Through the operation of the technique of Big Data Analytics, very useful inferences can be derived from the large quantity of data captured or collected. The results of such analyses are presented in graphical display and heat maps in the dashboard available to the sales and operation managers of the promotion.
Here’s a good illustration of Big Data Analytics in action:
Two days into the running of a new promotion in the Cape Town area, the PizzzAR service platform had collected large aggregate volume of entries in Good Deals Folders of a certain food item, say 250 gram sirloin steak being offered at Rand 100 each which indicated that there was a great deal of interest in the item. And yet the sales figures report from certain store locations of Food Bascais showed that there were below average quantities of the sirloin steak sold.
An alarm was set off to investigate the reason/cause of such performance. As it happens, it was found that some competing grocery stores were offering concurrently a 250 gram sirloin steak at Rand 98.
Food Bascais then quickly reduced the price of the 250 gram sirloin steak to Rand 95 in order to maintain their best-value policy and to ward off the competition.
Note that changing the price of the special promotion in the AR-enabled presentation of the advertisement/promotion message can be made by the advertiser in/with a few keystrokes.
On a positive note, if the data analyses show that a certain promotion is working extremely well and the supply of the food item is being depleted faster than anticipated, the advertiser can make a decision to adjust the special price higher and thus making a larger profit margin in the sale of the item.
Supply-Chain incident-based price adjustment
In the event that an unexpected occurrence has caused the supply to be short for the item being advertised/promoted, the advertiser can decide to remove or suspend the AR-enabled promotion or raise the special price offer to safeguard the situation or to get better profit margin for the item sold as the case may be according to supply and demand consideration.