When　freight　forwarding　companies　apply　blockchain　technology　to　build　a　shipping　logistics　platform,　they　need　to　discuss　how　to　make　the　best　investment　decisions　and　how　to　coordinate　supply　chain　members.　This　paper　first　combines　the　development　status　of　the　shipping　logistics　industry,　puts　forward　a　conceptual　model　that　uses　the　integration　of　blockchain　technology　to　build　a　shipping　logistics　blockchain　platform　with　freight　forwarding　companies　as　the　main　body.　Then,　the　Stackelberg　game　method　is　used　to　discuss　the　impact　of　information　sharing　on　investment　decisions　under　the　application　of　the　shipping　logistics　blockchain　platform,　and　the　contract　of＇service　cost　allocation　and　benefit　sharing＇and＇blockchain　cost　allocation　and　benefit　sharing＇are　designed　to　coordinate　the　supply　chain.　Finally,　numerical　analysis　is　used　to　verify　the　results.　The　results　of　the　study　found:(1)The　investment　threshold　of　freight　forwarding　companies　investing　in　building　shipping　logistics　blockchain　platforms　is　related　to　the　unit　cost　optimization　coefficient,　demand　information　forecast　amount,　and　price　sensitivity　coefficient.(2)Although　the　application　of　a　shipping　logistics　blockchain　platform　by　freight　forwarders　is　at　the　cost　of　information　sharing,　information　sharing　can　enable　freight　forwarders　and　shipping　companies　to　obtain　greater　benefits.(3)There　is　a　big　gap　between　the　optimal　decision　that　freight　forwarders　bear　the　blockchain　cost　and　service　cost　separately　under　decentralized　decision-making　and　centralized-decision　making.　The　contract　of＇service　cost-sharing-revenue　sharing＇and＇blockchain　cost-sharing-revenue　sharing＇can　realize　the　coordination　of　the　shipping　supply　chain　when　certain　conditions　are　met.　But＇block-chain　cost-sharing　and　benefit-sharing＇contracts　meet　more　lenient　conditions.　The　research　results　can　provide　theoretical　guidance　for　the　decision-making　of　freight　forwarding　companies　to　invest　in　building　a　shipping　logistics　blockchain　platform　and　coordinating　members　of　the　supply　chain.　©　2023　Journal　of　Computer　Engineering　and　Applications　Beijing　Co.,　Ltd.;　Science　Press.　All　rights　reserved.