Dynamic price adjustment method for cargo transport order

Abstract

The invention provides a dynamic price adjustment method for a cargo transport order. The method comprises the steps that a) a server determines a cargo transport range according to a starting place and a destination sent by cargos; b) the server obtains an order cancellation rate, a passenger-driver ratio and an order display rate in real time in the determined cargo transport range; c) the server calculates a price adjustment coefficient according to the order cancellation rate, the passenger-driver ratio and the order display rate; d) a supply-demand threshold is calculated according to an average order cancellation rate, an average passenger-driver ratio and an average order display rate in the cargo transport range; and e) when the price adjustment coefficient is greater than the supply-demand threshold, the price adjustment rate of the order is adjusted, and when the price adjustment coefficient is smaller than or equal to the supply-demand threshold, the price adjustment rate of the order is not adjusted. According to the dynamic price adjustment method for the cargo transport order, provided by the invention, the supply-demand relationships between cargo senders and cargo transporters in specific regions can be effectively balanced.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method for dynamic price adjustment of freight orders. Background technique [0002] With the acceleration of economic integration, international and domestic trade activities tend to be more active, and the demand for transmission of a large number of goods and materials has prompted the emergence of the express delivery industry. Express delivery means that the shipper entrusts the delivery party to deliver the goods or materials to the destination in the fastest way. [0003] At present, with the rapid development of express transportation, the intervention of the information platform has greatly improved the convenience and speed of express transportation. However, due to the current situation of express transportation, the demand for freight is concentrated in a specific market. When ordering users concentrate on issuing orders to find vehicles, the supply of surroun...

AI Technical Summary

Problems solved by technology

However, due to the current situation of express transportation, the demand for freight is concentrated in a specific market. When ordering users place orders to find vehicles, the supply of surrounding drivers is insufficient, resulting in a problem of less than demand.

In addition, due to the uneven quality of orders, some orders are low in price and short in distance but have a lot of goods to be transported, and the driver is unwilling to accept them, or the order volume is too large. After being pushed to the driver's notification queue, the orders behind the queue cannot be effectively displayed. to the driver

[0004] These problems will cause users to be unable to find drivers as soon as possible to solve the freight demand, resulting in an imbalance between supply and demand

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