Big Data Analytics Adoption in Warehouse Management: A Systematic Review

Purpose: To overview and characterize the potential adoption of big data analytics (BDA) in warehouse management (WM). Methodology: The paper uses a systematic review to describe the budding area of big data analytics in warehouse management, provide the benefits, summarize an architectural framework and methodology, give and present examples from industrial case studies reviewed in the literature, briefly argue the challenges, and provide conclusions. Findings: The paper offers a wide overview of big data analytics for warehouse management researchers and experts. Originality/value: Big data analytics in warehouse management is promoting into a promising domain for supplying insight from large data sets and enhancing results while decreasing costs. However, there exist challenges to conquer.