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‘AI is eating software’ and it is redefining supply chain decision-making as a result

Wednesday, March 18, 2026 · Brian Straight
Agentic AI is transforming supply chains from deterministic, rule-based systems into adaptive, insight-driven networks that prioritize real-time decision-making, root-cause analysis, and capital-efficient innovation.

Garbage In, AI Out: Why Data Discipline Drives Supply Chain Optimization

Tuesday, March 17, 2026 · Steve Paul
In this webinar, Elenna Dugundji, Director, Deep Knowledge Lab for Supply Chain and Logistics Research Scientist with MIT explores why data discipline remains the foundational driver of supply chain optimization. Our discussion will examine the critical role of data…

Spend aggregation gives way to new approaches in a tariff-driven supply chain

Tuesday, March 17, 2026 · Brian Straight
Procurement is shifting from cost-driven spend aggregation to risk-adjusted sourcing strategies as tariffs, geopolitical volatility, and supply chain disruptions force companies to prioritize resilience over pure savings.

Buffer or suffer: Dynamic Multi-Echelon Inventory Optimization in action

Monday, March 16, 2026 · Eva Ponce, Vi Duong and Nic Holwerda
Dynamic Multi-Echelon Inventory Optimization enables supply chain leaders to balance service levels and working capital by optimizing inventory across the entire network rather than individual locations.

How P&G’s One Supply Chain strategy exemplifies the Perfect Order

Monday, March 16, 2026 · Norman Katz
Procter & Gamble’s One Supply Chain strategy is an example of how aligning operations, forecasting, logistics, and supplier collaboration around the “Perfect Order” framework enables companies to deliver the right product, at the right time and cost, while turning…

What’s the missing ingredient in supply chain visibility?

Friday, March 13, 2026 · Brian Straight
True supply chain visibility in 2026 depends less on tracking shipments and more on synchronizing data across systems, ensuring a trusted single source of truth, and building AI-driven decision tools on high-quality, interoperable freight data.

What It Really Means: Balancing demand and supply

Thursday, March 12, 2026 · Andrew Byer and Mike Dobslaw
Balancing demand and supply in supply chain planning means aligning demand forecasts with production, inventory, and distribution capabilities so companies can meet customer needs efficiently without costly operational disruptions.

The freight market’s new reality: More risk, fewer signals

Wednesday, March 11, 2026 · Brian Straight
Despite shifting headlines in the freight market, cargo theft, fraudulent carriers, regulatory enforcement, and tightening capacity are quietly increasing transportation risk, making continuous carrier vetting, human oversight, and proactive risk management essential for…

Rethinking customization in warehouse automation

Tuesday, March 10, 2026 · Brian Straight
Supply chain leaders implementing warehouse automation should avoid overly customized systems and instead prioritize modular, composable architectures that improve scalability, reduce operational risk, and adapt to changing fulfillment demands.

Shattering the AI pilot trap

Monday, March 9, 2026 · Brian Straight
While enthusiasm for generative AI in supply chains is high, most companies remain trapped in pilot programs because successful deployment requires workflow-level problem definition, embedded agents, and disciplined governance rather than simply applying new AI models.

The complexity of the pharma supply chain

Friday, March 6, 2026 · Rosemary Coates
Pharmaceutical supply chains are among the most complex in the world, combining global sourcing dependencies, strict regulatory oversight, temperature-controlled logistics, and geopolitical and cybersecurity risks that make planning, manufacturing, and distribution far more…

Training in the real system: How immersive projects prepare the next generation of supply chain professionals

Thursday, March 5, 2026 · Corrine Chen
Immersive, industry-embedded supply chain projects place students inside real operating systems, helping them build stronger applied capabilities in lean thinking, process mapping, and operational analysis than traditional textbook case studies.

How to rethink talent when AI executes your supply chain

Wednesday, March 4, 2026 · Amanda Dyson, VP of marketing, FourKites
As AI agents increasingly automate supply chain execution, companies must redesign talent strategies to prioritize relationship management, critical thinking, and organizational influence rather than traditional process-based operational skills.
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From operations to orchestration: The CSCO’s nexus role in a synergistic C-Suite

Tuesday, March 3, 2026 · Paul Hong, Doug Reinart, and Steve Miller
As volatility, digital acceleration, and cross-functional complexity intensify, the CSCO is evolving from operational leader to enterprise orchestrator, aligning finance, technology, and market strategy into a unified system of resilience and growth.
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To lead with Gen AI, become an integrator

Tuesday, March 3, 2026 · Tom Davis and Dennis Oates
As generative AI reshapes knowledge work, supply chain leaders must orchestrate people, processes, and intelligent systems, shifting from automation to integration to unlock real performance gains.
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