Integrating advanced analytics and AI is proving transformative as the energy sector grapples with challenges in efficiency, environmental responsibility, and resilience. Technology’s ability to ...
Highlights$3M in funding from NRCan's Energy Innovation Program.Funds ongoing development, process optimization and ...
UNFI Q2 2026 earnings call recap: raised EBITDA/EPS outlook, strong free cash flow and deleveraging, AI supply chain rollout, sales trimmed—read now.
Digital technologies can support circular economy strategies by enabling product lifecycle tracking, predictive maintenance, remanufacturing coordination, and reverse logistics optimization. However, ...
Agentic AI is reshaping retail and e-commerce operations by optimizing inventory deployment and operational efficiency at the same time as building customer trust.
Supply chain executives who embrace change will best position their organizations for the future of supply chain optimization ...
Supply chains built on fragmented systems and manual processes can’t keep pace with rising complexity. This article outlines ...
Effective July 1, 2023, the underlying Mergermarket data supporting the M&A Explorer was consolidated with Dealogic data to produce an even more complete picture of the M&A marketplace. M&A Explorer ...
The partnership will support efforts to enhance control and efficiency within the merchandise supply chain. The partnership builds on McLane's 3PL capabilities and aligns with broader strategy to ...
The landscape of modern industry demands more than efficiency; it requires seamless integration between manufacturing processes and supply chain systems. A single disruption in this interconnected ...
Supply chain network design and optimisation constitute a pivotal element in modern logistics and operations management, aiming to configure facilities, transportation routes and inventory systems ...
The blood supply chain represents a critical intersection between healthcare delivery and operations management, where the challenges of perishability, uncertain demand, and logistical constraints ...