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Returned freight insurance pricing method, pricing system and construction method thereof

A construction method and freight technology, applied in the return freight insurance pricing method and pricing system and its construction field, can solve the problem that the return freight insurance pricing cannot effectively take into account consumer needs and insurance profits, etc., to achieve reasonable pricing, improve construction efficiency, Computationally efficient effects

Pending Publication Date: 2022-05-06
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a return freight insurance pricing method, a pricing system and a construction method thereof, which are used to solve the technical problem that the existing return freight insurance pricing cannot effectively take into account consumer needs and insurance profits

Method used

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  • Returned freight insurance pricing method, pricing system and construction method thereof
  • Returned freight insurance pricing method, pricing system and construction method thereof
  • Returned freight insurance pricing method, pricing system and construction method thereof

Examples

Experimental program
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Effect test

Embodiment 1

[0030] A return freight insurance pricing method, such as figure 1 shown, including:

[0031] Based on the customer's behavior data and purchase data of the current purchased product, the return probability prediction model is used to predict the customer's return probability of the current product; the return probability is brought into the objective function with the goal of profit maximization, and the return freight insurance price is calculated.

[0032] Among them, the behavior data includes the current product information and behavior information generated by the behavior of clicking on the product, collecting the product, and adding the shopping cart; the purchase data includes the number of orders paid by the customer on the online platform, the order amount, and the return order. Quantity, return item information, and return amount.

[0033] This method is a pricing method based on a big data mining algorithm. This method makes full use of the sufficient and large a...

Embodiment 2

[0041] A method for constructing a return freight insurance pricing system, comprising:

[0042] Obtain a plurality of data samples corresponding to the order placed by the target customer, each data sample includes the target customer's behavior data and purchase data as described in a method for pricing return shipping insurance as described in Embodiment 1 for each corresponding product;

[0043] Based on each data sample, adopt a return shipping insurance pricing method as described in Embodiment 1 to obtain the return shipping insurance price of the commodity corresponding to the data sample;

[0044]Each data sample and its corresponding return freight insurance price constitute a piece of training sample data to obtain a training sample set, and input the return probability prediction model described in a kind of return freight insurance pricing method as described in Embodiment 1, to The return freight insurance price is used as the prediction target, and the return fr...

Embodiment 3

[0059] A return freight insurance pricing method, which is to obtain the behavior data and purchase data of the target customer's current commodity, and input it into the target customer's return freight insurance pricing system obtained by the method as described in Embodiment 2, to obtain the return of the target customer's current commodity Freight insurance price, complete the return shipping insurance pricing of the target customer's current product.

[0060] The system in Embodiment 2 can obtain the optimal pricing decision in one step without manual participation, and has high calculation efficiency. The system automatically gives the optimal return freight insurance price personalized for the customer.

[0061] The pricing method and system for return freight insurance designed in the above embodiments can effectively use customer behavior data and historical data, mine effective information from the data, and convert it into optimal price information through the price ...

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Abstract

The invention belongs to the field of goods return freight insurance pricing, and particularly relates to a goods return freight insurance pricing method, a pricing system and a construction method thereof, and the method comprises the steps: employing a goods return probability prediction model to predict the goods return probability of a customer for a current commodity based on the behavior data and purchase data of the customer for the current purchased commodity; and the return probability is substituted into the profit maximization objective function, and the return freight insurance price is calculated. Secondly, the optimal price obtained through the pricing method is used as a price soft target, the behavior data and the purchase data are used, the return probability prediction model takes the return freight insurance price as a prediction target, the error between the model prediction price and the price soft target is calculated, the model parameters are optimized, and the pricing system of each customer is obtained; the method is used for pricing the returned freight insurance of the corresponding customer. The method makes full use of sufficient and massive customer behavior data and historical data owned by e-commerce enterprises, can obtain the optimal pricing decision in one step, does not need manual participation, and is high in calculation efficiency.

Description

technical field [0001] The invention belongs to the field of return freight insurance pricing, and more specifically relates to a return freight insurance pricing method, a pricing system and a construction method thereof. Background technique [0002] With the dailyization of online shopping, the online orders of e-commerce companies are also increasing day by day, and statistical surveys show that on average, one return order will be generated in three orders. There are many reasons why customers choose to return products, such as product quality problems, consumers’ regrets after impulsive purchases, products that do not meet consumers’ expectations, and so on. Return freight insurance is a new type of insurance proposed by insurance companies and e-commerce companies to solve the losses caused by returns. Consumers can voluntarily purchase the return shipping insurance when purchasing products online and placing an order. If the insurance is purchased, if the order is r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q40/08
CPCG06Q30/0206G06Q30/0201G06Q40/08
Inventor 徐贤浩沈瑶涵
Owner HUAZHONG UNIV OF SCI & TECH
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