Research On Dynamic Pricing Of Fresh Products Based On Consumers' Time Preference

Economic development is changing with each passing day,and people's living conditions have changed dramatically.People are no longer just satisfied with food and clothing,but are increasingly pursuing a high standard of living.Slowly fresh products began to enter people's sights,and until today they have become an indispensable consumer product in people's daily lives.At present,the annual scale of fresh products in China is about 2 trillion yuan,accounting for 5% of the total retail sales of consumer goods in the country.Among them,fruits and vegetables,meat and poultry eggs,aquatic products,milk and dairy products accounted for about 55%,17%,16%,and 9% of the scale of fresh product transactions.Because fresh products are perishable,not easy to store,and have high transportation costs,over the course of their transportation and sales,over time,not only the freshness of the product will decline,but its nutritional value will also slowly be lost.It is often difficult for consumers to buy cheap and high-quality fresh products.Therefore,consumers' purchasing decisions in the purchasing process will change over time,and the main reason for this is that consumers have a time preference behavior in the purchasing process.Therefore,for fresh products,if retailers still adopt the same static pricing strategy as usual,they will not be able to obtain higher profits.On the contrary,if a multi-stage dynamic pricing strategy with strong flexibility and practicability is adopted,the retailer can adjust the sales price in a timely manner according to the changes in the actual consumer market demand,so as to maximize profits.Based on this,from the perspective of consumer's time preference and price,this article takes the maximization of retailer's profit as the core.First,the sales cycle of fresh products is divided into fresh period and recession period.The consumer time preference function is constructed.The software plots and analyzes the impact of freshness factor and discount factor on market demand.Then construct a continuous multi-stage dynamic pricing model,and use a dynamic programming algorithm to find the optimal price at each stage,so as to determine the optimal retail pricing sequence.Then,through numerical simulation,the impact of pricing times,freshness factor and discount factor,and price elasticity index on pricing strategy and retailer's expected profit is tested,so as to test whether the established model is correct.Finally,based on the operating laws of the fresh product market and the characteristics of the product,three relevant suggestions are put forward to the retailer's daily sales behavior and pricing strategy to maintain product freshness,conduct appropriate promotional discounts,and adjust consumer price sensitivity to help retailers use It gets the highest profit.