureaucratic hurdles.
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How Agentic AI Is Redefining Route Optimization in Last-Mile Delivery
Traditional route optimization generates plans based on the data you give it. Agentic AI takes those plans and manages them through execution, making adjustments as new information arrive.
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Building a Future-Proof Supply Chain
For business leaders and supply chain professionals, tariffs—and their impact on the cost, availability, and sourcing of critical parts and raw materials—are top of mind. In addition to tariffs, companies have faced persistent risks and disruptions since the pandemic five years ago. The “new normal” is a business environment defined by variability and complexity, affecting nearly every industry.
Read MoreUnlocking Revenue Growth With AI
In the modern service economy, businesses face growing pressure to deliver value-driven customer experiences while maximizing profitability. Yet, many organizations remain tethered to outdated tools and manual processes that hinder operational efficiency and scalability.
Read MoreHow to Manage Lead Time With Machine Learning
The impact of lead time variability on supply chain management is a critical factor impacting operational efficiency, cost management and service delivery. Lead time involves decisions that determine optimal inventory levels, when to place orders and how much to order, stocking policy, available-to-premise calculations, supplier performance and supplier selection.
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DEI Erosion Threatens Safety. Artificial Intelligence May Help Pick Up the Slack.
Rollbacks on diversity, equity, and inclusion (DEI) efforts will exact a heavy cost on safety, compliance, and productivity on American industrial workforces, which grow more diverse every year. AI might help.
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Transforming Supplier Risk Management: The Role of AI and Predictive Analytics in Complex Supply Chains
Supply chains globally are growing at a massive scale. This interwoven web has become so complex, that it has become an insurmountable challenge for companies. With this growth, the supplier’s risks have increased exponentially.
Read MoreAI and the Essential Supply Chain Worker
When it comes to AI in the supply chain, we can choose fear or embrace change. Only one approach is likely to be successful.
Read MoreProtecting Supply Chain Trade Secrets
Very few businesses operating today do not use some kind of AI in most aspects of their operations. Therefore, the question of how to use AI to protect intellectual property, especially in global supply chains, requires some definition.
Read MoreWholesale Distributors Put AI to Work
Looming above all the day-to-day business pressures that wholesale distributors face is one overarching strategic imperative: Find ways to grow profitably—without increasing staffing levels. To meet that challenge, companies must attack it from multiple angles.
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