Research On Dynamic Pricing Strategy For Fresh Food

As a common consumer product,fresh food has become an indispensable part of people's daily life.Fruit and vegetable seafood stores can be seen everywhere,Taobao's home page also sets "fresh" and "food" as the main sales segment.The sales and market penetration of fresh foods are increasing year by year,which brings huge business opportunities for retailers engaged in fresh market transactions.Therefore,how to develop a suitable pricing strategy in the marketing process to maximize profits is the primary problem that many retailers need to solve.However,existing pricing for fresh foods sometimes ignores the impact of freshness on consumer purchases,or even if the freshness is taken into account,it is not well characterized and embodied in the model.In this paper,a freshness function is reconstructed for this problem.The basic market demand is taken as the coefficient of freshness,and a dynamic pricing model of fresh food considering freshness is established to maximize the profit of retailers.Given that continuous price changes are not common in practical applications and are not practical;single pricing is limited to special industries such as rail transportation.Therefore,this paper will study the multi-stage dynamic pricing problem.Taking two stages as an example,it proves that the profit of two-stage dynamic pricing is always higher than that of single-price,but the order quantity of dynamic pricing and single pricing is equal;and the concept of retaining prices is used to represent the consumer's choice behavior.From the arrival process and selection process of consumers,the expression form of demand function is introduced,and the element of freshness is integrated into the demand function.A two-stage dynamic pricing model of fresh food under the condition of freshness randomness is established.The Hessian matrix for solving the extreme problem of the binary function proves that the model has the optimal solution,and the price of the single price is between the first phase and the second phase of the two phases;then considering the freshness and the value loss The characteristics of time variation,borrowing from the commonly used one-dimensional linear demand curve in microeconomics and the differential equation with exponential decay rate inventory,also aiming at maximizing the economic benefits of retailers,establishing an optimization model,and finally obtaining the optimal price is about value loss.In the end,considering the comparison between the existing price and the previous price that the consumer will make during the purchase process,forming a price reference dependency.Therefore,a two-stage fresh food pricing model considering freshness and reference dependence was established,and the Hessian matrix was used to prove the existence of the optimal solution.Each of the above mentioned models will analyze the sensitivity of each parameter to explore how different parameters affect the optimal price,maximum profit,optimal order period and optimal order quantity.In short,this paper solves the pricing problem of fresh food under the conditions of deterministic demand and random demand.In order to be closer to the real problem,on the basis of above,the value loss and price reference dependence were considered respectively,which enriched the previous model,and verified the scientific and effectiveness of the new model based on the analysis of the example.