Dwight Jacobs

At Manifest 2026, Scott Luton caught up with Marina Mayer, Editor-in-Chief of Food Logistics and Supply & Demand Chain Executive, and Co-Founder and Content Director of the Women in Supply Chain Forum, for a conversation that cut through the tech buzz and landed squarely on what matters most: people. Marina leads two influential digital publications covering the full spectrum of supply chain — from temperature-controlled cold chain logistics to e-commerce and retail — along with four major industry awards programs and the rapidly growing Women in Supply Chain Forum, now entering its fifth year. But amid all the innovation on display in Las Vegas, her message was refreshingly grounded.   Disruption Is the Baseline. Proactivity Is the Shift When asked about dominant themes shaping the industry, Marina didn’t hesitate. One common theme linking 2025 and 2026 is that “disruptions obviously still exist,” she said. From tariffs to trade wars to Mother Nature, the hits keep coming. What’s different in 2026 isn’t the disruption itself; it’s the response. Instead of dwelling on what’s gone wrong, companies are getting proactive. Leaders are “acting on it and being proactive about getting in front of it,” she noted. Since COVID, organizations have learned that…

Companies are rapidly integrating generative AI into procurement and sourcing decisions. The promise is obvious. AI can read thousands of pages of supplier proposals faster than any human team, summarize technical requirements in seconds, and create the appearance of consistency and objectivity in evaluation. But there is an important distinction managers are starting to overlook. The same AI system that performs extremely well at identifying whether a supplier meets minimum requirements may perform much less reliably when judging which supplier is truly better. Recent research published in the Journal of Business Logistics examined this issue by comparing how large language models evaluated supplier bids against evaluations completed by experienced procurement professionals. It analyzed 123 supplier proposals tied to 31 public procurement projects conducted by the State of Ohio between 2023 and 2024. The projects involved complex IT services contracts, many containing large, text-heavy bid packages requiring evaluative judgment rather than simple arithmetic comparisons. The researchers tested three reasoning-oriented AI models: OpenAI o3, Grok-3-Mini, and DeepSeek R1. They then compared their evaluations against human procurement scores. The findings revealed a surprisingly clear pattern. AI performed well when evaluating compliance signals. These are signals tied to baseline qualifications and technical requirements. Does…