Tuesday, April 23, 2013

Big Data in Logistics


source: http://www.oracle.com/us/corporate/profit/opinion/021512-sswaminathan-1523937.html

Big data has shown that it can change an industry and it proves to do the same for third party logistics. So what does logistics mean? Logistics can mean a lot of things. Mainly it contains the section of supply chain management business that controls, implements and plans the transportation of goods and its efficiency in doing it. It also accounts for the storage of items and goods and services between salesmen and customers.  Big data gives shippers, 3PLs (third party logistics), and carriers a whole new advantage over their market. Companies that use big data in the correct ways will get increased visibility of future opportunities.

Below are some ideas and applications of Big Data analytics in Logistics:

  Source

  Opportunity
  Weblogs
  Patterns that customers show when shopping at certain times of the year 
 
  Trailer tags 
   Insight into the times of which trucks arrive/leave and finding reasons for delay
 
  Pallet/Case/SKU
  tags
 
   Insight into the times of which packages arrive/leave and finding reasons for delay
 
 Electronic on-board recorder 
   Insights into travel times, load/unload times, and driver hours
 
  Mobile devices 
   Insights into mobile application usage by customers, partners, and employees
 
  Social platforms 
   Customer insight —who “likes” your products, who has advocated your products, 
    who has issues, and what their issues are


1 comment:

  1. Large parcel companies are/have been using big data to improve their efficiencies. These companies, such as UPS and Federal Express, use the applications listed above, as well as others to collect data. Monitoring this information can lead to a great deal of insight. They can then interpret and use this data to learn, for example, traffic tendencies in specific cities at specific times or dates. They use this information to determine time per delivery. This can then be used to determine how many trucks they need on the road in these areas to complete deliveries on time.

    This is just one example of how parcel companies use big data to improve their businesses. The possibilities are great in number.

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