CN1704956A - Data processing system and method for pricing with multiple discounts - Google Patents

Abstract

The present invention discloses a data processing system and method for calculating the price of a plurality of commodities to be purchased by a customer based on a plurality of predetermined discount criteria. According to the present invention, a discount amount is generated based on a plurality of applicable discount criteria selected from the plurality of predetermined discount criteria and an order information including data about the plurality of commodities. The calculation of the price of the plurality of commodities is completed by deducting the discount amount from the sum of the prices of the plurality of commodities.

Description

Data processing system and method for pricing with multiple discounts

technical field

The present invention relates to a data processing system and method for valuing commodities, in particular to a data processing system and method for valuing commodities for multiple discounts.

Background technique

Product discounts have long been one of the important marketing methods used by merchants to attract customers. On the one hand, merchants can use discounts to clear their inventory, and on the other hand, customers can also buy cheaper products because of discounts.

There are many prior inventions related to the use of information systems to implement preferential discounts for customers have been disclosed, for example, US Patent No. 6,615,184, US Patent No. 6,076,071, and US Patent No. 5,873,069. However, the above-mentioned prior art only seeks the lowest price for a specific product, or provides discounted price and relevant information for purchasing the specific product.

In a physical transaction, a customer may order a wide variety and quantity of goods, so the discount plan offered by the merchant will become more and more complicated. At present, the prior art about using information system to implement preferential discounts for customers still has no technology for dealing with multiple discounts.

Therefore, the main purpose of the present invention is to provide a data processing system and method for pricing with multiple discounts.

Contents of the invention

The object of the present invention is to provide a data processing system and method, which are used to calculate the price of the commodity that the customer wants to buy with multiple discounts.

In order to achieve the above object, the present invention provides a data processing system for pricing N commodities to be purchased by a customer based on M1 predetermined discount criteria, wherein M1 and N are each a natural number. The data processing system includes a storage module, a terminal module, a discount module and a pricing module. The storage module is used for storing the M1 predetermined discount criteria. The terminal module is used for inputting order information. The order information contains data about the N items. The discount module is used for receiving the order information from the terminal module, and based on the order information, fetches M2 applicable discount criteria from the storage module. The discount module selects M3 applicable discount criteria from the M2 applicable discount criteria according to the order information. The discount module generates a discount amount according to the M3 determined applicable discount criteria and the order information. Wherein M2 is a positive integer less than or equal to M1, and M3 is a positive integer less than or equal to M2. The pricing module is used for receiving the order information from the terminal module, and receiving the discount amount from the discount module. The pricing module deducts the discount amount from the sum of the prices of the N commodities to complete the pricing of the N commodities.

The present invention further provides a data processing method for pricing N commodities to be purchased by a customer based on predetermined M1 discount criteria, wherein M1 and N are each a natural number. According to the data processing method of the present invention, firstly, an order information is received, and the order information includes data about the N commodities. Then, based on the order information, M2 applicable discount criteria are taken out from the pre-stored M1 discount criteria, wherein M2 is a positive integer less than or equal to M1. Next, according to the order information, M3 determined applicable discount criteria are selected from the M2 applicable discount criteria, wherein M3 is a positive integer less than or equal to M2. A discount amount is generated according to the M3 determined applicable discount criteria and the order information. Finally, the pricing of the N commodities is completed by deducting the discount amount from the sum of the prices of the N commodities.

The advantages and spirit of the present invention can be further understood with the help of the following detailed description of the invention and the accompanying drawings.

Description of drawings

FIG. 1 is a functional block diagram of a data processing system according to a preferred embodiment of the present invention.

Fig. 2 is a flowchart of a data processing method according to a preferred embodiment of the present invention.

Fig. 3 is a flowchart of an embodiment of the present invention.

Wherein, the reference signs are explained as follows:

10: Data processing system 12: Terminal module

14: Discount module 16: Pricing module

18: Storage module 20: Editing module

22: Commodity database DC1: Scheduled discount criteria

DC2: Applicable Discount Criteria DC3: Determine Applicable Discount Criteria

DC4: Discount guidelines not yet applicable OI: Ordering Information

DOC: discount amount NI: prompt information

S30～S42: Process steps S50～S80: Process steps

AOD: discount amount

Detailed ways

Preferred specific embodiments of the present invention will be described in detail below, so as to fully illustrate the features, spirit, advantages and simplicity of implementation of the present invention.

Please refer to FIG. 1 , which is a functional block diagram of a data processing system 10 according to a preferred embodiment of the present invention. The data processing system 10 is used for calculating the prices of N commodities to be purchased by a customer based on M1 predetermined discount criteria (Predetermined discount criteria) DC1, wherein M1 and N are respectively a natural number. The data processing system 10 includes a storage module (Storing module) 18, a terminal module (Terminal module) 12, a discount module (Discount module) 14 and a pricing module (Pricing module) 16.

The storage module 18 is used for storing M1 predetermined discount criteria DC1. The terminal module 12 is used for inputting an order information (Order information) OI. The order information OI includes, for example, data about the N items, an identification data of the customer, and a shopping place data of the customer.

The discount module 14 is used for receiving the order information OI from the terminal module 12 , and fetching the M2 applicable discount criteria (Applicable discount criteria) DC2 from the storage module 18 based on the order information OI. The discount module 14 selects M3 determined applicable discount criteria (Applied discountcriteria) DC3 from the M2 applicable discount criteria DC2 according to the order information OI. The discount module 14 also generates an Amount of discount (Amount of discount) AOD according to the M3 applicable discount criteria DC3 and the order information OI, wherein M2 is a positive integer less than or equal to M1, and M3 is less than or equal to M2 A positive integer of . In practical applications, the data processing system 10 should include a product database 22 . When the discount module 14 calculates the discount amount AOD, it will retrieve commodity price data from the commodity database 22 for comparison and calculation.

In addition, the discount module 14 generates (M2-M3) prompt information (Notice) according to (M2-M3) unapplied discount criteria (Unapplied discount criteria) DC4 and order information OI in the M2 applicable discount criteria DC2. information) NI. Each prompt message NI corresponds to one of the (M2-M3) discount criteria DC4 not yet applied. The discount module 14 then outputs the (M2-M3) prompt information NI to the terminal module 12 . The customer can obtain the (M2-M3) pieces of prompt information NI via the terminal module 12, and choose whether to continue purchasing to reach (M2-M3) pieces of discount criteria DC4 that have not yet been applied.

The pricing module 16 is used for receiving the order information OI from the terminal module 12 , and receiving the discount amount AOD from the discount module 14 . The pricing module 16 completes the pricing of the N commodities by deducting the discount amount AOD from the sum of the prices of the N commodities. In practical applications, the pricing module 16 can store data related to commodity prices, or as shown in FIG. 1 , the pricing module 16 retrieves commodity price data from the commodity database 22 for calculation.

In a specific embodiment, the data processing system 10 further includes an editing module (Editing module) 20 , as shown in FIG. 1 . The editing module 20 is used for selectively adding, deleting or modifying the M1 predetermined discount criteria DC1 stored in the storage module 18 .

Please refer to FIG. 2 , which is a flow chart of the data processing method of the data processing system 10 disclosed in FIG. 1 . According to the data processing method of the present invention, based on M1 pre-stored predetermined discount criteria DC1, the price is calculated for N commodities to be purchased by a customer, wherein M1 and N are respectively a natural number. The data processing method according to the present invention will be described below using the data processing system 10 in FIG. 1 . First in step S30, because the terminal module 12 inputs an order information OI directed to the customer. The order information OI includes, for example, data about the N items, a customer identification data, and a shopping location data. Then step S32 is executed. In step S32 , the terminal module 12 sends the order information OI to the discount module 14 . Then step S34 is executed. In step S34, the discount module 14 accepts the order information OI of the N commodity data. Then step S35 is executed. In step S35, the discount module 14 takes out M2 applicable discount criteria DC2 from the M1 predetermined discount criteria DC1 stored in the storage module 18, wherein M2 is a positive value less than or equal to M1. integer. Then step S36 is executed. In step S36, the discount module 14 selects M3 applicable discount criteria DC3 from the M2 applicable discount criteria DC2 according to the order information OI, wherein M3 is less than or equal to M2 A positive integer. Then step S37 is executed. In step S37, the discount module 14 generates a discount amount AOD to the pricing module 16 according to the M3 determined applicable discount criteria DC3 and the order information OI.

Next, in step S38, the discount module 14 generates (M2-M3) reminder information NI according to (M2-M3) unapplied discount criteria DC4 among the M2 applicable discount criteria DC2 and the order information OI output to the terminal module 12. Next, in step S40, the customer decides whether to continue purchasing the product or service according to the (M2-M3) prompt information NI generated by the terminal module 12 . If the result of step S40 is negative, proceed to step S42; if the result of step S40 is positive, then re-execute step S30. In other words, if the customer decides not to continue to purchase products or services after learning the prompt information NI, but only wants the originally ordered N items, the process proceeds to step S42. In step S42, the pricing module 16 receives the order information OI from the terminal module 12, and obtains the discount amount 26 at the discount module 14, and the pricing module 16 deducts the discount amount AOD from the total price of N commodities, To complete the valuation of N commodities.

If step S30 is executed again, the customer purchases N1 commodities, and new order information for N1 commodities is generated. Wherein N1 and N are both natural numbers, and N1 is greater than N. The N1 commodities may cover the previous N commodities, and may also add to or delete from the previous N commodities to be purchased. In other words, if the customer decides to continue to purchase other commodities or delete some commodities that were originally intended to be purchased after knowing the (M2-M3) prompt information NI generated by the terminal module 12 in step S40, the input order The information is corrected, and step S30 and subsequent processes are continued to complete the pricing of N1 commodities.

The implementation environment of the data processing system and method according to the present invention may be a virtual store operated through the Internet, or a physical store, shopping mall or shopping center, such as a wholesale store, a department store, and the like.

In the following, the data processing method according to the present invention will be described again in the implementation of a merchant offering discounts and customers purchasing commodities.

Please refer to FIG. 3 . FIG. 3 is a flowchart of an embodiment of a data processing procedure according to the present invention. First of all, before the customer purchases the product, the person who formulates the discount criteria, that is, the merchant, needs to formulate the discount criteria according to the actual situation. Therefore, step S50 in FIG. 3 needs to be executed first. In step S50, the merchant sets four discount criteria through the operation interface. These guidelines include: Option 1, a discount of 20 yuan for the purchase of five red pens; Option 2, a 10% discount for two books; Five hundred yuan, free shipping twenty-five yuan. In this embodiment, shipping costs are factored into whether a discount is given. In practical applications, shipping costs may not be considered as a discount.

Then step S52 is executed. In step S52, the four discount criteria set by the merchant are stored as predetermined discount criteria.

Then step S54 is executed, and in step S54, at the terminal module 12, order information about a commodity desired by a customer is input. The order information includes the information that the customer wants to purchase four red pens, one book A and two books B. The data about commodity prices are pre-stored in a commodity database. The price data of the above-mentioned pre-ordered products are as follows: each red pen is 20 yuan, each book A is 200 yuan, and each book B is 150 yuan. Like the general actual consumption behavior, before ordering goods, the customer will first input personal data about the customer through such as credit card or membership card. Therefore, the order data will contain information about the customer.

In this embodiment, the four discount schemes set by the merchant are all provided for members, so as to stimulate consumers to join the membership. Therefore, the identity of the customer needs to be confirmed before calculating the discount amount. After step S54, by executing step S56. In step S56, the identity of the customer is confirmed by means of the information about the customer in the order data. If the confirmation result of step S56 is affirmative, then proceed to step S58.

In step S58, use the computer system to take out the discount criteria preset by the merchant and compare them sequentially. Firstly, compare whether the quantity of red pens purchased by the customer conforms to the first plan. Because the customer purchased four red pens and did not meet the plan one, the result of step S58 was negative, then step S60 was skipped and step S62 was executed. If the result of step S58 is affirmative, step S60 will be executed. In step S60, a discount amount a is calculated.

Then step S62 is executed to compare whether the quantity of books purchased by the customer conforms to the second scheme. Because the customer purchases one book A and two books B, which meets the second scheme, the result of step S62 is affirmative, and then step S64 is executed. In step S64, a 10% discount is given for two or more books, and a discount amount b (50 yuan) is obtained.

Next, step S66 is executed to check whether the third scheme is met. Because the total price of the customer's consumption (580 yuan) minus the discount amount B (50 yuan) is 530 yuan, and the customer who meets the plan three can enjoy a 30% discount when the entire store spends 500 or more. The result of step S66 is affirmative, and then step S68 is executed. . In step S68, a discount amount c (159 yuan) is generated.

Next, step S70 is executed to check whether the scheme 4 is met. After comparing the above three plans, the payable consumption amount is 530 yuan - 159 yuan = 371 yuan, which does not meet the criterion of plan 4. The final consumption of 500 yuan is free of shipping fee of 25 yuan. The result of step S70 is negative, then skip step S72 and execute Step S74. If the result of step S70 is affirmative, step S72 will be executed. In step S72, a discount amount d is calculated. Then step S74 is executed to add up all the discount amounts.

Execute step S76 after step S74, compare the four pre-stored discount criteria, and find that if the customer buys another red pen, the discount criterion of Scheme 1 can be satisfied, and it is found that if the customer increases the consumption amount of 129 yuan, that is The discount criteria of option 4 can be met. In step S76, the terminal module 12 will remind the customer that if the customer buys another red pen to meet the first plan, and if the customer buys another 129 original amount, he can enjoy a discount of 25 yuan of shipping fee and other prompt information to the customer, thereby stimulating the customer willingness to buy.

In step S78, the customer can decide whether to continue shopping after receiving the prompt message. If the result of step S78 is negative, then proceed to step S80, deduct the sum of the discount amount from the sum of the prices of the goods ordered by the customer, and calculate the final total amount payable by the customer to be 396 yuan (including freight) to complete the valuation. If the result of step S78 is affirmative, then return to step S54, accept this customer to add and delete this order information.

The features and advantages of the present invention are summarized as follows:

(a) According to the pricing system and pricing method of the present invention, multiple discounts are priced, which can best meet the promotional behavior of actual commercial activities; and

(b) Not only provide discount information available to customers, but also remind customers in real time of discount information that is not yet applicable to customers, which can stimulate customers' willingness to buy more products.

With the help of the above detailed description of the preferred embodiments, the characteristics and spirit of the present invention are more clearly described, and the protection scope of the present invention is not limited by the preferred embodiments disclosed above.

Claims (10)

1, a kind of data handling system, this data handling system is in order to do valuation based on M1 predetermined discount criterion at N the commodity of being bought by client's desire, and wherein M1 and N are respectively a natural number, it is characterized in that this system comprises:

One storage module, this storage module is in order to store this M1 predetermined discount criterion;

One terminal module, this terminal module is in order to import an ordering information, and this ordering information comprises the data about this N commodity;

One discount module, this discount module receives this ordering information in order to this terminal module place certainly, this discount module is also taken out M2 discount criterion applicatory based on this ordering information from this storage module place, this discount module is also selected M3 according to this ordering information and is determined suitable discount criterion from this M2 discount criterion applicatory, this discount module and determine that according to this M3 the discount criterion and this ordering information that are suitable for produce a discount amount, wherein M2 is a positive integer that is less than or equal to M1, and M3 is a positive integer that is less than or equal to M2; And

One valuation module, this valuation module receives this ordering information in order to this terminal module place certainly, this valuation module also receives this discount amount from this discount module place, this valuation module and by a summation of the price of this N commodity is deducted the valuation that this discount amount is finished this N commodity.

2, data handling system as claimed in claim 1, it is characterized in that this discount module also produces (M2-M3) individual information according to (M2-M3) individual discount criterion that is not suitable for as yet and this ordering information in this M2 the discount criterion applicatory, each information is to a discount criterion that is suitable for as yet in should (M2-M3) individual discount criterion that is suitable for as yet, this discount module subsequently and output should (M2-M3) individual information to this terminal module.

3, data handling system as claimed in claim 1 is characterized in that also comprising:

One editor module, this editor module is in order to optionally to make increase, delete or to revise the discount criterion that stores in this storage module.

4, data handling system as claimed in claim 1 is characterized in that this ordering information also comprises the recognition data about this client.

5, data handling system as claimed in claim 1 is characterized in that this ordering information also comprises the shopping locality data about this client.

6, a kind of data processing method, this data processing method is in order to do valuation based on M1 predetermined discount criterion at N the commodity of being bought by client's desire, and wherein M1 and N are respectively a natural number, it is characterized in that this method comprises the following step:

Receive an ordering information, this ordering information comprises the data about this N commodity;

Based on this ordering information, from this M1 that prestores discount criterion, take out M2 discount criterion applicatory, wherein M2 is a positive integer that is less than or equal to M1;

According to this ordering information, from this M2 discount criterion applicatory, select M3 and determine suitable discount criterion, wherein M3 is a positive integer that is less than or equal to M2;

According to this M3 definite discount criterion and this ordering information that is suitable for, produce a discount amount; And

By a summation of the price of this N commodity is deducted the valuation that this discount amount is finished this N commodity.

7, data processing method as claimed in claim 6 is characterized in that also comprising the following step:

According to (M2-M3) individual discount criterion and this ordering information that is not suitable for as yet in this M2 the discount criterion applicatory, produce (M2-M3) individual information, each information is to a discount criterion that is suitable for as yet in should (M2-M3) individual discount criterion that is suitable for as yet; And

Output should (M2-M3) individual information.

8, data processing method as claimed in claim 6 is characterized in that also comprising the following step:

Optionally this M1 that prestores discount criterion is made increase, deletes or revised.

9, data processing method as claimed in claim 6 is characterized in that this ordering information and comprises a customer identification data.

10, data processing method as claimed in claim 6 is characterized in that this ordering information and comprises a shopping locality data.

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