The first article talks about four cases of application of real-time data in retail industry, among which the first one is the most interesting. It is a case for a fuel retailer to collect real-time data of fuel product mix and consumption rates from sensor in service station or convenience store. The data make it faster to market with offers, and better to position revenue and agility because offers can be instantaneously changed to respond to customer demand shifts.
The second article talks a single case of combined real-time identification and visualization. Retail businesses want to know customer needs and feedback in order to respond more targeting, real-time collecting systems use powerful data mining infrastructure to collect real-time data on social media, such as Tweets. For example, a clothing retailer wants to find out differences in customer reaction from different states to a certain defects, they could use real-time data from social media to see the negative and positive comments on its brand. After a spatial visualization, the retailer could readily find out the most intense complaints on the map and adopt methods such as extra discounts to dispose the defected items in that area. The following picture is the demonstration of a collected and visualized data.
What applications of real time do you think there are in other industries other than retail?