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Logistics Optimization Adoption in Data Science Teams: Scaling And Replication — Post-Pandemic Lessons

• AI
• IoT
• Governance

Abstract

This policy brief investigates “Logistics Optimization Adoption in Data Science Teams: Scaling And Replication — Post-Pandemic Lessons” using a mixed-methods case study. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.