Friday, May 29, 2026 · Akshat Doshi & Rijuka Jain
Satellite and Earth-observation data are emerging as a critical supply chain visibility tool, enabling organizations to detect disruptions days or even weeks before traditional systems and make faster, lower-cost decisions.
Friday, May 22, 2026 · Brian Straight
As geopolitical disruption, transportation volatility, AI-driven demand shifts, and changing trade dynamics reshape global logistics, supply chain leaders are being forced to abandon static planning models and prioritize agile, outcome-driven technology strategies built around…
Friday, May 15, 2026 · Morgan Swink, Christy Christian and Phil Howell
Advanced planning technologies combined with stronger data, processes, and AI capabilities are transforming supply chain planning, enabling faster decision-making, greater resilience, and measurable financial gains for organizations that invest in next-generation planning…
Friday, May 15, 2026 · Brad Barry
The rules of supply chain network design (SCND) have fundamentally shifted. In an era where volatility is the only constant, a supply chain modeled solely for stability is no longer an asset, it is a strategic liability.
Wednesday, May 6, 2026 · Mike Burnette
Benchmark supply chains are shifting from internally driven planning to a Right-to-Left model synchronized with actual consumption. The result: lower inventory, stronger service, and measurable gains in total value.
Monday, March 23, 2026 · Bijoy Sasidharan
AI-driven forecasting only delivers real business value when organizations rigorously measure forecast value add (FVA) to ensure every model, agent, and human intervention improves operational decision-making.
Tuesday, March 3, 2026 · Saravana Venkatachalam and Arunachalam Narayanan
Supply chain planning tools are not new. Most organizations today rely on established systems for demand planning, supply planning, inventory optimization, and network design. These tools are typically operated in a human-in-the-loop model: planners run scheduled processes…
Monday, March 2, 2026 · Karin Bursa
In a world of constant disruption and exponential data growth, supply chain performance increasingly depends on how quickly leaders can detect change, decide with confidence, and convert decisions into coordinated action at scale.
Monday, March 2, 2026 · Larry Lapide
Futurism often overpromises insight into distant futures while offering limited practical value for the real planning decisions supply chain leaders must make today.
Thursday, February 26, 2026 · Andrew Byer and Mike Dobslaw
“Bringing the outside in” means shifting supply chain planning and execution from internally driven metrics to real-time, market-based data such as POS, competitive activity, and external events to improve service, stability, and financial performance.
Wednesday, February 25, 2026 · Joseph Coughlin
Demographic change, including aging populations, declining fertility, smaller households, and regional workforce fragmentation, is reshaping demand patterns, labor availability, and last-mile expectations, making demography a critical but overlooked strategic variable in…
Thursday, January 22, 2026 · Andrew Byer and Mike Dobslaw
Democratizing supply chain data means giving frontline planners and operators across U.S. and global supply chains real-time access to accurate, usable information, turning data into a business asset that improves planning, execution, and accountability rather than an…
Monday, December 1, 2025 · Larry Lapide
To elevate S&OP from tactical to strategic, supply chain leaders must speak the language of finance—and involve finance early and often.
Friday, November 14, 2025 · Bakul Sharma
Supply chain planning leaders are shifting from “platform wars” to outcome-driven transformation, prioritizing measurable business impact through change management, data governance, and AI-enabled decision agility.
Monday, September 22, 2025 · Jan Snoeckx, Director Analyst, Gartner Supply Chain
Agentic AI is reshaping supply chain planning, and although mainstream adoption may be several years away, learning how to prepare your systems, culture, and governance to capture competitive advantage from autonomous planning agents starts now.
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