Data Analytics for Supply Chain Management Infographic

Today we have an infographic covering data analytics for supply chain management. It goes through the four types of data analytics for logistics and supply chains:

  • Descriptive Analytics
  • Predictive Analytics
  • Advanced Analytics
  • Prescriptive Analytics

This infographic also looks at how analytics can help logistics, and some great stats.

Big data solutions have helped large retail supply chains monitor customer behaviour and make more accurate predictions of customer preferences.

Recent studies by KPMG showed that leading retailers have used big data and analytics to increase forecasting efficiency in new stores by 92% within 12 months of setting up data analytics.

Supply Chain Management can potentially help you with improving your supply chain, paired with other areas of supply chain consultancy.

You can feel free to use this infographic or any of its sections in your own material.

All we ask is that you attribute us with a link to this article where it is used, and use the same license.

If you are interested in finding out more about how data analytics can help with your supply chain management, why not get in touch with our supply chain consultants?

Data Analytics for Supply Chain Management


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Supply Chain and Logistics Specialists

Call us on +44(0) 1926 430 883​

Supply chain and Logistics Specialists highly experienced in all aspects of Supply Chain and Logistics Operations,
Distribution Network Strategy, Warehousing Operations, e-commerce Logistics and Warehouse and Distribution Centre Design.