Advanced data analytics enables companies to attack the root causes of returns. By analyzing data across product quality, ...

More than three-quarters of surveyed organizations saw a rise in employee satisfaction after implementing AI, and over half ...

Geopolitics forces a structural redesign of supply networks, pushing companies toward regionalization, diversified suppliers, ...

Specialized and mission-critical logistics remain premium targets. Healthcare, temperature-controlled, dedicated transportation, and reverse logistics continue to attract strong M&A interest due to ...

Measures for operational innovation examine the effectiveness of adjustments to organizational processes. Common measures for this type include selling, general, and administrative expenses (SG&A) as ...

This can be achieved by prioritizing three strategies: Embedding AI into workflows, engineering profit through cost discipline, and stress-testing networks before the next disruption hits. In the year ...

Supply chains lack the required “high-fidelity” data and capabilities to operate in today’s complex business climate that is ...

Editor's note: The SCM thesis Optimizing Reverse Logistics Costs to Encourage a More Sustainable Future was authored by Ana Eislyn Cabrera García and Varsha Gurumurthy, and supervised by Dr. Sreedevi ...

In a global climate of rapid technological change and rising reliance on AI, this turbulence is shining a spotlight on the ...

An adaptive supply chain continuously detects constraints, adjusts routing and sourcing decisions in real time, and learns ...