Achallengingprobleminrealworldlogisticsapplicationsconsistsinplanningserviceterritoriesforcustomerdeliveries,incontextswherecustomersmustbeclusteredintogroupsthatsatisfyvariousconditionssuchasbalanceandconnectivity.InthispaperweproposenewalgorithmsforproducingsuchclustersbaseduponspecialproceduresforexploitingThiessenpolygons.Ourmethodsareabletohandlemultiplecriteriaforbalancingtheclusters,suchasthenumberofcustomersineachcluster,theservicerevenueineachcluster,orthedelivery/pickupquantityineachcluster.Computationalresultsdemonstratetheefficacyofournewprocedures,whichareabletoassistuserstoplanservicepersonalserviceterritoriesandvehicleroutesmoreefficiently.