[sajeevaravind]

Short answer is Vaultedge will create search index based on the content of the bill and also has additional knowledge that it is a cell phone bill from its classification algorithm. Put together this will allow user to search for "last month's cell phone bill".

Long answer: Let's say your bill is in pdf or html format. For Vaultedge initially it is nothing but a document, it has no idea that it is a bill. Vaultedge will extract the contents of this document and test it against our training data set using Machine Learning(ML). In this process, the document will be identified as a "Bill". Then it will apply it on a different training set which will identify it as a "cell phone" or "cable bill". Then we do further analysis and extract info like this bill is "for the month of march 2016". Now all of these info is used to construct the search index. So you can search now for "march bill" or "last months bill" to get to that bill. Please don't hesitate to clarify if anything is not clear.