Abstract: Machine(s), method(s), and media involve receiving at least one network-based communication regarding strain-related characterizing selections; generating at least one ad hoc matching calculation weighting system based at least in part upon the receiving at least one network-based communication regarding strain-related characterizing selections; using the at least one ad hoc matching calculation weighting system with strain candidate data stored in the at least one database to at least in part determine at least one strain candidate score for at least one strain candidate; and outputting at least one network-based communication regarding at least one strain recommendation based at least in part on the at least one strain candidate score. In addition, other aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A strain product finder is arranged, for example, to receive a strain product search request from a particular customer. A list of highest matching strain products is generated in response to searching a strain objects database for strain products to determine highest matching strain products by comparing each of the sets of stored ranked outcomes with a set of ranked outcomes determined for the customer. At least on vendor dispensary for dispensing at least one of the highest matching strain products is selected in response to querying a vendor inventory. Search results are sent to the customer, wherein the search results are determined in response to a location of each of the selected vendor dispensary and a customer location associated with the particular customer.