Research On Logistics Cooperation Strategy In O2O Mode

With the rapid development of online shopping, online shopping has not been able to be effectively solved because of its single, small, scattered and high demand for services.Terminal distribution costs have accounted for more than 30% of the total cost of the logistics industry, logistics costs accounted for more than half of the total cost of online retailers,Visible,Using appropriate distribution strategy to significantly reduce logistics costs is the key for profitability.This paper summarizes the research status of distribution mode and distribution network optimization in two aspects. Analyzes the shortage of the high cost and slow response of the online shopping order response logistics. Through the example of terminal store delivering to customers, the development trend of retail model is separated from online and offline and converged.Based on the above background, this paper puts forward the logistics cooperation strategy in 020 mode. It explains the strategy meaning,analyzes the characteristics of stock transfer,strategy will advance in response to orders and collaborate in the logistics activities,the online and offline business cooperation in the strategy, specific measures and strategies on the operation. According to the characteristics of the traditional distribution mode of decentralized distribution and cooperation strategy,two kinds of distribution cost models are constructed; the genetic algorithm is designed to solve the corresponding model. Through a numerical example shows that the cooperative strategy proposed in this paper compared with the traditional distribution methods can effectively reduce distribution costs, shorten the waiting time of the customers, improve customer satisfaction, to verify the validity of the model and strategy. In addition, the inventory of the store in the store is studied under the cooperation strategy.To advance delivery quantity and time is analyzed; newsboy model,combined with the Bayesian information updating theory, constructs the demand density based on constantly updated businesses expected profit model; discusses the relationship between the first stage and later stage of early delivery delivery amount; and a numerical example is analyzed. Finally, it is concluded that when the first phase of the distribution is determined in advance, the distribution of the next phase of the distribution of demand can only be calculated after the update. So as to obtain the optimal distribution of the advance of the business, improve the whole solution to the problem of high cost of distribution solutions.