CN112837092A - Commodity quotation method, system and storage medium - Google Patents
Commodity quotation method, system and storage medium Download PDFInfo
- Publication number
- CN112837092A CN112837092A CN202110123886.9A CN202110123886A CN112837092A CN 112837092 A CN112837092 A CN 112837092A CN 202110123886 A CN202110123886 A CN 202110123886A CN 112837092 A CN112837092 A CN 112837092A
- Authority
- CN
- China
- Prior art keywords
- customer
- current
- commodity
- grade
- current commodity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000004590 computer program Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 15
- 230000006399 behavior Effects 0.000 description 20
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
Landscapes
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a commodity quotation method, a system and a storage medium, wherein the method comprises the following steps: matching the current customer with corresponding customer grades according to the purchasing behavior of the current customer, wherein each customer grade corresponds to different grade prices; judging whether the current commodity is adjusted in cost or not after judging that the current commodity is in a historical commodity list purchased by a current customer, and after judging that the adjusted cost of the current commodity is in a preset cost adjustment interval, quoting the current commodity according to the customer grade of the current customer; and after judging that the current commodity has no adjusted cost or the adjusted cost of the current commodity is in a preset cost interval, judging whether the price of the current commodity is adjusted, if so, taking the current commodity as the last price in the historical purchase record or the grade price corresponding to the customer grade according to the price adjustment degree of the current commodity. The embodiment of the invention can effectively solve the technical problem of poor quotation effect.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a commodity quotation method, a commodity quotation system and a storage medium.
Background
Currently, different customers in the wholesale industry have different quotes. The existing method for offering commodities is to record the transaction price of the customer for purchasing different commodities, and when the customer purchases the ordered commodities again, the last offer of purchasing the commodities is displayed on the sales order. However, when a customer purchases a certain commodity again, the existing commodity quotation method is used for quotation of the commodity purchased by the customer in a fixed quotation mode, and reasonable quotation cannot be performed, so that the quotation effect is poor.
Disclosure of Invention
The invention provides a commodity quotation method, a commodity quotation system and a storage medium, which aim to solve the technical problem that the existing commodity quotation method cannot display reasonable quotation and causes poor quotation effect.
A first embodiment of the present invention provides a commodity quotation method, including:
the method comprises the steps of dividing different customer grades according to the purchasing behavior of a customer, matching the current customer with the corresponding customer grade according to the purchasing behavior of the current customer, wherein each customer grade corresponds to different grade prices;
judging whether the current commodity purchased by the current customer is in a historical purchased commodity list of the current customer or not according to the historical purchase record of the current customer;
judging whether the current commodity is adjusted in cost or not after judging that the current commodity is in a historical commodity list purchased by a current customer, and after judging that the adjusted cost of the current commodity is in a preset cost adjustment interval, offering the current commodity according to the customer grade of the current customer;
and after judging that the current commodity has no adjusted cost or the adjusted cost of the current commodity is in a preset cost interval, judging whether the price of the current commodity is adjusted, if so, using the current commodity as the last price in the historical purchase record or the grade price corresponding to the customer grade according to the price adjustment degree of the current commodity.
Further, different customer grades are classified according to the purchasing behavior of the customers, specifically:
after detecting that the purchase amount of the customer is in a first preset interval, dividing the customer into a first customer grade;
after the purchase amount of the customer is detected to be in a second preset interval, the customer is divided into a second customer grade;
and after detecting that the purchase amount of the customer is in a third preset interval, classifying the customer into a third customer grade.
Further, different customer grades are classified according to the purchasing behavior of the customers, specifically:
after detecting that the purchase credit of the customer is in a fourth preset interval, dividing the customer into a first customer grade;
after detecting that the purchase credit of the customer is in a fifth preset interval, dividing the customer into a second customer grade;
after detecting that the purchase credit of the customer is in a sixth preset interval, dividing the customer into a third customer grade; wherein the purchase credit is set by a historical purchase record of the customer.
Further, the step of setting the current commodity offer as the last offer in the historical purchase record or the level price corresponding to the customer level according to the price adjustment degree of the current commodity specifically includes:
if the price adjustment value of the current commodity is in a preset price adjustment interval, the current commodity offer is the last offer in the historical purchase record;
and if the price adjustment value of the current commodity is not in a preset price adjustment interval, the current commodity is quoted according to the client grade of the current client.
A second embodiment of the present invention provides a commodity quotation system including:
the matching module is used for dividing different customer grades according to the purchasing behavior of the customer and matching the current customer with the corresponding customer grade according to the purchasing behavior of the current customer, wherein each customer grade corresponds to different grade prices;
the judging module is used for judging whether the current commodity purchased by the current customer is in the historical purchased commodity list of the current customer according to the historical purchase record of the current customer;
the first quotation module is used for judging whether the current commodity is adjusted in cost or not after judging that the current commodity is in a historical commodity list purchased by a current customer, and quotating the current commodity according to the customer grade of the current customer after judging that the adjusted cost of the current commodity is in a preset cost adjustment interval;
and the second quotation module is used for judging whether the price of the current commodity is adjusted or not after judging that the current commodity is not adjusted in cost or the adjusted cost of the current commodity is in a preset cost interval, and if so, the current commodity is quoted as the last quotation in the historical purchase record or the grade price corresponding to the customer grade according to the price adjustment degree of the current commodity.
Further, the matching module is specifically configured to:
after detecting that the purchase amount of the customer is in a first preset interval, dividing the customer into a first customer grade;
after the purchase amount of the customer is detected to be in a second preset interval, the customer is divided into a second customer grade;
and after detecting that the purchase amount of the customer is in a third preset interval, classifying the customer into a third customer grade.
Further, the matching module is further configured to:
after detecting that the purchase credit of the customer is in a fourth preset interval, dividing the customer into a first customer grade;
after detecting that the purchase credit of the customer is in a fifth preset interval, dividing the customer into a second customer grade; after detecting that the purchase credit of the customer is in a sixth preset interval, dividing the customer into a third customer grade; wherein the purchase credit is set by a historical purchase record of the customer.
Further, the second quotation module is specifically configured to:
if the price adjustment value of the current commodity is in a preset price adjustment interval, the current commodity offer is the last offer in the historical purchase record;
and if the price adjustment value of the current commodity is not in a preset price adjustment interval, the current commodity is quoted according to the client grade of the current client.
The invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls a device to execute the commodity offering method.
According to the embodiment of the invention, different client grades are divided, and the offers corresponding to the different client grades are different, so that the offers can be reasonably carried out, the commodity offer effect is improved, the condition that the transaction efficiency is poor due to overhigh offer or overlow offer is avoided, and the commodity offer is reasonably adjusted by comprehensively considering the influence of two influence factors on the offer, so that the commodity offer effect is further improved.
Drawings
Fig. 1 is a schematic flow chart of a method for offering a commodity according to a first embodiment of the present invention;
fig. 2 is another flow chart of a method for offering a commodity according to the first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a product quotation system according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be understood that the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Referring to fig. 1, a first embodiment of the present invention provides a method for offering a commodity, including:
s1, classifying different customer grades according to the purchasing behavior of the customer, and matching the current customer with the corresponding customer grade according to the purchasing behavior of the current customer, wherein each customer grade corresponds to different grade prices;
s2, judging whether the current commodity purchased by the current customer is in the historical purchased commodity list of the current customer according to the historical purchase record of the current customer;
s3, judging whether the cost of the current commodity is adjusted or not after judging that the current commodity is in the historical commodity list of the current customer, and after judging that the adjusted cost of the current commodity is in a preset cost adjustment interval, offering the current commodity according to the customer grade of the current customer;
and S4, judging whether the price of the current commodity is adjusted or not after judging that the cost of the current commodity is not adjusted or the adjusted cost of the current commodity is in a preset cost interval, and if so, bidding the current commodity as the last price in the historical purchase record or the grade price corresponding to the grade of the customer according to the price adjustment degree of the current commodity.
According to the embodiment of the invention, different client grades are divided, and the offers corresponding to the different client grades are different, so that the offers can be reasonably carried out, the commodity offer effect is improved, the condition that the transaction efficiency is poor due to overhigh offer or overlow offer is avoided, and the commodity offer is reasonably adjusted by comprehensively considering the influence of two influence factors on the offer, so that the commodity offer effect is further improved.
As a specific implementation manner of the embodiment of the present invention, different customer grades are classified according to the purchasing behavior of the customer, specifically:
after detecting that the purchase amount of the customer is in a first preset interval, dividing the customer into a first customer grade;
after the purchase amount of the customer is detected to be in a second preset interval, the customer is divided into a second customer grade;
and after detecting that the purchase amount of the customer is in a third preset interval, classifying the customer into a third customer grade.
Alternatively, by taking the purchase amount in the customer's purchasing behavior as a basis for classifying the customer into different customer grades, generally, the larger the purchase amount, the larger the price advantage for the commodity. In the embodiment of the invention, different customer grades are classified according to the purchase amount, and the larger the purchase amount is, the lower the commodity price quoted by the corresponding customer grade is. It should be noted that, in the embodiment of the present invention, each customer level is provided with a level price corresponding to a different commodity, and the level price of the different commodity of each customer level may be set according to an actual business requirement.
As a specific implementation manner of the embodiment of the present invention, different customer grades are classified according to the purchasing behavior of the customer, specifically:
after detecting that the purchase credit of the customer is in a fourth preset interval, dividing the customer into a first customer grade;
after detecting that the purchase credit of the customer is in a fifth preset interval, dividing the customer into a second customer grade;
after detecting that the purchase credit of the customer is in a sixth preset interval, dividing the customer into a third customer grade; wherein the purchase credit is set by the customer's historical purchase record.
Alternatively, the purchase credit may be obtained based on a historical purchase record of the customer. In one specific acquisition mode, the purchase credit can be scored by the purchasing behavior of the customer, so that the purchase credit of the unused customer is calculated. Specifically, the purchasing behavior of the customer includes the actual successful transaction rate of the customer, the payment time of the customer and the like, and the credit of the customer is scored through a series of purchasing behaviors.
As a specific embodiment, the customers may be classified into different customer grades by combining the purchase credit of the user with the purchase amount, specifically, the customer grade may be classified according to the level of the priority by classifying the purchase credit and the purchase amount into different judgment indexes with different priority levels.
Specifically, the prices corresponding to each customer level are different, the first customer level corresponds to a VI P price, the second customer level corresponds to a wholesale price, the third customer level corresponds to a retail price, and the customers of the first customer level are customers with higher purchase credit or larger purchase amount; the second customer level corresponds to a general wholesale customer, namely a customer with general credit or general purchase amount; the third customer level corresponds to the customers going to the point shopping. According to the embodiment of the invention, different client grades are divided, and the offers corresponding to the different client grades are different, so that the offers can be reasonably carried out, the commodity offer effect is improved, and the condition that the transaction efficiency is poor due to over-high offer or over-low offer is avoided.
As a specific implementation manner of the embodiment of the present invention, the current commodity offer is made into a grade price corresponding to the last offer or the customer grade in the historical purchase record according to the price adjustment degree of the current commodity, and specifically:
if the price adjustment value of the current commodity is in a preset price adjustment interval, the current commodity price is quoted as the last price in the historical purchase record;
and if the price adjustment value of the current commodity is not in the preset price adjustment interval, the current commodity is quoted according to the client grade of the current client.
In the embodiment of the invention, a specific price adjusting interval can be set according to business needs.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, different client grades are divided, and the offers corresponding to the different client grades are different, so that the offers can be reasonably carried out, the commodity offer effect is improved, and the condition that the transaction efficiency is poor due to over-high offer or over-low offer is avoided. Furthermore, the embodiment of the invention considers two influence factors of the quotation, including the influence of cost adjustment and price adjustment on the quotation, and reasonably adjusts the commodity quotation by comprehensively considering the influence of the two influence factors on the quotation, thereby realizing the effect of improving the commodity quotation.
Referring to fig. 3, a second embodiment of the present invention provides a product quotation system, including:
the matching module 10 is used for classifying different customer grades according to the purchasing behavior of the customer, and matching the current customer with the corresponding customer grade according to the purchasing behavior of the current customer, wherein each customer grade corresponds to different grade prices;
a judging module 20, configured to judge whether a current product purchased by a current customer is in a historical purchased product list of the current customer according to a historical purchase record of the current customer;
the first quotation module 30 is configured to determine whether the cost of the current commodity is adjusted after determining that the current commodity is in the historical purchased commodity list of the current customer, and to quote the current commodity according to the customer grade of the current customer after determining that the adjusted cost of the current commodity is in a preset cost adjustment interval;
and the second quotation module 40 is configured to, after determining that the current commodity has no adjusted cost or the adjusted cost of the current commodity is within a preset cost interval, determine whether the price of the current commodity is adjusted, and if so, quote the current commodity as the last quotation in the historical purchase record or the level price corresponding to the customer level according to the price adjustment degree of the current commodity.
According to the embodiment of the invention, different client grades are divided, and the offers corresponding to the different client grades are different, so that the offers can be reasonably carried out, the commodity offer effect is improved, the condition that the transaction efficiency is poor due to overhigh offer or overlow offer is avoided, and the commodity offer is reasonably adjusted by comprehensively considering the influence of two influence factors on the offer, so that the commodity offer effect is further improved.
As a specific implementation manner of the embodiment of the present invention, the matching module 10 is specifically configured to:
after detecting that the purchase amount of the customer is in a first preset interval, dividing the customer into a first customer grade;
after the purchase amount of the customer is detected to be in a second preset interval, the customer is divided into a second customer grade;
and after detecting that the purchase amount of the customer is in a third preset interval, classifying the customer into a third customer grade.
Alternatively, by taking the purchase amount in the customer's purchasing behavior as a basis for classifying the customer into different customer grades, generally, the larger the purchase amount, the larger the price advantage for the commodity. In the embodiment of the invention, different customer grades are classified according to the purchase amount, and the larger the purchase amount is, the lower the commodity price quoted by the corresponding customer grade is. It should be noted that, in the embodiment of the present invention, each customer level is provided with a level price corresponding to a different commodity, and the level price of the different commodity of each customer level may be set according to an actual business requirement.
As a specific implementation manner of the embodiment of the present invention, the matching module 10 is further configured to:
after detecting that the purchase credit of the customer is in a fourth preset interval, dividing the customer into a first customer grade;
after detecting that the purchase credit of the customer is in a fifth preset interval, dividing the customer into a second customer grade; after detecting that the purchase credit of the customer is in a sixth preset interval, dividing the customer into a third customer grade; wherein the purchase credit is set by the customer's historical purchase record.
Alternatively, the purchase credit may be obtained based on a historical purchase record of the customer. In one specific acquisition mode, the purchase credit can be scored by the purchasing behavior of the customer, so that the purchase credit of the unused customer is calculated. Specifically, the purchasing behavior of the customer includes the actual successful transaction rate of the customer, the payment time of the customer and the like, and the credit of the customer is scored through a series of purchasing behaviors.
As a specific embodiment, the customers may be classified into different customer grades by combining the purchase credit of the user with the purchase amount, specifically, the customer grade may be classified according to the level of the priority by classifying the purchase credit and the purchase amount into different judgment indexes with different priority levels.
Specifically, the prices corresponding to each customer level are different, the first customer level corresponds to a VI P price, the second customer level corresponds to a wholesale price, the third customer level corresponds to a retail price, and the customers of the first customer level are customers with higher purchase credit or larger purchase amount; the second customer level corresponds to a general wholesale customer, namely a customer with general credit or general purchase amount; the third customer level corresponds to the customers going to the point shopping. According to the embodiment of the invention, different client grades are divided, and the offers corresponding to the different client grades are different, so that the offers can be reasonably carried out, the commodity offer effect is improved, and the condition that the transaction efficiency is poor due to over-high offer or over-low offer is avoided.
As a specific implementation manner of the embodiment of the present invention, the second price quotation module 40 is specifically configured to:
if the price adjustment value of the current commodity is in a preset price adjustment interval, the current commodity price is quoted as the last price in the historical purchase record;
and if the price adjustment value of the current commodity is not in the preset price adjustment interval, the current commodity is quoted according to the client grade of the current client.
In the embodiment of the invention, a specific price adjusting interval can be set according to business needs.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, different client grades are divided, and the offers corresponding to the different client grades are different, so that the offers can be reasonably carried out, the commodity offer effect is improved, and the condition that the transaction efficiency is poor due to over-high offer or over-low offer is avoided. Furthermore, the embodiment of the invention considers two influence factors of the quotation, including the influence of cost adjustment and price adjustment on the quotation, and reasonably adjusts the commodity quotation by comprehensively considering the influence of the two influence factors on the quotation, thereby realizing the effect of improving the commodity quotation.
The foregoing is a preferred embodiment of the present invention, and it should be noted that it would be apparent to those skilled in the art that various modifications and enhancements can be made without departing from the principles of the invention, and such modifications and enhancements are also considered to be within the scope of the invention.
Claims (9)
1. A method of offering merchandise, comprising:
the method comprises the steps of dividing different customer grades according to the purchasing behavior of a customer, matching the current customer with the corresponding customer grade according to the purchasing behavior of the current customer, wherein each customer grade corresponds to different grade prices;
judging whether the current commodity purchased by the current customer is in a historical purchased commodity list of the current customer or not according to the historical purchase record of the current customer;
judging whether the current commodity is adjusted in cost or not after judging that the current commodity is in a historical commodity list purchased by a current customer, and after judging that the adjusted cost of the current commodity is in a preset cost adjustment interval, offering the current commodity according to the customer grade of the current customer;
and after judging that the current commodity has no adjusted cost or the adjusted cost of the current commodity is in a preset cost interval, judging whether the price of the current commodity is adjusted, if so, using the current commodity as the last price in the historical purchase record or the grade price corresponding to the customer grade according to the price adjustment degree of the current commodity.
2. The method for offering merchandise according to claim 1, wherein different customer grades are classified according to the purchasing behavior of the customer, specifically:
after detecting that the purchase amount of the customer is in a first preset interval, dividing the customer into a first customer grade;
after the purchase amount of the customer is detected to be in a second preset interval, the customer is divided into a second customer grade;
and after detecting that the purchase amount of the customer is in a third preset interval, classifying the customer into a third customer grade.
3. The method for offering merchandise according to claim 1, wherein different customer grades are classified according to the purchasing behavior of the customer, specifically:
after detecting that the purchase credit of the customer is in a fourth preset interval, dividing the customer into a first customer grade;
after detecting that the purchase credit of the customer is in a fifth preset interval, dividing the customer into a second customer grade;
after detecting that the purchase credit of the customer is in a sixth preset interval, dividing the customer into a third customer grade; wherein the purchase credit is set by a historical purchase record of the customer.
4. The method for offering a commodity according to claim 1, wherein the step of setting the current commodity offer as a last offer in the historical purchase record or a level price corresponding to the customer level according to the price adjustment degree of the current commodity includes:
if the price adjustment value of the current commodity is in a preset price adjustment interval, the current commodity offer is the last offer in the historical purchase record;
and if the price adjustment value of the current commodity is not in a preset price adjustment interval, the current commodity is quoted according to the client grade of the current client.
5. A merchandise quotation system comprising:
the matching module is used for dividing different customer grades according to the purchasing behavior of the customer and matching the current customer with the corresponding customer grade according to the purchasing behavior of the current customer, wherein each customer grade corresponds to different grade prices;
the judging module is used for judging whether the current commodity purchased by the current customer is in the historical purchased commodity list of the current customer according to the historical purchase record of the current customer;
the first quotation module is used for judging whether the current commodity is adjusted in cost or not after judging that the current commodity is in a historical commodity list purchased by a current customer, and quotating the current commodity according to the customer grade of the current customer after judging that the adjusted cost of the current commodity is in a preset cost adjustment interval;
and the second quotation module is used for judging whether the price of the current commodity is adjusted or not after judging that the current commodity is not adjusted in cost or the adjusted cost of the current commodity is in a preset cost interval, and if so, the current commodity is quoted as the last quotation in the historical purchase record or the grade price corresponding to the customer grade according to the price adjustment degree of the current commodity.
6. The commodity quotation system of claim 5, wherein the matching module is specifically configured to:
after detecting that the purchase amount of the customer is in a first preset interval, dividing the customer into a first customer grade;
after the purchase amount of the customer is detected to be in a second preset interval, the customer is divided into a second customer grade;
and after detecting that the purchase amount of the customer is in a third preset interval, classifying the customer into a third customer grade.
7. The merchandise quotation system of claim 5, wherein the matching module is further configured to:
after detecting that the purchase credit of the customer is in a fourth preset interval, dividing the customer into a first customer grade;
after detecting that the purchase credit of the customer is in a fifth preset interval, dividing the customer into a second customer grade; after detecting that the purchase credit of the customer is in a sixth preset interval, dividing the customer into a third customer grade; wherein the purchase credit is set by a historical purchase record of the customer.
8. The commodity quotation system of claim 5, wherein the second quotation module is specifically configured to:
if the price adjustment value of the current commodity is in a preset price adjustment interval, the current commodity offer is the last offer in the historical purchase record;
and if the price adjustment value of the current commodity is not in a preset price adjustment interval, the current commodity is quoted according to the client grade of the current client.
9. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method for offering price of commodities according to any one of claims 1 to 4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110123886.9A CN112837092A (en) | 2021-01-29 | 2021-01-29 | Commodity quotation method, system and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110123886.9A CN112837092A (en) | 2021-01-29 | 2021-01-29 | Commodity quotation method, system and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112837092A true CN112837092A (en) | 2021-05-25 |
Family
ID=75932353
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110123886.9A Pending CN112837092A (en) | 2021-01-29 | 2021-01-29 | Commodity quotation method, system and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112837092A (en) |
-
2021
- 2021-01-29 CN CN202110123886.9A patent/CN112837092A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9898713B1 (en) | Methods systems and computer program products for monitoring inventory and prices | |
US8818879B2 (en) | Data element specific transaction routing | |
US20130173320A1 (en) | Method and system utilizing merchant sales activity to provide indicative measurements of merchant and business performance | |
US20140257927A1 (en) | Computer system for processing data on returned goods | |
US20160092979A1 (en) | System and method to optimize discount setting utilizing flexible pricing and continuous product time value decay | |
CN110009450B (en) | Order counting method and device for package commodities | |
CN113763125A (en) | Method and device for generating purchase order about purchased goods | |
CN109615420A (en) | A kind of mall system based on vending machine | |
CN112990982A (en) | Method and device for sharing points of small and medium-sized enterprises and electronic equipment | |
KR20030095309A (en) | Point management apparatus, point management system, point management method, and point management program | |
CN116611796A (en) | Exception detection method and device for store transaction data | |
CN112837092A (en) | Commodity quotation method, system and storage medium | |
CN111401893A (en) | Electronic card transaction management system and method | |
JP5054489B2 (en) | The fractional amount discount settlement system in the service point system | |
JP6873030B2 (en) | Information processing equipment, information processing methods and information processing programs | |
CN110619546A (en) | Implementation scheme for solving high throughput of directional ticket issuing | |
US20150149316A1 (en) | Method and System of Conducting Online Group Purchase | |
JP2002007782A (en) | Electronic commerce method and device | |
JP2001134635A (en) | System and method for supporting merchandise sales | |
CN114266629A (en) | E-commerce data processing system based on fair transaction | |
KR101383215B1 (en) | Mobile mediation service system of materials for industry | |
RU2699068C1 (en) | System for guaranteed return of goods in retail sales network | |
CN112308671A (en) | Commodity package generation method, system and storage medium | |
KR20110055941A (en) | Point transaction system, method for transacting point using transaction server, and computer readable medium thereof | |
TW202117638A (en) | Service method for integrating payment discounts |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210525 |
|
RJ01 | Rejection of invention patent application after publication |