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The High Cost of Labor Firefighting and Systemic Attrition

Warehouses are not running out of labor. They are running out of labor that can sustain the pace. Manual firefighting, overtime, and constant reassignment push skilled associates to burn out faster than they can be replaced. The result is a cycle of turnover, training, and rising labor costs that slow performance and strain budgets.

This whitepaper breaks down the current state of labor in distribution, including turnover trends, overtime risk, burnout dynamics, and the true cost of churn.

Click here to download and see how labor forces impact throughput, planning, and workforce strategy today.

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February 25, 2021

This Week on Supply Chain Now: February 15th – 19th

It’s time for Supply Chain Now! Make sure you’re up to date on all the latest episodes, interviews, conversations, and livestreams right here!   On Monday, Tracie Ohonme & Angela Carlson with Samaritan’s Feet International joined us to talk about how their outreach has shifted due to COVID-19, leading with a servant-leader mentality, & more!     On Tuesday, Scott and Greg welcomed, VP of Client Solutions with Alloy, Logan Ensign, a business leader from an industry dynamo that is empowering companies to successfully bridge the gap between plans and reality.     On Wednesday, Mike Griswold, VP Analyst at Gartner, joined us to discuss the latest in retail supply chains from an analyst’s perspective.   On Thursday, Scott and Greg welcomed Jon Gold with NRF to share the key NRF takeaways and trade issues to keep an eye on.   On Friday, we replayed a recent livestream that kicked off our new partnership with The Assoication for Manufacturing Excellence (AME). Scott & Greg heard from Lee Alves with Simpler Consulting (an IBM Company), Jan Freyburgher with OpusWorks, Tony Spielberg with Cambridge Air Solutions, and Errette Dunn with Rever about the prevailing trends may drive manufacturing in 2021. Which was…
AI
September 25, 2025

The 3 Critical Questions Enterprise Shippers Ask Me About AI

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…