CSCMP has opened its 37th annual State of Logistics Report, "Forged in Disruption," at EDGE 2026, with coverage dated Nov 04, 2026. The companion Third-Party Logistics Study, now in its 31st year, is presented by Penske Logistics, NTT DATA, CSCMP, and the University of Tennessee Global Supply Chain Institute, and examines AI, 3PL-customer collaboration, freight fraud, and geopolitical disruption. EDGE 2026 sessions also cover North American nearshoring and the upcoming USMCA review with panelists from Kearney and Ford, agentic AI adoption presented by InstaLily, and quantum optimization led by D-Wave's Murray Thom.
According to www.thescxchange.com, the Council of Supply Chain Management Professionals (CSCMP) has opened its 37th annual State of Logistics Report, titled “Forged in Disruption,” as part of the EDGE 2026 conference, with coverage dated Nov 04, 2026.
The report is a flagship publication of the Council of Supply Chain Management Professionals, the organization referenced in the source as Supply Chain Management professionals’ body and the publisher behind the annual logistics review. The 2026 edition marks the 37th consecutive year of the study, placing its first edition roughly three and a half decades ago.
The source does not disclose the report’s headline freight or cost figures, so this article makes no claims about logistics spend, tonnage, or inventory levels for the 2026 cycle. What the source does confirm is the report’s thematic framing: disruption as the organizing condition for the year’s analysis.
Third-Party Logistics Study Enters Its 31st Year
A companion research program, the annual Third-Party Logistics (3PL) Study, is now in its 31st year, according to the source, and remains one of the industry’s leading sources of insight into the evolving relationship between 3PL providers and their customers.
The study is presented by Penske Logistics, NTT DATA, CSCMP, and the University of Tennessee Global Supply Chain Institute. That four-party structure pairs a major 3PL operator, a global IT services firm, a professional association, and an academic research institute.
This year’s edition examines artificial intelligence, 3PL-customer collaboration, freight fraud, and geopolitical disruption, per the source. Those four areas define the research agenda that the presenting partners will walk attendees through during the EDGE 2026 program.
North American Networks Under Review
A separate EDGE 2026 session, “North America Rewired,” examines how nearshoring, evolving trade policy, changing manufacturing strategies, and new logistics realities are reshaping supply chains across the continent, according to the source.
The panel brings together leaders from Kearney, Ford, academia, and industry, the source states. Discussion covers the evolving impact of Mexico on North American logistics networks, including USMCA, cross-border operations, transportation, sourcing, and investment trends.
Canadian and Mexican perspectives are included to address the upcoming USMCA review and what it could mean for the region. The session is presented by Mexpress Transportation, per the source.
Agentic AI and Quantum Optimization on the Agenda
A session presented by InstaLily argues that most AI purchased today is a rented tool that buyers will swap within 2 years, while agentic AI deployed directly on operations compounds into a proprietary intelligence layer the operator owns.
The source frames the distinction as an architectural choice: whether a company is building an asset or renting a tool. InstaLily presents a practical adoption playbook with real examples during the session.
A further session features Murray Thom, vice president of quantum technology evangelism at D-Wave, who presents a masterclass and demonstration on realizing value from quantum computing today. The source notes that supply chain and logistics operations face constant strain as networks grow more complex and customer expectations rise, pushing traditional optimization methods to their limits.
Source: thescxchange.com
Compiled from international media by the SCI.AI editorial team.
