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We propose a 2-stage stochastic programming formulation for the design of a priori supply routes and time slot assignments and a pattern common approximation algorithm for its resolution. If effectivity additionally takes into account the utility losses of bidders whose reservation was canceled, we show that our mechanism matches (for acceptable values of the parameters) an upper bound on the competitive ratio of any deterministic online algorithm. The mechanism as well as has optimization guarantees. Its revenue is within a constant fraction of the a posteriori income of the Vickrey-Clarke-Groves (VCG) mechanism which is understood to be truthful (in the offline case). Our primary result's an online mechanism for allocation and pricing in this model with many fascinating game-theoretic properties. Then again, media publishers (sellers) characterize an unlimited and varying inventory, and they too search automatic, on-line mechanisms for pricing and allocating such reservations. 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