Abstract The socialized services providers are shared by crowdsourcing services platforms to meet the stochastic logistics demand. The dynamic pricing model for crowdsourcing logistics services is built considering socialized services capacity and accumulative cost of losing orders. The optimal solution is deducted using Pontryagin maximum principle. The optimal pricing trajectory to balance the socialized service providing capacity and services demand is studied. And, the optimal pricing to further minimize the accumulative cost of losing orders caused by service provider shortage is analyzed. The numeric simulation results show that the dynamic pricing tactics of crowdsoucing logistics services could increase socialized capacity and expected revenue of platforms. And, socialized services providers with varying wage rates have the influence on pricing and revenue of crowdsoucing logistics services.
