A computerized method for learning a delivery point of a first mail piece by using unmatched and/or unused data from at least one other mail piece is disclosed. The method comprises the steps of: (a) capturing a text string from said other mail piece using capture means; (b) comparing said text string to a first set of preexisting data in an address database to determine a match for said other mail piece according to a first set of predetermined rules; (c) separating the matched and used data from the unmatched and unused data for said other mail piece determined by step (b); and (d)correlating said unmatched and/or unused data from said other mail piece to a second set of preexisting data relating to said first mail piece according to a second set of predetermined rules, wherein upon the presentation of a third mail piece to the capture means with the same intended delivery point as the first mail piece and having similar unmatched and/or unused data as the at least one other mail piece, the correct point of delivery for the third mail piece can be automatically determined. The invention further comprises a computerized system for learning a delivery point of a first mail piece by using unmatched data from at least one other mail piece, comprising: (a) means for capturing a data string of address information from said other mail piece; (b) a directory retrieval system database comprising a set of preexisting data relating to said other mail piece and further comprising means for separating matched data from the unmatched data; (c) a tag database comprising the unmatched data; (d) a tag archive; (e) means for correlating the unmatched data to the set of preexisting data according to a plurality of predetermined rules; (f) a rules database comprising said plurality of predetermined rules; and (g) a learning database to determine said delivery point of said first mail piece upon its presentation to the capture means after said other mail piece has been processed by the system.