Optimizing E-Com warehousing through strategic automation: An agile framework for enhanced efficiency

The e-commerce warehousing landscape has undergone significant transformations in recent years, particularly in the wake of the COVID-19 pandemic, leading to increased demand for automation technologies. This research aims to identify critical factors influencing the selection of Automated Storage and Retrieval Systems (ASRS) and Autonomous Mobile Robots (AMRs) in e-commerce warehousing operations. By examining operational profiles, strategic objectives, automation technologies, cost-benefit analyses, and implementation considerations, this study provides a framework for designing an automation-forward warehouse. This framework aims to enhance operational efficiency and competitiveness in the e-commerce sector, offering valuable insights for retailers seeking to optimize their warehouse operations and remain competitive in the dynamic e-commerce landscape.

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