The Positive Impacts of Big Data on the Supply Chain

Posted on December 19, 2018

As companies collect and analyze more data, supply chains and warehouses operations will most likely be improved, trending towards transparency and efficiency. JLL identified six likely benefits of big data across the supply chain:

  • Enhancing predictions and planning: What do customers want and when? Being able to predict the demand of shoppers can make supply chains and warehousing more proactive. Greater use of consumer spending data through algorithms should make supply chains more nimble and reactive.
  • Keeping a closer eye on goods: Technological advancements mean it’s now easier to track and trace products than ever before. Track and trace systems will create more certainty along the entire supply chain.
  • Getting more from distribution networks: Many businesses only review their distribution networks on an infrequent basis, often using incomplete data sets and with limited insights on developing trends. This is where big data could prove useful.
  • Delivering goods more efficiently: The growth of e-commerce has meant that more packages leave warehouses than enter them; one box of gadgets from a wholesaler could go on to 10 or more separate addresses. Being able to improve scheduling and routing of deliveries is a potential cost cutter especially when it involves multiple drops.
  • Reducing risk from the elements: Big data can help lessen supply chain risk from external factors – such as the weather.
  • Creating smart warehouses: Another way to improve efficiency and cut costs is within the walls of the warehouse itself. More connectivity – for example through new 3D digital tools – can boost the efficiency of operations inside, as well as energy performance.
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