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January 5, 2026
Supply Chain Now Announces Leadership Advancement and Showcases Industry-Leading Advisory Board to Fuel Growth in 2026
ATLANTA, GA — January 6, 2026 — Supply Chain Now, the award-winning global digital media platform recognized as the #1 Voice of Supply Chain, today announced the promotion of Mary Kate Love to President, effective January 1, 2026, alongside the continued engagement of a distinguished Advisory Board composed of proven leaders across supply chain, technology, strategy, and media. Together, these leadership updates signal Supply Chain Now’s next chapter of growth as the company prepares for significant expansion in 2026: scaling programming, partnerships, and demand-generation capabilities while staying rooted in authentic, practitioner-led content serving a global audience of more than 1 million listeners. In her new role, Love will lead Supply Chain Now’s strategic growth across programming, partnerships, operations, and long-term platform strategy, further strengthening its mission to inform, connect, and elevate the global supply chain industry. “Mary Kate is a trusted, decisive leader with a rare combination of delivering both strategic vision and operational excellence,” said Scott W. Luton, Founder and CEO of Supply Chain Now. “In 2025, she played a pivotal role in accelerating our revenue growth, expanding our audience to more than one million supply chain professionals, and sharpening our focus on delivering measurable value for both practitioners…
multi-echelon inventory optimization
July 7, 2026
Why Data Sharing Is the Missing Link in AI-Powered Supply Chains
Artificial intelligence (AI) is rapidly reshaping supply chain operations. From improving demand forecasting and inventory management to increasing operational efficiency, organizations across industries are investing heavily in AI to gain a competitive edge. Yet many companies overlook a critical requirement for AI success: access to trusted, high-quality data shared across the supply chain ecosystem. Supply chains have always relied on collaboration among suppliers, manufacturers, distributors, and retailers. In the AI era, that collaboration must become more intelligent. Organizations need timely, secure data exchange, both upstream and downstream, to provide AI systems with the information required to generate accurate insights and recommendations. When suppliers share real-time information about inventory levels, delivery schedules, and raw material quality, manufacturers can improve planning, reduce risk, and respond more quickly to disruptions. Likewise, when retailers share data about customer demand, inventory positions, and satisfaction levels, manufacturers can better align production and distribution with actual market needs. The result is a leaner, more agile, and more profitable supply chain. Despite these benefits, many organizations are still hesitant to share data. Concerns about security, intellectual property protection, competitive exposure, and integration complexity continue to create barriers. However, these challenges can be addressed through strong data governance, clear…