Logistics and Supply Chain Analytics: Benefits and Challenges

With the aim of reviewing and characterizing the potential use of supply chain and logistics analytics. The present paper uses a systematic literature review (SLR) to describe the budding area of big data analytics (BDA) in logistics supply chain management (SCM), 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. Furthermore, this work offers a wide overview of BDA for SCM researchers and experts. Finally, logistics analytics and BDA in SCM is promoting into a promising domain for supplying perception from big data collections and enhancing results when decreasing charges. However, there exist challenges to conquer.